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feisarx86/DeepWeeds
|
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# DeepWeeds
This model was ported from tensorflow to pytorch [Maythaporn/CNN-Model-for-Thai-Cannabis-Plant-Classification](https://github.com/Maythaporn/CNN-Model-for-Thai-Cannabis-Plant-Classification)
This model is a fine-tuned version of [google/vit-base-patch16-224-in21k](https://huggingface.co/google/vit-base-patch16-224-in21k) on the imagefolder dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 5e-05
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3.0
### Training results
### Framework versions
- Transformers 4.32.0.dev0
- Pytorch 2.0.1+cu117
- Datasets 2.14.4
- Tokenizers 0.13.3
|
[
"foi_thong",
"hang_kra_rog_phu_phan_st1",
"hang_suea_sakonnakhon_tt1",
"kroeng_krawia",
"tanao_si_kan_khaw_wa1",
"tanao_si_kan_sang_rd1"
] |
knocheeri/vit-base-houses-distressed-15-aug
|
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# vit-base-houses-distressed-15-aug
This model is a fine-tuned version of [google/vit-base-patch16-224-in21k](https://huggingface.co/google/vit-base-patch16-224-in21k) on the imagefolder dataset.
It achieves the following results on the evaluation set:
- Loss: 1.0351
- Accuracy: 0.6602
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 0.0002
- train_batch_size: 16
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 4
### Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 0.4968 | 1.14 | 100 | 0.8434 | 0.5620 |
| 0.2653 | 2.27 | 200 | 0.6327 | 0.7536 |
| 0.0487 | 3.41 | 300 | 1.0351 | 0.6602 |
### Framework versions
- Transformers 4.30.2
- Pytorch 2.0.1
- Datasets 2.13.1
- Tokenizers 0.13.3
|
[
"dilapidated",
"not applicable",
"well-kept"
] |
dvs/autotrain-mulder-vs-scully-multi-model-82521142038
|
# Model Trained Using AutoTrain
- Problem type: Binary Classification
- Model ID: 82521142038
- CO2 Emissions (in grams): 0.0122
## Validation Metrics
- Loss: 0.302
- Accuracy: 1.000
- Precision: 1.000
- Recall: 1.000
- AUC: 1.000
- F1: 1.000
|
[
"mulder",
"scully"
] |
Deexit/custom_ViT
|
<!-- This model card has been generated automatically according to the information Keras had access to. You should
probably proofread and complete it, then remove this comment. -->
# Deexit/custom_ViT
This model is a fine-tuned version of [google/vit-base-patch16-224-in21k](https://huggingface.co/google/vit-base-patch16-224-in21k) on an unknown dataset.
It achieves the following results on the evaluation set:
- Train Loss: 0.9353
- Validation Loss: 1.0343
- Train Accuracy: 0.8667
- Epoch: 9
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Training hyperparameters
The following hyperparameters were used during training:
- optimizer: {'name': 'AdamWeightDecay', 'learning_rate': {'class_name': 'PolynomialDecay', 'config': {'initial_learning_rate': 3e-05, 'decay_steps': 1680, 'end_learning_rate': 0.0, 'power': 1.0, 'cycle': False, 'name': None}}, 'decay': 0.0, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-08, 'amsgrad': False, 'weight_decay_rate': 0.01}
- training_precision: float32
### Training results
| Train Loss | Validation Loss | Train Accuracy | Epoch |
|:----------:|:---------------:|:--------------:|:-----:|
| 2.2697 | 2.1984 | 0.4667 | 0 |
| 2.1245 | 2.0728 | 0.6 | 1 |
| 1.9780 | 1.9057 | 0.8 | 2 |
| 1.8135 | 1.7702 | 0.8667 | 3 |
| 1.6516 | 1.6121 | 0.8667 | 4 |
| 1.4854 | 1.4733 | 0.8667 | 5 |
| 1.3306 | 1.3294 | 0.8667 | 6 |
| 1.1829 | 1.2269 | 0.8333 | 7 |
| 1.0596 | 1.1176 | 0.8667 | 8 |
| 0.9353 | 1.0343 | 0.8667 | 9 |
### Framework versions
- Transformers 4.31.0
- TensorFlow 2.12.0
- Datasets 2.14.4
- Tokenizers 0.13.3
|
[
"annualcrop",
"forest",
"herbaceousvegetation",
"highway",
"industrial",
"pasture",
"permanentcrop",
"residential",
"river",
"sealake"
] |
elenaThevalley/resnet-50-finetuned-prueba
|
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# resnet-50-finetuned-prueba
This model is a fine-tuned version of [microsoft/resnet-50](https://huggingface.co/microsoft/resnet-50) on the imagefolder dataset.
It achieves the following results on the evaluation set:
- Loss: 1.5807
- Accuracy: 0.2
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 5e-05
- train_batch_size: 32
- eval_batch_size: 32
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 128
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 3
### Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| No log | 1.0 | 1 | 1.5807 | 0.2 |
| No log | 2.0 | 2 | 1.5789 | 0.2 |
| No log | 3.0 | 3 | 1.5776 | 0.2 |
### Framework versions
- Transformers 4.31.0
- Pytorch 2.0.1+cu118
- Datasets 2.14.4
- Tokenizers 0.13.3
|
[
"drink",
"food",
"inside",
"menu",
"outside"
] |
impcabbie/swin-tiny-patch4-window7-224-finetuned-eurosat
|
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# swin-tiny-patch4-window7-224-finetuned-eurosat
This model is a fine-tuned version of [microsoft/swin-tiny-patch4-window7-224](https://huggingface.co/microsoft/swin-tiny-patch4-window7-224) on the imagefolder dataset.
It achieves the following results on the evaluation set:
- Loss: 0.6503
- Accuracy: 0.7674
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 5e-05
- train_batch_size: 32
- eval_batch_size: 32
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 128
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 10
### Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 1.0764 | 0.99 | 18 | 0.8915 | 0.6318 |
| 0.7888 | 1.97 | 36 | 0.7533 | 0.6860 |
| 0.707 | 2.96 | 54 | 0.7525 | 0.6977 |
| 0.6115 | 4.0 | 73 | 0.6723 | 0.7403 |
| 0.5552 | 4.99 | 91 | 0.7092 | 0.7093 |
| 0.5057 | 5.97 | 109 | 0.6733 | 0.7326 |
| 0.4761 | 6.96 | 127 | 0.6893 | 0.7326 |
| 0.4393 | 8.0 | 146 | 0.6933 | 0.7287 |
| 0.4284 | 8.99 | 164 | 0.6348 | 0.7519 |
| 0.4084 | 9.86 | 180 | 0.6503 | 0.7674 |
### Framework versions
- Transformers 4.35.2
- Pytorch 2.1.0+cu118
- Datasets 2.15.0
- Tokenizers 0.15.0
|
[
"classic",
"edgy",
"feminine"
] |
Akhil123/emotions_classifier
|
<!-- This model card has been generated automatically according to the information Keras had access to. You should
probably proofread and complete it, then remove this comment. -->
# Akhil123/emotions_classifier
This model is a fine-tuned version of [google/vit-base-patch16-224-in21k](https://huggingface.co/google/vit-base-patch16-224-in21k) on an unknown dataset.
It achieves the following results on the evaluation set:
- Train Loss: 2.0827
- Validation Loss: 2.0793
- Train Accuracy: 0.1437
- Epoch: 19
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Training hyperparameters
The following hyperparameters were used during training:
- optimizer: {'name': 'AdamWeightDecay', 'learning_rate': {'class_name': 'PolynomialDecay', 'config': {'initial_learning_rate': 0.0003, 'decay_steps': 12800, 'end_learning_rate': 0.0, 'power': 1.0, 'cycle': False, 'name': None}}, 'decay': 0.0, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-08, 'amsgrad': False, 'weight_decay_rate': 0.01}
- training_precision: float32
### Training results
| Train Loss | Validation Loss | Train Accuracy | Epoch |
|:----------:|:---------------:|:--------------:|:-----:|
| 1.9720 | 1.6874 | 0.225 | 0 |
| 2.0874 | 2.0802 | 0.125 | 1 |
| 2.0744 | 2.0407 | 0.2313 | 2 |
| 2.0540 | 2.0760 | 0.1688 | 3 |
| 2.1039 | 2.0796 | 0.1125 | 4 |
| 2.0813 | 2.0794 | 0.1187 | 5 |
| 2.0802 | 2.0797 | 0.1187 | 6 |
| 2.0793 | 2.0790 | 0.125 | 7 |
| 2.0657 | 2.0128 | 0.2 | 8 |
| 2.0724 | 2.0920 | 0.125 | 9 |
| 2.0896 | 2.0744 | 0.1187 | 10 |
| 2.0844 | 2.0824 | 0.1187 | 11 |
| 2.0819 | 2.0755 | 0.125 | 12 |
| 2.0614 | 2.0392 | 0.1562 | 13 |
| 2.0676 | 2.0812 | 0.1187 | 14 |
| 2.0810 | 2.0792 | 0.1187 | 15 |
| 2.0826 | 2.0813 | 0.1187 | 16 |
| 2.0788 | 2.0770 | 0.15 | 17 |
| 2.0797 | 2.0733 | 0.125 | 18 |
| 2.0827 | 2.0793 | 0.1437 | 19 |
### Framework versions
- Transformers 4.31.0
- TensorFlow 2.12.0
- Datasets 2.14.4
- Tokenizers 0.13.3
|
[
"anger",
"contempt",
"disgust",
"fear",
"happy",
"neutral",
"sad",
"surprise"
] |
MojtabaAbdiKh/vit-base-patch16-224-finetuned-flower
|
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# vit-base-patch16-224-finetuned-flower
This model is a fine-tuned version of [google/vit-base-patch16-224](https://huggingface.co/google/vit-base-patch16-224) on the imagefolder dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 5e-05
- train_batch_size: 32
- eval_batch_size: 32
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 5
### Training results
### Framework versions
- Transformers 4.24.0
- Pytorch 2.0.1+cu118
- Datasets 2.7.1
- Tokenizers 0.13.3
|
[
"daisy",
"dandelion",
"roses",
"sunflowers",
"tulips"
] |
krisetine/swin-tiny-patch4-window7-224-finetuned-eurosat
|
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# swin-tiny-patch4-window7-224-finetuned-eurosat
This model is a fine-tuned version of [microsoft/swin-tiny-patch4-window7-224](https://huggingface.co/microsoft/swin-tiny-patch4-window7-224) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0650
- Accuracy: 0.9789
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 5e-05
- train_batch_size: 32
- eval_batch_size: 32
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 128
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 3
### Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 0.2825 | 1.0 | 190 | 0.1204 | 0.9637 |
| 0.1611 | 2.0 | 380 | 0.0837 | 0.9759 |
| 0.1434 | 3.0 | 570 | 0.0650 | 0.9789 |
### Framework versions
- Transformers 4.31.0
- Pytorch 2.0.1+cu118
- Datasets 2.14.4
- Tokenizers 0.13.3
|
[
"annualcrop",
"forest",
"herbaceousvegetation",
"highway",
"industrial",
"pasture",
"permanentcrop",
"residential",
"river",
"sealake"
] |
akedziora/vit-base-patch16-224-finetuned-flower
|
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# vit-base-patch16-224-finetuned-flower
This model is a fine-tuned version of [google/vit-base-patch16-224](https://huggingface.co/google/vit-base-patch16-224) on the imagefolder dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 5e-05
- train_batch_size: 32
- eval_batch_size: 32
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 5
### Training results
### Framework versions
- Transformers 4.24.0
- Pytorch 2.0.1+cu118
- Datasets 2.7.1
- Tokenizers 0.13.3
|
[
"daisy",
"dandelion",
"roses",
"sunflowers",
"tulips"
] |
jayanthspratap/mobilenet_v2_1.0_224-cxr-view
|
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# mobilenet_v2_1.0_224-cxr-view
This model is a fine-tuned version of [google/mobilenet_v2_1.0_224](https://huggingface.co/google/mobilenet_v2_1.0_224) on the imagefolder dataset.
It achieves the following results on the evaluation set:
- Loss: 0.2278
- Accuracy: 0.9294
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 5e-06
- train_batch_size: 4
- eval_batch_size: 4
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 16
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 30
### Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 0.7049 | 1.0 | 109 | 0.6746 | 0.7449 |
| 0.6565 | 2.0 | 219 | 0.6498 | 0.6743 |
| 0.5699 | 3.0 | 328 | 0.5730 | 0.7995 |
| 0.5702 | 4.0 | 438 | 0.5119 | 0.8087 |
| 0.4849 | 5.0 | 547 | 0.4356 | 0.8679 |
| 0.356 | 6.0 | 657 | 0.4641 | 0.8087 |
| 0.3713 | 7.0 | 766 | 0.3407 | 0.8679 |
| 0.4571 | 8.0 | 876 | 0.4896 | 0.7813 |
| 0.3896 | 9.0 | 985 | 0.3124 | 0.8884 |
| 0.3422 | 10.0 | 1095 | 0.2791 | 0.9271 |
| 0.3358 | 11.0 | 1204 | 0.3998 | 0.8246 |
| 0.3658 | 12.0 | 1314 | 0.2716 | 0.9066 |
| 0.4547 | 13.0 | 1423 | 0.5828 | 0.7973 |
| 0.2615 | 14.0 | 1533 | 0.3446 | 0.8542 |
| 0.377 | 15.0 | 1642 | 0.6322 | 0.7312 |
| 0.2846 | 16.0 | 1752 | 0.2621 | 0.9248 |
| 0.3433 | 17.0 | 1861 | 0.3709 | 0.8383 |
| 0.2851 | 18.0 | 1971 | 0.8134 | 0.7312 |
| 0.2298 | 19.0 | 2080 | 0.4324 | 0.8314 |
| 0.3916 | 20.0 | 2190 | 0.3631 | 0.8360 |
| 0.3049 | 21.0 | 2299 | 0.3405 | 0.8633 |
| 0.3068 | 22.0 | 2409 | 0.2585 | 0.9021 |
| 0.3091 | 23.0 | 2518 | 0.2278 | 0.9294 |
| 0.2749 | 24.0 | 2628 | 0.2963 | 0.9043 |
| 0.3543 | 25.0 | 2737 | 0.2637 | 0.8975 |
| 0.3024 | 26.0 | 2847 | 0.2966 | 0.8998 |
| 0.2593 | 27.0 | 2956 | 0.3842 | 0.8542 |
| 0.1979 | 28.0 | 3066 | 0.2711 | 0.8884 |
| 0.2549 | 29.0 | 3175 | 0.3145 | 0.8633 |
| 0.3216 | 29.86 | 3270 | 0.4565 | 0.8155 |
### Framework versions
- Transformers 4.28.0
- Pytorch 2.0.1+cu117
- Datasets 2.14.4
- Tokenizers 0.13.3
|
[
"lat",
"pa"
] |
ThankGod/swin-tiny-patch4-window7-224-vit-finetuned-melanoma
|
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# swin-tiny-patch4-window7-224-vit-finetuned-melanoma
This model is a fine-tuned version of [microsoft/swin-tiny-patch4-window7-224](https://huggingface.co/microsoft/swin-tiny-patch4-window7-224) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.2687
- Accuracy: 0.9017
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 5e-05
- train_batch_size: 32
- eval_batch_size: 32
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 128
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 15
### Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 0.5392 | 1.0 | 112 | 0.5796 | 0.7884 |
| 0.4716 | 2.0 | 224 | 0.4380 | 0.8304 |
| 0.3932 | 3.0 | 336 | 0.3749 | 0.8534 |
| 0.3446 | 4.0 | 448 | 0.3851 | 0.8423 |
| 0.3401 | 5.0 | 560 | 0.3141 | 0.8708 |
| 0.2842 | 6.0 | 672 | 0.3309 | 0.8685 |
| 0.3126 | 7.0 | 784 | 0.3493 | 0.8629 |
| 0.2748 | 8.0 | 896 | 0.3391 | 0.8772 |
| 0.2455 | 9.0 | 1008 | 0.3053 | 0.8843 |
| 0.2361 | 10.0 | 1120 | 0.2749 | 0.8954 |
| 0.2218 | 11.0 | 1232 | 0.2842 | 0.8994 |
| 0.2071 | 12.0 | 1344 | 0.2507 | 0.9089 |
| 0.2228 | 13.0 | 1456 | 0.2614 | 0.8994 |
| 0.2018 | 14.0 | 1568 | 0.2664 | 0.9105 |
| 0.1774 | 15.0 | 1680 | 0.2687 | 0.9017 |
### Framework versions
- Transformers 4.28.0
- Pytorch 2.0.1+cu118
- Datasets 2.14.4
- Tokenizers 0.13.3
|
[
"actinic keratosis",
"benign keratosis",
"dermatofibroma",
"melanocytic nevus",
"vascular lesion"
] |
tizzyjcc/autotrain-skin-burns-classification-by-degree-83366142287
|
# Model Trained Using AutoTrain
- Problem type: Multi-class Classification
- Model ID: 83366142287
- CO2 Emissions (in grams): 1.0224
## Validation Metrics
- Loss: 0.544
- Accuracy: 0.752
- Macro F1: 0.740
- Micro F1: 0.752
- Weighted F1: 0.748
- Macro Precision: 0.773
- Micro Precision: 0.752
- Weighted Precision: 0.756
- Macro Recall: 0.723
- Micro Recall: 0.752
- Weighted Recall: 0.752
|
[
"degree1",
"degree2",
"degree3"
] |
jessjmr/vit_model_test
|
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# vit_model_test
This model is a fine-tuned version of [google/vit-base-patch16-224-in21k](https://huggingface.co/google/vit-base-patch16-224-in21k) on the beans dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0061
- Accuracy: 1.0
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 0.0002
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 4
### Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 0.1311 | 3.85 | 500 | 0.0061 | 1.0 |
### Framework versions
- Transformers 4.31.0
- Pytorch 2.0.1+cu118
- Datasets 2.14.4
- Tokenizers 0.13.3
|
[
"angular_leaf_spot",
"bean_rust",
"healthy"
] |
dvs/swin-tiny-patch4-window7-224-mulder-v-scully-colab
|
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# swin-tiny-patch4-window7-224-mulder-v-scully-colab
This model is a fine-tuned version of [microsoft/swin-tiny-patch4-window7-224](https://huggingface.co/microsoft/swin-tiny-patch4-window7-224) on the imagefolder dataset.
It achieves the following results on the evaluation set:
- Loss: 0.3652
- Accuracy: 1.0
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 5e-05
- train_batch_size: 32
- eval_batch_size: 32
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 128
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 20
### Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| No log | 1.0 | 1 | 0.6105 | 0.75 |
| No log | 2.0 | 2 | 0.6975 | 0.5 |
| No log | 3.0 | 3 | 0.8309 | 0.25 |
| No log | 4.0 | 4 | 0.7604 | 0.5 |
| No log | 5.0 | 5 | 0.6327 | 0.5 |
| No log | 6.0 | 6 | 0.5101 | 0.75 |
| No log | 7.0 | 7 | 0.4148 | 0.75 |
| No log | 8.0 | 8 | 0.3652 | 1.0 |
| No log | 9.0 | 9 | 0.3433 | 1.0 |
| 0.0984 | 10.0 | 10 | 0.3231 | 1.0 |
| 0.0984 | 11.0 | 11 | 0.3071 | 1.0 |
| 0.0984 | 12.0 | 12 | 0.3047 | 1.0 |
| 0.0984 | 13.0 | 13 | 0.3189 | 0.75 |
| 0.0984 | 14.0 | 14 | 0.3437 | 0.75 |
| 0.0984 | 15.0 | 15 | 0.3701 | 0.75 |
| 0.0984 | 16.0 | 16 | 0.3959 | 0.75 |
| 0.0984 | 17.0 | 17 | 0.4167 | 0.75 |
| 0.0984 | 18.0 | 18 | 0.4190 | 0.75 |
| 0.0984 | 19.0 | 19 | 0.4154 | 0.75 |
| 0.0632 | 20.0 | 20 | 0.4114 | 0.75 |
### Framework versions
- Transformers 4.28.0
- Pytorch 2.0.1+cu118
- Datasets 2.14.4
- Tokenizers 0.13.3
|
[
"mulder",
"scully"
] |
dvs/swin-tiny-patch4-window7-224-mulder-v-scully-colab2
|
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# swin-tiny-patch4-window7-224-mulder-v-scully-colab2
This model is a fine-tuned version of [microsoft/swin-tiny-patch4-window7-224](https://huggingface.co/microsoft/swin-tiny-patch4-window7-224) on the imagefolder dataset.
It achieves the following results on the evaluation set:
- Loss: 0.5344
- Accuracy: 1.0
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 5e-05
- train_batch_size: 32
- eval_batch_size: 32
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 128
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 20
### Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| No log | 1.0 | 1 | 0.6899 | 0.5 |
| No log | 2.0 | 2 | 0.6701 | 0.25 |
| No log | 3.0 | 3 | 0.6309 | 0.5 |
| No log | 4.0 | 4 | 0.6049 | 0.5 |
| No log | 5.0 | 5 | 0.5828 | 0.5 |
| No log | 6.0 | 6 | 0.5650 | 0.75 |
| No log | 7.0 | 7 | 0.5486 | 0.75 |
| No log | 8.0 | 8 | 0.5344 | 1.0 |
| No log | 9.0 | 9 | 0.5240 | 1.0 |
| 0.2978 | 10.0 | 10 | 0.5149 | 1.0 |
| 0.2978 | 11.0 | 11 | 0.5066 | 1.0 |
| 0.2978 | 12.0 | 12 | 0.4980 | 1.0 |
| 0.2978 | 13.0 | 13 | 0.4880 | 1.0 |
| 0.2978 | 14.0 | 14 | 0.4699 | 1.0 |
| 0.2978 | 15.0 | 15 | 0.4507 | 1.0 |
| 0.2978 | 16.0 | 16 | 0.4310 | 1.0 |
| 0.2978 | 17.0 | 17 | 0.4155 | 1.0 |
| 0.2978 | 18.0 | 18 | 0.4054 | 1.0 |
| 0.2978 | 19.0 | 19 | 0.3994 | 1.0 |
| 0.1751 | 20.0 | 20 | 0.3970 | 1.0 |
### Framework versions
- Transformers 4.28.0
- Pytorch 2.0.1+cu118
- Datasets 2.14.4
- Tokenizers 0.13.3
|
[
"mulder",
"scully"
] |
platzi/johao-vit_model
|
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# johao-vit_model
This model is a fine-tuned version of [google/vit-base-patch16-224-in21k](https://huggingface.co/google/vit-base-patch16-224-in21k) on the beans dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0249
- Accuracy: 0.9925
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 0.0002
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 4
### Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 0.1277 | 3.85 | 500 | 0.0249 | 0.9925 |
### Framework versions
- Transformers 4.31.0
- Pytorch 2.0.1+cu118
- Datasets 2.14.4
- Tokenizers 0.13.3
|
[
"angular_leaf_spot",
"bean_rust",
"healthy"
] |
ALM-AHME/beit-large-patch16-224-finetuned-Lesion-Classification-HAM10000-AH-60-20-20-Shuffled-3rd
|
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# beit-large-patch16-224-finetuned-Lesion-Classification-HAM10000-AH-60-20-20-Shuffled-3rd
This model is a fine-tuned version of [microsoft/beit-large-patch16-224](https://huggingface.co/microsoft/beit-large-patch16-224) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0488
- Accuracy: 0.9901
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 5e-06
- train_batch_size: 16
- eval_batch_size: 16
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 32
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.9
- num_epochs: 12
### Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 1.9835 | 1.0 | 114 | 1.9296 | 0.2315 |
| 1.6045 | 2.0 | 229 | 1.4334 | 0.5172 |
| 1.0525 | 3.0 | 343 | 0.9298 | 0.6962 |
| 0.795 | 4.0 | 458 | 0.6580 | 0.7709 |
| 0.5739 | 5.0 | 572 | 0.4717 | 0.8366 |
| 0.5821 | 6.0 | 687 | 0.3511 | 0.8851 |
| 0.4566 | 7.0 | 801 | 0.2705 | 0.9204 |
| 0.2751 | 8.0 | 916 | 0.2114 | 0.9384 |
| 0.2352 | 9.0 | 1030 | 0.1303 | 0.9688 |
| 0.1831 | 10.0 | 1145 | 0.1194 | 0.9688 |
| 0.1515 | 11.0 | 1259 | 0.0673 | 0.9869 |
| 0.204 | 11.95 | 1368 | 0.0488 | 0.9901 |
### Framework versions
- Transformers 4.31.0
- Pytorch 2.0.1+cu118
- Datasets 2.14.4
- Tokenizers 0.13.3
|
[
"akiec",
"bcc",
"bkl",
"df",
"mel",
"nv",
"vasc"
] |
ALM-AHME/convnextv2-large-1k-224-finetuned-Lesion-Classification-HAM10000-AH-60-20-20-Shuffled-3rd
|
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# convnextv2-large-1k-224-finetuned-Lesion-Classification-HAM10000-AH-60-20-20-Shuffled-3rd
This model is a fine-tuned version of [facebook/convnextv2-large-1k-224](https://huggingface.co/facebook/convnextv2-large-1k-224) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0672
- Accuracy: 0.9893
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 5e-05
- train_batch_size: 16
- eval_batch_size: 16
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 32
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.9
- num_epochs: 15
### Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 1.9123 | 1.0 | 114 | 1.9145 | 0.2241 |
| 1.7059 | 2.0 | 229 | 1.6895 | 0.5599 |
| 1.3919 | 3.0 | 343 | 1.3194 | 0.6634 |
| 1.0811 | 4.0 | 458 | 1.0303 | 0.7151 |
| 0.9301 | 5.0 | 572 | 0.8376 | 0.7562 |
| 0.7336 | 6.0 | 687 | 0.6449 | 0.8374 |
| 0.5805 | 7.0 | 801 | 0.5091 | 0.8736 |
| 0.5982 | 8.0 | 916 | 0.4677 | 0.8826 |
| 0.4939 | 9.0 | 1030 | 0.4029 | 0.8842 |
| 0.3296 | 10.0 | 1145 | 0.3051 | 0.9204 |
| 0.3559 | 11.0 | 1259 | 0.5266 | 0.8366 |
| 0.3089 | 12.0 | 1374 | 0.3569 | 0.8883 |
| 0.2272 | 13.0 | 1488 | 0.1487 | 0.9680 |
| 0.3355 | 14.0 | 1603 | 0.2344 | 0.9269 |
| 0.1581 | 14.93 | 1710 | 0.0672 | 0.9893 |
### Framework versions
- Transformers 4.32.0
- Pytorch 2.0.1+cu118
- Datasets 2.14.4
- Tokenizers 0.13.3
|
[
"akiec",
"bcc",
"bkl",
"df",
"mel",
"nv",
"vasc"
] |
ALM-AHME/swinv2-large-patch4-window12to16-192to256-22kto1k-ft-finetuned-Lesion-Classification-HAM10000-3
|
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# swinv2-large-patch4-window12to16-192to256-22kto1k-ft-finetuned-Lesion-Classification-HAM10000-3
This model is a fine-tuned version of [microsoft/swinv2-large-patch4-window12to16-192to256-22kto1k-ft](https://huggingface.co/microsoft/swinv2-large-patch4-window12to16-192to256-22kto1k-ft) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0112
- Accuracy: 0.9951
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 5e-05
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 32
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.5
- num_epochs: 10
### Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 1.1885 | 1.0 | 114 | 0.8718 | 0.6593 |
| 0.7037 | 2.0 | 228 | 0.4208 | 0.8637 |
| 0.5085 | 2.99 | 342 | 0.3446 | 0.8744 |
| 0.2874 | 4.0 | 457 | 0.2027 | 0.9327 |
| 0.355 | 5.0 | 571 | 0.1666 | 0.9401 |
| 0.2493 | 6.0 | 685 | 0.0969 | 0.9655 |
| 0.1909 | 6.99 | 799 | 0.0558 | 0.9836 |
| 0.1821 | 8.0 | 914 | 0.0412 | 0.9901 |
| 0.1853 | 9.0 | 1028 | 0.0239 | 0.9943 |
| 0.0666 | 9.98 | 1140 | 0.0112 | 0.9951 |
### Framework versions
- Transformers 4.32.0
- Pytorch 2.0.1+cu118
- Datasets 2.14.4
- Tokenizers 0.13.3
|
[
"akiec",
"bcc",
"bkl",
"df",
"mel",
"nv",
"vasc"
] |
ALM-AHME/beit-large-patch16-224-finetuned-LungCancer-Classification-LC25000-AH-40-30-30-Shuffled-3rd
|
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# beit-large-patch16-224-finetuned-LungCancer-Classification-LC25000-AH-40-30-30-Shuffled-3rd
This model is a fine-tuned version of [microsoft/beit-large-patch16-224](https://huggingface.co/microsoft/beit-large-patch16-224) on the imagefolder dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0727
- Accuracy: 0.9717
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 0.0005
- train_batch_size: 16
- eval_batch_size: 16
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 64
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.5
- num_epochs: 5
### Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 0.3123 | 0.99 | 93 | 0.7104 | 0.7770 |
| 0.261 | 1.99 | 187 | 0.4562 | 0.8173 |
| 0.2012 | 3.0 | 281 | 0.1291 | 0.9508 |
| 0.1424 | 4.0 | 375 | 0.1332 | 0.9508 |
| 0.0949 | 4.96 | 465 | 0.0727 | 0.9717 |
### Framework versions
- Transformers 4.32.0
- Pytorch 2.0.1+cu118
- Datasets 2.14.4
- Tokenizers 0.13.3
|
[
"lung-benign_tissue",
"lung_adenocarcinoma",
"lung_squamous_cell_carcinoma"
] |
ALM-AHME/convnextv2-large-1k-224-finetuned-LungCancer-Classification-LC25000-AH-40-30-30-Shuffled-3rd
|
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# convnextv2-large-1k-224-finetuned-LungCancer-Classification-LC25000-AH-40-30-30-Shuffled-3rd
This model is a fine-tuned version of [facebook/convnextv2-large-1k-224](https://huggingface.co/facebook/convnextv2-large-1k-224) on the imagefolder dataset.
It achieves the following results on the evaluation set:
- Loss: 0.1174
- Accuracy: 0.9681
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 0.0005
- train_batch_size: 16
- eval_batch_size: 16
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 64
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.5
- num_epochs: 7
### Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 0.1749 | 0.99 | 93 | 0.1174 | 0.9681 |
| 0.3183 | 1.99 | 187 | 0.1800 | 0.9247 |
| 0.3048 | 3.0 | 281 | 0.1898 | 0.9234 |
| 1.1006 | 4.0 | 375 | 1.1143 | 0.3338 |
| 1.0988 | 4.99 | 468 | 1.0992 | 0.3238 |
| 1.0961 | 5.99 | 562 | 1.1006 | 0.3238 |
| 1.0987 | 6.94 | 651 | 1.0994 | 0.3238 |
### Framework versions
- Transformers 4.32.0
- Pytorch 2.0.1+cu118
- Datasets 2.14.4
- Tokenizers 0.13.3
|
[
"lung-benign_tissue",
"lung_adenocarcinoma",
"lung_squamous_cell_carcinoma"
] |
platzi/platzi-vit-model-jose-alcocer
|
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# platzi-vit-model-jose-alcocer
This model is a fine-tuned version of [google/vit-base-patch16-224-in21k](https://huggingface.co/google/vit-base-patch16-224-in21k) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0074
- Accuracy: 1.0
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 0.0002
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 4
### Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 0.1491 | 3.85 | 500 | 0.0074 | 1.0 |
### Framework versions
- Transformers 4.28.0
- Pytorch 2.0.1+cu118
- Tokenizers 0.13.3
|
[
"angular_leaf_spot",
"bean_rust",
"healthy"
] |
lu5/swin-tiny-patch4-window7-224-finetuned-eurosat
|
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# swin-tiny-patch4-window7-224-finetuned-eurosat
This model is a fine-tuned version of [microsoft/swin-tiny-patch4-window7-224](https://huggingface.co/microsoft/swin-tiny-patch4-window7-224) on the food101 dataset.
It achieves the following results on the evaluation set:
- Loss: 0.8081
- Accuracy: 0.7847
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 5e-05
- train_batch_size: 32
- eval_batch_size: 32
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 128
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 3
### Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 1.4466 | 1.0 | 532 | 1.1012 | 0.7097 |
| 1.1481 | 2.0 | 1065 | 0.8738 | 0.7657 |
| 1.01 | 3.0 | 1596 | 0.8081 | 0.7847 |
### Framework versions
- Transformers 4.28.0
- Pytorch 2.0.1+cu118
- Datasets 2.14.4
- Tokenizers 0.13.3
|
[
"apple_pie",
"baby_back_ribs",
"baklava",
"beef_carpaccio",
"beef_tartare",
"beet_salad",
"beignets",
"bibimbap",
"bread_pudding",
"breakfast_burrito",
"bruschetta",
"caesar_salad",
"cannoli",
"caprese_salad",
"carrot_cake",
"ceviche",
"cheesecake",
"cheese_plate",
"chicken_curry",
"chicken_quesadilla",
"chicken_wings",
"chocolate_cake",
"chocolate_mousse",
"churros",
"clam_chowder",
"club_sandwich",
"crab_cakes",
"creme_brulee",
"croque_madame",
"cup_cakes",
"deviled_eggs",
"donuts",
"dumplings",
"edamame",
"eggs_benedict",
"escargots",
"falafel",
"filet_mignon",
"fish_and_chips",
"foie_gras",
"french_fries",
"french_onion_soup",
"french_toast",
"fried_calamari",
"fried_rice",
"frozen_yogurt",
"garlic_bread",
"gnocchi",
"greek_salad",
"grilled_cheese_sandwich",
"grilled_salmon",
"guacamole",
"gyoza",
"hamburger",
"hot_and_sour_soup",
"hot_dog",
"huevos_rancheros",
"hummus",
"ice_cream",
"lasagna",
"lobster_bisque",
"lobster_roll_sandwich",
"macaroni_and_cheese",
"macarons",
"miso_soup",
"mussels",
"nachos",
"omelette",
"onion_rings",
"oysters",
"pad_thai",
"paella",
"pancakes",
"panna_cotta",
"peking_duck",
"pho",
"pizza",
"pork_chop",
"poutine",
"prime_rib",
"pulled_pork_sandwich",
"ramen",
"ravioli",
"red_velvet_cake",
"risotto",
"samosa",
"sashimi",
"scallops",
"seaweed_salad",
"shrimp_and_grits",
"spaghetti_bolognese",
"spaghetti_carbonara",
"spring_rolls",
"steak",
"strawberry_shortcake",
"sushi",
"tacos",
"takoyaki",
"tiramisu",
"tuna_tartare",
"waffles"
] |
ALM-AHME/swinv2-large-patch4-window12to16-192to256-22kto1k-ft-finetuned-LungCancer-LC25000-AH-40-30-30-3
|
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# swinv2-large-patch4-window12to16-192to256-22kto1k-ft-finetuned-LungCancer-LC25000-AH-40-30-30-3
This model is a fine-tuned version of [microsoft/swinv2-large-patch4-window12to16-192to256-22kto1k-ft](https://huggingface.co/microsoft/swinv2-large-patch4-window12to16-192to256-22kto1k-ft) on the imagefolder dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0191
- Accuracy: 0.9925
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 0.0005
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 32
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.5
- num_epochs: 7
### Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 0.2297 | 1.0 | 187 | 0.3401 | 0.9231 |
| 0.3255 | 2.0 | 374 | 0.1010 | 0.9643 |
| 0.4962 | 3.0 | 561 | 0.0967 | 0.9608 |
| 0.181 | 4.0 | 749 | 0.1624 | 0.9296 |
| 0.2266 | 5.0 | 936 | 0.0975 | 0.9615 |
| 0.0981 | 6.0 | 1123 | 0.0577 | 0.9783 |
| 0.0629 | 6.99 | 1309 | 0.0191 | 0.9925 |
### Framework versions
- Transformers 4.32.0
- Pytorch 2.0.1+cu118
- Datasets 2.14.4
- Tokenizers 0.13.3
|
[
"lung-benign_tissue",
"lung_adenocarcinoma",
"lung_squamous_cell_carcinoma"
] |
neil-code/autotrain-img-classification-84361142494
|
# Model Trained Using AutoTrain
- Problem type: Multi-class Classification
- Model ID: 84361142494
- CO2 Emissions (in grams): 0.6526
## Validation Metrics
- Loss: 0.697
- Accuracy: 0.753
- Macro F1: 0.751
- Micro F1: 0.753
- Weighted F1: 0.754
- Macro Precision: 0.761
- Micro Precision: 0.753
- Weighted Precision: 0.763
- Macro Recall: 0.748
- Micro Recall: 0.753
- Weighted Recall: 0.753
|
[
"elf",
"goblin",
"knight",
"zombie"
] |
byc3230/swin-tiny-patch4-window7-224-finetuned-aiornot
|
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# swin-tiny-patch4-window7-224-finetuned-aiornot
This model is a fine-tuned version of [microsoft/swin-tiny-patch4-window7-224](https://huggingface.co/microsoft/swin-tiny-patch4-window7-224) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.2085
- Accuracy: 0.9178
- F1: 0.9145
- Log Loss: 2.9617
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 5e-05
- train_batch_size: 64
- eval_batch_size: 64
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 256
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 3
### Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 | Log Loss |
|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|:--------:|
| 0.2306 | 1.0 | 58 | 0.1888 | 0.9232 | 0.9197 | 2.7681 |
| 0.151 | 1.99 | 116 | 0.1951 | 0.9227 | 0.9190 | 2.7875 |
| 0.1326 | 2.99 | 174 | 0.1985 | 0.9237 | 0.9201 | 2.7488 |
### Framework versions
- Transformers 4.30.2
- Pytorch 2.0.0
- Datasets 2.14.4
- Tokenizers 0.13.3
|
[
"no_ai",
"ai"
] |
ALM-AHME/swinv2-large-patch4-window12to16-192to256-22kto1k-ft-finetuned-BreastCancer-BreakHis-AH-Shuff-3
|
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# swinv2-large-patch4-window12to16-192to256-22kto1k-ft-finetuned-BreastCancer-BreakHis-AH-Shuff-3
This model is a fine-tuned version of [microsoft/swinv2-large-patch4-window12to16-192to256-22kto1k-ft](https://huggingface.co/microsoft/swinv2-large-patch4-window12to16-192to256-22kto1k-ft) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0161
- Accuracy: 0.9972
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 5e-05
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 32
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.5
- num_epochs: 12
### Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 0.2598 | 1.0 | 199 | 0.1445 | 0.9416 |
| 0.194 | 2.0 | 398 | 0.1121 | 0.9524 |
| 0.0967 | 3.0 | 597 | 0.0504 | 0.9826 |
| 0.0809 | 4.0 | 796 | 0.1604 | 0.9449 |
| 0.1531 | 5.0 | 995 | 0.0673 | 0.9807 |
| 0.0941 | 6.0 | 1194 | 0.0866 | 0.9680 |
| 0.1157 | 7.0 | 1393 | 0.0525 | 0.9844 |
| 0.0684 | 8.0 | 1592 | 0.1004 | 0.9760 |
| 0.0141 | 9.0 | 1791 | 0.0521 | 0.9873 |
| 0.038 | 10.0 | 1990 | 0.0293 | 0.9934 |
| 0.0044 | 11.0 | 2189 | 0.0161 | 0.9972 |
| 0.0006 | 12.0 | 2388 | 0.0197 | 0.9967 |
### Framework versions
- Transformers 4.32.0
- Pytorch 2.0.1+cu118
- Datasets 2.14.4
- Tokenizers 0.13.3
|
[
"benign",
"malignant"
] |
ALM-AHME/convnextv2-large-1k-224-finetuned-BreastCancer-Classification-BreakHis-AH-60-20-20-Shuffled-3rd
|
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# convnextv2-large-1k-224-finetuned-BreastCancer-Classification-BreakHis-AH-60-20-20-Shuffled-3rd
This model is a fine-tuned version of [facebook/convnextv2-large-1k-224](https://huggingface.co/facebook/convnextv2-large-1k-224) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0543
- Accuracy: 0.9873
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 5e-05
- train_batch_size: 16
- eval_batch_size: 16
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 32
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.9
- num_epochs: 14
### Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 0.5284 | 1.0 | 199 | 0.5013 | 0.9095 |
| 0.2084 | 2.0 | 398 | 0.2076 | 0.9524 |
| 0.1274 | 3.0 | 597 | 0.1459 | 0.9566 |
| 0.1618 | 4.0 | 796 | 0.1534 | 0.9383 |
| 0.2118 | 5.0 | 995 | 0.0877 | 0.9727 |
| 0.0306 | 6.0 | 1194 | 0.1048 | 0.9656 |
| 0.1012 | 7.0 | 1393 | 0.0674 | 0.9755 |
| 0.2079 | 8.0 | 1592 | 0.0662 | 0.9731 |
| 0.087 | 9.0 | 1791 | 0.1183 | 0.9458 |
| 0.1543 | 10.0 | 1990 | 0.0605 | 0.9840 |
| 0.0788 | 11.0 | 2189 | 0.0557 | 0.9868 |
| 0.0604 | 12.0 | 2388 | 0.0461 | 0.9868 |
| 0.0306 | 13.0 | 2587 | 0.0476 | 0.9854 |
| 0.0365 | 14.0 | 2786 | 0.0543 | 0.9873 |
### Framework versions
- Transformers 4.32.0
- Pytorch 2.0.1+cu118
- Datasets 2.14.4
- Tokenizers 0.13.3
|
[
"benign",
"malignant"
] |
byc3230/swin-tiny-patch4-window7-224-finetuned-aiornot-step
|
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# swin-tiny-patch4-window7-224-finetuned-aiornot-step
This model is a fine-tuned version of [microsoft/swin-tiny-patch4-window7-224](https://huggingface.co/microsoft/swin-tiny-patch4-window7-224) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.1075
- Accuracy: 0.9613
- F1: 0.9606
- Log Loss: 1.3937
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 0.0001
- train_batch_size: 64
- eval_batch_size: 64
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 256
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.1
- lr_scheduler_warmup_steps: 10
- num_epochs: 3
### Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 | Log Loss |
|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|:--------:|
| 0.5919 | 0.17 | 10 | 0.3100 | 0.8722 | 0.8663 | 4.6071 |
| 0.3175 | 0.34 | 20 | 0.2757 | 0.8861 | 0.8793 | 4.1038 |
| 0.2445 | 0.52 | 30 | 0.2021 | 0.9130 | 0.9092 | 3.1359 |
| 0.2117 | 0.69 | 40 | 0.1510 | 0.9377 | 0.9360 | 2.2455 |
| 0.2062 | 0.86 | 50 | 0.1535 | 0.9334 | 0.9311 | 2.4003 |
| 0.1815 | 1.03 | 60 | 0.1493 | 0.9382 | 0.9361 | 2.2261 |
| 0.1458 | 1.2 | 70 | 0.2196 | 0.9135 | 0.9089 | 3.1166 |
| 0.1507 | 1.37 | 80 | 0.1826 | 0.9243 | 0.9207 | 2.7294 |
| 0.1389 | 1.55 | 90 | 0.1396 | 0.9377 | 0.9356 | 2.2455 |
| 0.1331 | 1.72 | 100 | 0.2182 | 0.9125 | 0.9077 | 3.1553 |
| 0.1458 | 1.89 | 110 | 0.2661 | 0.9033 | 0.8978 | 3.4843 |
| 0.147 | 2.06 | 120 | 0.1068 | 0.9597 | 0.9588 | 1.4518 |
| 0.119 | 2.23 | 130 | 0.1284 | 0.9501 | 0.9484 | 1.8002 |
| 0.1045 | 2.4 | 140 | 0.1802 | 0.9291 | 0.9259 | 2.5552 |
| 0.1115 | 2.58 | 150 | 0.1434 | 0.9441 | 0.9420 | 2.0132 |
| 0.1108 | 2.75 | 160 | 0.1365 | 0.9441 | 0.9421 | 2.0132 |
| 0.1044 | 2.92 | 170 | 0.1488 | 0.9398 | 0.9375 | 2.1680 |
### Framework versions
- Transformers 4.30.2
- Pytorch 2.0.0
- Datasets 2.14.4
- Tokenizers 0.13.3
|
[
"no_ai",
"ai"
] |
lu5/swinv2-tiny-patch4-window8-256-finetuned-eurosat
|
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# swinv2-tiny-patch4-window8-256-finetuned-eurosat
This model is a fine-tuned version of [microsoft/swinv2-tiny-patch4-window8-256](https://huggingface.co/microsoft/swinv2-tiny-patch4-window8-256) on the food101 dataset.
It achieves the following results on the evaluation set:
- Loss: 0.3997
- Accuracy: 0.8859
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 5e-05
- train_batch_size: 32
- eval_batch_size: 32
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 128
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 10
### Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 1.8552 | 1.0 | 592 | 1.1245 | 0.6955 |
| 1.2938 | 2.0 | 1184 | 0.6712 | 0.8131 |
| 1.2294 | 3.0 | 1776 | 0.5354 | 0.8492 |
| 1.0199 | 4.0 | 2368 | 0.4958 | 0.8594 |
| 0.9914 | 5.0 | 2960 | 0.4633 | 0.8678 |
| 0.8786 | 6.0 | 3552 | 0.4390 | 0.8750 |
| 0.806 | 7.0 | 4144 | 0.4206 | 0.8791 |
| 0.7506 | 8.0 | 4736 | 0.4093 | 0.8832 |
| 0.7433 | 9.0 | 5328 | 0.4053 | 0.8841 |
| 0.6393 | 10.0 | 5920 | 0.3997 | 0.8859 |
### Framework versions
- Transformers 4.32.0
- Pytorch 2.0.1+cu118
- Datasets 2.14.4
- Tokenizers 0.13.3
|
[
"apple_pie",
"baby_back_ribs",
"baklava",
"beef_carpaccio",
"beef_tartare",
"beet_salad",
"beignets",
"bibimbap",
"bread_pudding",
"breakfast_burrito",
"bruschetta",
"caesar_salad",
"cannoli",
"caprese_salad",
"carrot_cake",
"ceviche",
"cheesecake",
"cheese_plate",
"chicken_curry",
"chicken_quesadilla",
"chicken_wings",
"chocolate_cake",
"chocolate_mousse",
"churros",
"clam_chowder",
"club_sandwich",
"crab_cakes",
"creme_brulee",
"croque_madame",
"cup_cakes",
"deviled_eggs",
"donuts",
"dumplings",
"edamame",
"eggs_benedict",
"escargots",
"falafel",
"filet_mignon",
"fish_and_chips",
"foie_gras",
"french_fries",
"french_onion_soup",
"french_toast",
"fried_calamari",
"fried_rice",
"frozen_yogurt",
"garlic_bread",
"gnocchi",
"greek_salad",
"grilled_cheese_sandwich",
"grilled_salmon",
"guacamole",
"gyoza",
"hamburger",
"hot_and_sour_soup",
"hot_dog",
"huevos_rancheros",
"hummus",
"ice_cream",
"lasagna",
"lobster_bisque",
"lobster_roll_sandwich",
"macaroni_and_cheese",
"macarons",
"miso_soup",
"mussels",
"nachos",
"omelette",
"onion_rings",
"oysters",
"pad_thai",
"paella",
"pancakes",
"panna_cotta",
"peking_duck",
"pho",
"pizza",
"pork_chop",
"poutine",
"prime_rib",
"pulled_pork_sandwich",
"ramen",
"ravioli",
"red_velvet_cake",
"risotto",
"samosa",
"sashimi",
"scallops",
"seaweed_salad",
"shrimp_and_grits",
"spaghetti_bolognese",
"spaghetti_carbonara",
"spring_rolls",
"steak",
"strawberry_shortcake",
"sushi",
"tacos",
"takoyaki",
"tiramisu",
"tuna_tartare",
"waffles"
] |
ALM-AHME/beit-large-patch16-224-finetuned-BreastCancer-Classification-BreakHis-AH-60-20-20-Shuffled-3rd
|
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# beit-large-patch16-224-finetuned-BreastCancer-Classification-BreakHis-AH-60-20-20-Shuffled-3rd
This model is a fine-tuned version of [microsoft/beit-large-patch16-224](https://huggingface.co/microsoft/beit-large-patch16-224) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0298
- Accuracy: 0.9934
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 5e-06
- train_batch_size: 16
- eval_batch_size: 16
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 32
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.9
- num_epochs: 15
### Training results
| Training Loss | Epoch | Step | Accuracy | Validation Loss |
|:-------------:|:-----:|:----:|:--------:|:---------------:|
| 0.5462 | 1.0 | 199 | 0.7931 | 0.4728 |
| 0.2496 | 2.0 | 398 | 0.9185 | 0.2074 |
| 0.2173 | 3.0 | 597 | 0.9486 | 0.1305 |
| 0.1009 | 4.0 | 796 | 0.9623 | 0.0964 |
| 0.1528 | 5.0 | 995 | 0.9717 | 0.0662 |
| 0.0893 | 6.0 | 1194 | 0.9774 | 0.0549 |
| 0.0786 | 7.0 | 1393 | 0.9802 | 0.0505 |
| 0.0254 | 8.0 | 1592 | 0.0643 | 0.9783 |
| 0.1112 | 9.0 | 1791 | 0.0311 | 0.9915 |
| 0.0428 | 10.0 | 1990 | 0.0484 | 0.9802 |
| 0.0842 | 11.0 | 2189 | 0.0482 | 0.9863 |
| 0.0129 | 12.0 | 2388 | 0.0372 | 0.9896 |
| 0.1463 | 13.0 | 2587 | 0.0404 | 0.9882 |
| 0.0582 | 14.0 | 2786 | 0.0589 | 0.9821 |
| 0.0063 | 15.0 | 2985 | 0.0298 | 0.9934 |
### Framework versions
- Transformers 4.32.0
- Pytorch 2.0.1+cu118
- Datasets 2.14.4
- Tokenizers 0.13.3
|
[
"benign",
"malignant"
] |
PivotOrDie/vit-base-patch16-224-finetuned-flower
|
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# vit-base-patch16-224-finetuned-flower
This model is a fine-tuned version of [google/vit-base-patch16-224](https://huggingface.co/google/vit-base-patch16-224) on the imagefolder dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 5e-05
- train_batch_size: 32
- eval_batch_size: 32
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 5
### Training results
### Framework versions
- Transformers 4.24.0
- Pytorch 2.0.1+cu118
- Datasets 2.7.1
- Tokenizers 0.13.3
|
[
"daisy",
"dandelion",
"roses",
"sunflowers",
"tulips"
] |
ulichovick/vit_model
|
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# vit_model
This model is a fine-tuned version of [google/vit-base-patch16-224-in21k](https://huggingface.co/google/vit-base-patch16-224-in21k) on the beans dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0376
- Accuracy: 0.9850
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 0.0002
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 4
### Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 0.1383 | 3.85 | 500 | 0.0376 | 0.9850 |
### Framework versions
- Transformers 4.30.2
- Pytorch 2.0.1+cu118
- Datasets 2.14.4
- Tokenizers 0.13.3
|
[
"angular_leaf_spot",
"bean_rust",
"healthy"
] |
lu5/swinv2-small-patch4-window8-256-finetuned-eurosat
|
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# swinv2-small-patch4-window8-256-finetuned-eurosat
This model is a fine-tuned version of [microsoft/swinv2-small-patch4-window8-256](https://huggingface.co/microsoft/swinv2-small-patch4-window8-256) on the food101 dataset.
It achieves the following results on the evaluation set:
- Loss: 0.4063
- Accuracy: 0.8847
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 5e-05
- train_batch_size: 32
- eval_batch_size: 32
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 128
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 3
### Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 1.3521 | 1.0 | 592 | 0.7233 | 0.7967 |
| 0.9887 | 2.0 | 1184 | 0.5211 | 0.8519 |
| 0.845 | 3.0 | 1776 | 0.4063 | 0.8847 |
### Framework versions
- Transformers 4.32.1
- Pytorch 2.0.1+cu118
- Datasets 2.14.4
- Tokenizers 0.13.3
|
[
"apple_pie",
"baby_back_ribs",
"baklava",
"beef_carpaccio",
"beef_tartare",
"beet_salad",
"beignets",
"bibimbap",
"bread_pudding",
"breakfast_burrito",
"bruschetta",
"caesar_salad",
"cannoli",
"caprese_salad",
"carrot_cake",
"ceviche",
"cheesecake",
"cheese_plate",
"chicken_curry",
"chicken_quesadilla",
"chicken_wings",
"chocolate_cake",
"chocolate_mousse",
"churros",
"clam_chowder",
"club_sandwich",
"crab_cakes",
"creme_brulee",
"croque_madame",
"cup_cakes",
"deviled_eggs",
"donuts",
"dumplings",
"edamame",
"eggs_benedict",
"escargots",
"falafel",
"filet_mignon",
"fish_and_chips",
"foie_gras",
"french_fries",
"french_onion_soup",
"french_toast",
"fried_calamari",
"fried_rice",
"frozen_yogurt",
"garlic_bread",
"gnocchi",
"greek_salad",
"grilled_cheese_sandwich",
"grilled_salmon",
"guacamole",
"gyoza",
"hamburger",
"hot_and_sour_soup",
"hot_dog",
"huevos_rancheros",
"hummus",
"ice_cream",
"lasagna",
"lobster_bisque",
"lobster_roll_sandwich",
"macaroni_and_cheese",
"macarons",
"miso_soup",
"mussels",
"nachos",
"omelette",
"onion_rings",
"oysters",
"pad_thai",
"paella",
"pancakes",
"panna_cotta",
"peking_duck",
"pho",
"pizza",
"pork_chop",
"poutine",
"prime_rib",
"pulled_pork_sandwich",
"ramen",
"ravioli",
"red_velvet_cake",
"risotto",
"samosa",
"sashimi",
"scallops",
"seaweed_salad",
"shrimp_and_grits",
"spaghetti_bolognese",
"spaghetti_carbonara",
"spring_rolls",
"steak",
"strawberry_shortcake",
"sushi",
"tacos",
"takoyaki",
"tiramisu",
"tuna_tartare",
"waffles"
] |
fsuarez/autotrain-autotrain-simple-classifierv2-84935142669
|
# Model Description:
This model embodies a Vision Transformer (ViT) architecture tailored for image classification tasks. It's honed to accurately categorize
images into three specific classes: Button, RadioButton, and CheckBox.
# Training Data:
It's trained on a dataset comprising images from the three classes—Button, RadioButton, and CheckBox—enabling it to adeptly recognize and classify these distinct visual elements.
# Model Trained Using AutoTrain
- Problem type: Multi-class Classification
- Model ID: 84935142669
- CO2 Emissions (in grams): 1.0491
## Validation Metrics
- Loss: 0.111
- Accuracy: 0.969
- Macro F1: 0.935
- Micro F1: 0.969
- Weighted F1: 0.969
- Macro Precision: 0.934
- Micro Precision: 0.969
- Weighted Precision: 0.970
- Macro Recall: 0.939
- Micro Recall: 0.969
- Weighted Recall: 0.969
|
[
"button",
"checkbox",
"radiobutton"
] |
Tidzo/dit-base-rvlcdip-finetuned-grp-actual
|
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# dit-base-rvlcdip-finetuned-grp-actual
This model is a fine-tuned version of [microsoft/dit-base-finetuned-rvlcdip](https://huggingface.co/microsoft/dit-base-finetuned-rvlcdip) on the imagefolder dataset.
It achieves the following results on the evaluation set:
- Loss: 0.4601
- Accuracy: 0.9015
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 5e-05
- train_batch_size: 32
- eval_batch_size: 32
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 128
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 7
### Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 0.8692 | 0.96 | 18 | 0.6972 | 0.8561 |
| 0.7348 | 1.97 | 37 | 0.6350 | 0.8598 |
| 0.6655 | 2.99 | 56 | 0.5339 | 0.8712 |
| 0.7167 | 4.0 | 75 | 0.5046 | 0.8902 |
| 0.694 | 4.96 | 93 | 0.5026 | 0.8864 |
| 0.6638 | 5.97 | 112 | 0.4601 | 0.9015 |
| 0.6618 | 6.72 | 126 | 0.4582 | 0.8977 |
### Framework versions
- Transformers 4.32.0
- Pytorch 2.0.1+cu118
- Datasets 2.14.4
- Tokenizers 0.13.3
|
[
"carte_grise",
"carte_vitale",
"certification_habilitation",
"cv",
"justificatif_domicile",
"lm",
"permis_conduire",
"piece_identite",
"rib",
"titre_sejour",
"visite_medicale"
] |
sbruksha/autotrain-gracoproducts-85090142696
|
# Model Trained Using AutoTrain
- Problem type: Multi-class Classification
- Model ID: 85090142696
- CO2 Emissions (in grams): 1.2614
## Validation Metrics
- Loss: 0.099
- Accuracy: 0.939
- Macro F1: 0.846
- Micro F1: 0.939
- Weighted F1: 0.926
- Macro Precision: 0.946
- Micro Precision: 0.939
- Weighted Precision: 0.946
- Macro Recall: 0.833
- Micro Recall: 0.939
- Weighted Recall: 0.939
|
[
"carseat",
"highchair",
"other",
"stroller"
] |
JDAR1999/vit-model-Juandi
|
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# vit-model-Juandi
This model is a fine-tuned version of [google/vit-base-patch16-224-in21k](https://huggingface.co/google/vit-base-patch16-224-in21k) on the beans dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0083
- Accuracy: 1.0
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 0.0002
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 4
### Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 0.1355 | 3.85 | 500 | 0.0083 | 1.0 |
### Framework versions
- Transformers 4.29.0
- Pytorch 2.0.1+cu118
- Datasets 2.14.4
- Tokenizers 0.13.3
|
[
"angular_leaf_spot",
"bean_rust",
"healthy"
] |
mshuggingface/image-categories-2023-08-28-08-43-770487
|
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# image-categories-2023-08-28-08-43-770487
This model is a fine-tuned version of [google/vit-base-patch16-224-in21k](https://huggingface.co/google/vit-base-patch16-224-in21k) on the imagefolder dataset.
It achieves the following results on the evaluation set:
- Loss: 0.9626
- Accuracy: 0.6765
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 0.0002
- train_batch_size: 16
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 1
### Training results
### Framework versions
- Transformers 4.32.0
- Pytorch 2.0.1
- Datasets 2.14.4
- Tokenizers 0.13.3
|
[
"architectural",
"blurry",
"fashion",
"graphic_design",
"illustration_and_sketches",
"movie",
"photography"
] |
tea-cup/swin-tiny-patch4-window7-224-finetuned-eurosat
|
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# swin-tiny-patch4-window7-224-finetuned-eurosat
This model is a fine-tuned version of [microsoft/swin-tiny-patch4-window7-224](https://huggingface.co/microsoft/swin-tiny-patch4-window7-224) on the imagefolder dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0519
- Accuracy: 0.9835
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 5e-05
- train_batch_size: 32
- eval_batch_size: 32
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 128
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 3
### Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 0.2611 | 1.0 | 132 | 0.0752 | 0.9751 |
| 0.1302 | 2.0 | 265 | 0.0609 | 0.9809 |
| 0.1486 | 2.99 | 396 | 0.0519 | 0.9835 |
### Framework versions
- Transformers 4.32.1
- Pytorch 2.0.1+cu118
- Datasets 2.14.4
- Tokenizers 0.13.3
|
[
"annualcrop",
"forest",
"herbaceousvegetation",
"highway",
"industrial",
"pasture",
"residential",
"river"
] |
sbaner24/vit-base-patch16-224-Trial007-008-YEL_STEM
|
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# vit-base-patch16-224-Trial007-008-YEL_STEM
This model is a fine-tuned version of [google/vit-base-patch16-224](https://huggingface.co/google/vit-base-patch16-224) on the imagefolder dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0544
- Accuracy: 0.9872
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 5e-05
- train_batch_size: 60
- eval_batch_size: 60
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 240
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 50
### Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 0.7518 | 1.0 | 3 | 0.7841 | 0.4231 |
| 0.6744 | 2.0 | 6 | 0.6798 | 0.6154 |
| 0.5724 | 3.0 | 9 | 0.5060 | 0.7949 |
| 0.4443 | 4.0 | 12 | 0.4107 | 0.8462 |
| 0.4108 | 5.0 | 15 | 0.2686 | 0.9103 |
| 0.3192 | 6.0 | 18 | 0.1890 | 0.9231 |
| 0.2776 | 7.0 | 21 | 0.2280 | 0.8974 |
| 0.2738 | 8.0 | 24 | 0.0880 | 0.9487 |
| 0.2878 | 9.0 | 27 | 0.1754 | 0.9231 |
| 0.2974 | 10.0 | 30 | 0.0761 | 0.9744 |
| 0.2261 | 11.0 | 33 | 0.1195 | 0.9359 |
| 0.2443 | 12.0 | 36 | 0.0544 | 0.9872 |
| 0.2232 | 13.0 | 39 | 0.1409 | 0.9359 |
| 0.2066 | 14.0 | 42 | 0.0429 | 0.9872 |
| 0.2199 | 15.0 | 45 | 0.2464 | 0.8974 |
| 0.1938 | 16.0 | 48 | 0.0417 | 0.9872 |
| 0.199 | 17.0 | 51 | 0.0372 | 0.9872 |
| 0.2295 | 18.0 | 54 | 0.1006 | 0.9487 |
| 0.2323 | 19.0 | 57 | 0.0421 | 0.9872 |
| 0.2151 | 20.0 | 60 | 0.0463 | 0.9744 |
| 0.1702 | 21.0 | 63 | 0.1073 | 0.9487 |
| 0.1716 | 22.0 | 66 | 0.0337 | 0.9872 |
| 0.1859 | 23.0 | 69 | 0.0331 | 0.9872 |
| 0.2446 | 24.0 | 72 | 0.1184 | 0.9487 |
| 0.1794 | 25.0 | 75 | 0.0543 | 0.9744 |
| 0.1634 | 26.0 | 78 | 0.0310 | 0.9872 |
| 0.2456 | 27.0 | 81 | 0.0851 | 0.9615 |
| 0.1766 | 28.0 | 84 | 0.1577 | 0.9231 |
| 0.2139 | 29.0 | 87 | 0.0311 | 0.9872 |
| 0.1745 | 30.0 | 90 | 0.0300 | 0.9872 |
| 0.2111 | 31.0 | 93 | 0.0612 | 0.9615 |
| 0.1557 | 32.0 | 96 | 0.1366 | 0.9487 |
| 0.2181 | 33.0 | 99 | 0.0396 | 0.9872 |
| 0.2138 | 34.0 | 102 | 0.0322 | 0.9872 |
| 0.2423 | 35.0 | 105 | 0.0355 | 0.9872 |
| 0.2077 | 36.0 | 108 | 0.0401 | 0.9872 |
| 0.1993 | 37.0 | 111 | 0.0330 | 0.9872 |
| 0.1896 | 38.0 | 114 | 0.0352 | 0.9872 |
| 0.1998 | 39.0 | 117 | 0.0433 | 0.9872 |
| 0.2008 | 40.0 | 120 | 0.0391 | 0.9872 |
| 0.1624 | 41.0 | 123 | 0.0402 | 0.9872 |
| 0.1781 | 42.0 | 126 | 0.0355 | 0.9872 |
| 0.2293 | 43.0 | 129 | 0.0294 | 0.9872 |
| 0.174 | 44.0 | 132 | 0.0286 | 0.9872 |
| 0.1922 | 45.0 | 135 | 0.0292 | 0.9872 |
| 0.1639 | 46.0 | 138 | 0.0293 | 0.9872 |
| 0.2198 | 47.0 | 141 | 0.0286 | 0.9872 |
| 0.2052 | 48.0 | 144 | 0.0297 | 0.9872 |
| 0.2021 | 49.0 | 147 | 0.0324 | 0.9872 |
| 0.1954 | 50.0 | 150 | 0.0337 | 0.9872 |
### Framework versions
- Transformers 4.30.0.dev0
- Pytorch 1.12.1
- Datasets 2.12.0
- Tokenizers 0.13.1
|
[
"plant2",
"plant3"
] |
platzi/platzi_vit_model-joselier
|
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# platzi_vit_model-joselier
This model is a fine-tuned version of [google/vit-base-patch16-224-in21k](https://huggingface.co/google/vit-base-patch16-224-in21k) on the beans dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0112
- Accuracy: 1.0
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 0.0002
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 4
### Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 0.1218 | 3.85 | 500 | 0.0112 | 1.0 |
### Framework versions
- Transformers 4.32.1
- Pytorch 2.0.1+cu118
- Datasets 2.14.4
- Tokenizers 0.13.3
|
[
"angular_leaf_spot",
"bean_rust",
"healthy"
] |
touchtech/fashion-images-pack-types
|
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# fashion-images-pack-types
This model is a fine-tuned version of [google/vit-base-patch16-224-in21k](https://huggingface.co/google/vit-base-patch16-224-in21k) on the touchtech/fashion-images-pack-types dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0395
- Accuracy: 0.9915
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 2e-05
- train_batch_size: 8
- eval_batch_size: 8
- seed: 1337
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 5.0
### Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 0.2045 | 1.0 | 1676 | 0.1156 | 0.9734 |
| 0.1241 | 2.0 | 3352 | 0.0775 | 0.9810 |
| 0.1048 | 3.0 | 5028 | 0.0551 | 0.9873 |
| 0.0675 | 4.0 | 6704 | 0.0395 | 0.9915 |
| 0.0609 | 5.0 | 8380 | 0.0398 | 0.9911 |
### Framework versions
- Transformers 4.33.0.dev0
- Pytorch 2.0.1+cu118
- Datasets 2.14.4
- Tokenizers 0.13.3
|
[
"model",
"pack-accessory",
"pack-bottom-l0",
"pack-bottom-l1",
"pack-one-piece-l1",
"pack-shoes",
"pack-top-l1",
"pack-top-l2",
"pack-top-l3"
] |
sbaner24/vit-base-patch16-224-Trial007-008-YEL_STEM1
|
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# vit-base-patch16-224-Trial007-008-YEL_STEM1
This model is a fine-tuned version of [google/vit-base-patch16-224](https://huggingface.co/google/vit-base-patch16-224) on the imagefolder dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0456
- Accuracy: 1.0
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 5e-05
- train_batch_size: 60
- eval_batch_size: 60
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 240
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 50
### Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 0.7332 | 1.0 | 3 | 0.6494 | 0.6026 |
| 0.6264 | 2.0 | 6 | 0.5840 | 0.6667 |
| 0.5628 | 3.0 | 9 | 0.4136 | 0.8974 |
| 0.4492 | 4.0 | 12 | 0.3312 | 0.8846 |
| 0.3883 | 5.0 | 15 | 0.2472 | 0.9487 |
| 0.2958 | 6.0 | 18 | 0.2020 | 0.9359 |
| 0.2385 | 7.0 | 21 | 0.1272 | 0.9872 |
| 0.2359 | 8.0 | 24 | 0.1009 | 0.9872 |
| 0.2642 | 9.0 | 27 | 0.0896 | 0.9872 |
| 0.1856 | 10.0 | 30 | 0.0456 | 1.0 |
| 0.2115 | 11.0 | 33 | 0.0447 | 1.0 |
| 0.2067 | 12.0 | 36 | 0.0467 | 1.0 |
| 0.2059 | 13.0 | 39 | 0.0448 | 1.0 |
| 0.2108 | 14.0 | 42 | 0.0611 | 1.0 |
| 0.173 | 15.0 | 45 | 0.0410 | 1.0 |
| 0.2053 | 16.0 | 48 | 0.0445 | 1.0 |
| 0.1619 | 17.0 | 51 | 0.0521 | 1.0 |
| 0.2343 | 18.0 | 54 | 0.0318 | 1.0 |
| 0.2097 | 19.0 | 57 | 0.0438 | 1.0 |
| 0.1832 | 20.0 | 60 | 0.0538 | 1.0 |
| 0.1687 | 21.0 | 63 | 0.0375 | 1.0 |
| 0.145 | 22.0 | 66 | 0.0340 | 1.0 |
| 0.1398 | 23.0 | 69 | 0.0394 | 1.0 |
| 0.1898 | 24.0 | 72 | 0.0450 | 1.0 |
| 0.194 | 25.0 | 75 | 0.0515 | 1.0 |
| 0.1884 | 26.0 | 78 | 0.0494 | 1.0 |
| 0.1733 | 27.0 | 81 | 0.0374 | 1.0 |
| 0.1465 | 28.0 | 84 | 0.0385 | 1.0 |
| 0.156 | 29.0 | 87 | 0.0419 | 1.0 |
| 0.1929 | 30.0 | 90 | 0.0522 | 1.0 |
| 0.1189 | 31.0 | 93 | 0.0406 | 1.0 |
| 0.1605 | 32.0 | 96 | 0.0325 | 1.0 |
| 0.1543 | 33.0 | 99 | 0.0336 | 1.0 |
| 0.175 | 34.0 | 102 | 0.0456 | 1.0 |
| 0.1542 | 35.0 | 105 | 0.0547 | 1.0 |
| 0.1957 | 36.0 | 108 | 0.0529 | 1.0 |
| 0.1671 | 37.0 | 111 | 0.0453 | 1.0 |
| 0.1826 | 38.0 | 114 | 0.0388 | 1.0 |
| 0.1804 | 39.0 | 117 | 0.0391 | 1.0 |
| 0.1346 | 40.0 | 120 | 0.0390 | 1.0 |
| 0.1684 | 41.0 | 123 | 0.0400 | 1.0 |
| 0.143 | 42.0 | 126 | 0.0418 | 1.0 |
| 0.1588 | 43.0 | 129 | 0.0415 | 1.0 |
| 0.1403 | 44.0 | 132 | 0.0425 | 1.0 |
| 0.194 | 45.0 | 135 | 0.0422 | 1.0 |
| 0.1139 | 46.0 | 138 | 0.0421 | 1.0 |
| 0.1788 | 47.0 | 141 | 0.0419 | 1.0 |
| 0.1531 | 48.0 | 144 | 0.0416 | 1.0 |
| 0.187 | 49.0 | 147 | 0.0417 | 1.0 |
| 0.1564 | 50.0 | 150 | 0.0416 | 1.0 |
### Framework versions
- Transformers 4.30.0.dev0
- Pytorch 1.12.1
- Datasets 2.12.0
- Tokenizers 0.13.1
|
[
"plant2",
"plant3"
] |
Prot10/swin-tiny-patch4-window7-224-finetuned-swin-pre_evaluation
|
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# swin-tiny-patch4-window7-224-finetuned-swin-pre_evaluation
This model is a fine-tuned version of [microsoft/swin-tiny-patch4-window7-224](https://huggingface.co/microsoft/swin-tiny-patch4-window7-224) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 1.5048
- Accuracy: 0.3193
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 5e-05
- train_batch_size: 32
- eval_batch_size: 32
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 128
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 3
### Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 1.5873 | 0.93 | 10 | 1.5200 | 0.2844 |
| 1.5036 | 1.95 | 21 | 1.5082 | 0.3124 |
| 1.4965 | 2.79 | 30 | 1.5048 | 0.3193 |
### Framework versions
- Transformers 4.32.1
- Pytorch 2.0.1+cu118
- Datasets 2.14.4
- Tokenizers 0.13.3
|
[
"0_soft",
"1_semi_medium",
"2_medium",
"3_semi_hard",
"4_hard"
] |
amiqinayat/swin-tiny-patch4-window7-224-finetuned-vit
|
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# swin-tiny-patch4-window7-224-finetuned-vit
This model is a fine-tuned version of [microsoft/swin-tiny-patch4-window7-224](https://huggingface.co/microsoft/swin-tiny-patch4-window7-224) on the imagefolder dataset.
It achieves the following results on the evaluation set:
- Loss: 0.5493
- Crack: {'precision': 0.5735294117647058, 'recall': 0.6964285714285714, 'f1-score': 0.6290322580645161, 'support': 56}
- Environment - ground: {'precision': 0.9722222222222222, 'recall': 0.9722222222222222, 'f1-score': 0.9722222222222222, 'support': 36}
- Environment - other: {'precision': 0.8913043478260869, 'recall': 0.9318181818181818, 'f1-score': 0.9111111111111111, 'support': 44}
- Environment - sky: {'precision': 0.8974358974358975, 'recall': 0.9722222222222222, 'f1-score': 0.9333333333333333, 'support': 36}
- Environment - vegetation: {'precision': 0.9622641509433962, 'recall': 0.9622641509433962, 'f1-score': 0.9622641509433962, 'support': 53}
- Joint defect: {'precision': 0.6470588235294118, 'recall': 0.7857142857142857, 'f1-score': 0.7096774193548386, 'support': 28}
- Loss of section: {'precision': 0.0, 'recall': 0.0, 'f1-score': 0.0, 'support': 3}
- Spalling: {'precision': 0.5161290322580645, 'recall': 0.41025641025641024, 'f1-score': 0.4571428571428572, 'support': 39}
- Vegetation: {'precision': 0.8387096774193549, 'recall': 0.8813559322033898, 'f1-score': 0.859504132231405, 'support': 59}
- Wall - grafitti: {'precision': 0.96, 'recall': 0.96, 'f1-score': 0.96, 'support': 25}
- Wall - normal: {'precision': 0.7575757575757576, 'recall': 0.625, 'f1-score': 0.6849315068493151, 'support': 40}
- Wall - other: {'precision': 0.8888888888888888, 'recall': 0.8333333333333334, 'f1-score': 0.8602150537634408, 'support': 48}
- Wall - stain: {'precision': 0.84, 'recall': 0.7636363636363637, 'f1-score': 0.8000000000000002, 'support': 55}
- Accuracy: 0.8084
- Macro avg: {'precision': 0.7496244776818297, 'recall': 0.753403974906029, 'f1-score': 0.7491872342320336, 'support': 522}
- Weighted avg: {'precision': 0.805637888745576, 'recall': 0.8084291187739464, 'f1-score': 0.8046217646882747, 'support': 522}
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 5e-05
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 32
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 3
### Training results
| Training Loss | Epoch | Step | Validation Loss | Crack | Environment - ground | Environment - other | Environment - sky | Environment - vegetation | Joint defect | Loss of section | Spalling | Vegetation | Wall - grafitti | Wall - normal | Wall - other | Wall - stain | Accuracy | Macro avg | Weighted avg |
|:-------------:|:-----:|:----:|:---------------:|:--------------------------------------------------------------------------------------------------------------:|:--------------------------------------------------------------------------------------------------------------:|:--------------------------------------------------------------------------------------------------------------:|:--------------------------------------------------------------------------------------------------------------:|:--------------------------------------------------------------------------------------------------------------:|:--------------------------------------------------------------------------------------------------------------:|:----------------------------------------------------------------:|:---------------------------------------------------------------------------------------------------------------:|:--------------------------------------------------------------------------------------------------------------:|:------------------------------------------------------------------------------------------------:|:-------------------------------------------------------------------------------------------------:|:--------------------------------------------------------------------------------------------------------------:|:--------------------------------------------------------------------------------------------------------------:|:--------:|:---------------------------------------------------------------------------------------------------------------:|:---------------------------------------------------------------------------------------------------------------:|
| 0.8877 | 0.99 | 146 | 0.8076 | {'precision': 0.5294117647058824, 'recall': 0.6428571428571429, 'f1-score': 0.5806451612903226, 'support': 56} | {'precision': 0.9459459459459459, 'recall': 0.9722222222222222, 'f1-score': 0.9589041095890412, 'support': 36} | {'precision': 0.7916666666666666, 'recall': 0.8636363636363636, 'f1-score': 0.8260869565217391, 'support': 44} | {'precision': 0.8780487804878049, 'recall': 1.0, 'f1-score': 0.9350649350649352, 'support': 36} | {'precision': 0.9807692307692307, 'recall': 0.9622641509433962, 'f1-score': 0.9714285714285713, 'support': 53} | {'precision': 0.7037037037037037, 'recall': 0.6785714285714286, 'f1-score': 0.6909090909090909, 'support': 28} | {'precision': 0.0, 'recall': 0.0, 'f1-score': 0.0, 'support': 3} | {'precision': 0.5588235294117647, 'recall': 0.48717948717948717, 'f1-score': 0.5205479452054794, 'support': 39} | {'precision': 0.6625, 'recall': 0.8983050847457628, 'f1-score': 0.762589928057554, 'support': 59} | {'precision': 0.7666666666666667, 'recall': 0.92, 'f1-score': 0.8363636363636363, 'support': 25} | {'precision': 0.9411764705882353, 'recall': 0.4, 'f1-score': 0.5614035087719298, 'support': 40} | {'precision': 0.8780487804878049, 'recall': 0.75, 'f1-score': 0.8089887640449439, 'support': 48} | {'precision': 0.7659574468085106, 'recall': 0.6545454545454545, 'f1-score': 0.7058823529411765, 'support': 55} | 0.7625 | {'precision': 0.7232860758647859, 'recall': 0.7099677949770199, 'f1-score': 0.7045242277068015, 'support': 522} | {'precision': 0.7735594241725829, 'recall': 0.7624521072796935, 'f1-score': 0.7551578669008161, 'support': 522} |
| 0.8113 | 2.0 | 293 | 0.6101 | {'precision': 0.5555555555555556, 'recall': 0.7142857142857143, 'f1-score': 0.6250000000000001, 'support': 56} | {'precision': 0.9714285714285714, 'recall': 0.9444444444444444, 'f1-score': 0.9577464788732395, 'support': 36} | {'precision': 0.8888888888888888, 'recall': 0.9090909090909091, 'f1-score': 0.8988764044943819, 'support': 44} | {'precision': 0.8974358974358975, 'recall': 0.9722222222222222, 'f1-score': 0.9333333333333333, 'support': 36} | {'precision': 0.9622641509433962, 'recall': 0.9622641509433962, 'f1-score': 0.9622641509433962, 'support': 53} | {'precision': 0.7857142857142857, 'recall': 0.7857142857142857, 'f1-score': 0.7857142857142857, 'support': 28} | {'precision': 0.0, 'recall': 0.0, 'f1-score': 0.0, 'support': 3} | {'precision': 0.4117647058823529, 'recall': 0.5384615384615384, 'f1-score': 0.4666666666666667, 'support': 39} | {'precision': 0.8153846153846154, 'recall': 0.8983050847457628, 'f1-score': 0.8548387096774194, 'support': 59} | {'precision': 0.7741935483870968, 'recall': 0.96, 'f1-score': 0.8571428571428571, 'support': 25} | {'precision': 0.75, 'recall': 0.45, 'f1-score': 0.5625000000000001, 'support': 40} | {'precision': 0.9024390243902439, 'recall': 0.7708333333333334, 'f1-score': 0.8314606741573034, 'support': 48} | {'precision': 0.8157894736842105, 'recall': 0.5636363636363636, 'f1-score': 0.6666666666666666, 'support': 55} | 0.7778 | {'precision': 0.7331429782842396, 'recall': 0.7284044651444593, 'f1-score': 0.7232469405899653, 'support': 522} | {'precision': 0.7896708656541912, 'recall': 0.7777777777777778, 'f1-score': 0.7754219719596664, 'support': 522} |
| 0.6069 | 2.98 | 438 | 0.5493 | {'precision': 0.5735294117647058, 'recall': 0.6964285714285714, 'f1-score': 0.6290322580645161, 'support': 56} | {'precision': 0.9722222222222222, 'recall': 0.9722222222222222, 'f1-score': 0.9722222222222222, 'support': 36} | {'precision': 0.8913043478260869, 'recall': 0.9318181818181818, 'f1-score': 0.9111111111111111, 'support': 44} | {'precision': 0.8974358974358975, 'recall': 0.9722222222222222, 'f1-score': 0.9333333333333333, 'support': 36} | {'precision': 0.9622641509433962, 'recall': 0.9622641509433962, 'f1-score': 0.9622641509433962, 'support': 53} | {'precision': 0.6470588235294118, 'recall': 0.7857142857142857, 'f1-score': 0.7096774193548386, 'support': 28} | {'precision': 0.0, 'recall': 0.0, 'f1-score': 0.0, 'support': 3} | {'precision': 0.5161290322580645, 'recall': 0.41025641025641024, 'f1-score': 0.4571428571428572, 'support': 39} | {'precision': 0.8387096774193549, 'recall': 0.8813559322033898, 'f1-score': 0.859504132231405, 'support': 59} | {'precision': 0.96, 'recall': 0.96, 'f1-score': 0.96, 'support': 25} | {'precision': 0.7575757575757576, 'recall': 0.625, 'f1-score': 0.6849315068493151, 'support': 40} | {'precision': 0.8888888888888888, 'recall': 0.8333333333333334, 'f1-score': 0.8602150537634408, 'support': 48} | {'precision': 0.84, 'recall': 0.7636363636363637, 'f1-score': 0.8000000000000002, 'support': 55} | 0.8084 | {'precision': 0.7496244776818297, 'recall': 0.753403974906029, 'f1-score': 0.7491872342320336, 'support': 522} | {'precision': 0.805637888745576, 'recall': 0.8084291187739464, 'f1-score': 0.8046217646882747, 'support': 522} |
### Framework versions
- Transformers 4.33.1
- Pytorch 2.0.1+cu118
- Datasets 2.14.5
- Tokenizers 0.13.3
|
[
"crack",
"environment - ground",
"environment - other",
"environment - sky",
"environment - vegetation",
"joint defect",
"loss of section",
"spalling",
"vegetation",
"wall - grafitti",
"wall - normal",
"wall - other",
"wall - stain"
] |
touchtech/fashion-images-gender-age
|
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# fashion-images-gender-age
This model is a fine-tuned version of [google/vit-base-patch16-224-in21k](https://huggingface.co/google/vit-base-patch16-224-in21k) on the touchtech/fashion-images-gender-age dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0244
- Accuracy: 0.9942
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 2e-05
- train_batch_size: 8
- eval_batch_size: 8
- seed: 1337
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 5.0
### Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:-----:|:---------------:|:--------:|
| 0.167 | 1.0 | 2422 | 0.0796 | 0.9781 |
| 0.1169 | 2.0 | 4844 | 0.0480 | 0.9883 |
| 0.0993 | 3.0 | 7266 | 0.0264 | 0.9936 |
| 0.0738 | 4.0 | 9688 | 0.0244 | 0.9942 |
| 0.0497 | 5.0 | 12110 | 0.0297 | 0.9921 |
### Framework versions
- Transformers 4.33.0.dev0
- Pytorch 2.0.1+cu118
- Datasets 2.14.4
- Tokenizers 0.13.3
|
[
"model-female-adult",
"model-female-child",
"model-male-adult",
"model-male-child",
"pack"
] |
dima806/brain_tumor_detection
|
See https://www.kaggle.com/code/dima806/brain-tumor-detection-example for details.
|
[
"no",
"yes"
] |
touchtech/fashion-images-perspectives
|
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# fashion-images-perspectives
This model is a fine-tuned version of [google/vit-base-patch16-224-in21k](https://huggingface.co/google/vit-base-patch16-224-in21k) on the touchtech/fashion-images-perspectives dataset.
It achieves the following results on the evaluation set:
- Loss: 0.2280
- Accuracy: 0.9269
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 2e-05
- train_batch_size: 8
- eval_batch_size: 8
- seed: 1337
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 5.0
### Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:-----:|:---------------:|:--------:|
| 0.5677 | 1.0 | 3042 | 0.3996 | 0.8838 |
| 0.4259 | 2.0 | 6084 | 0.3984 | 0.8747 |
| 0.3448 | 3.0 | 9126 | 0.2591 | 0.9190 |
| 0.3094 | 4.0 | 12168 | 0.2280 | 0.9269 |
| 0.2449 | 5.0 | 15210 | 0.2583 | 0.9229 |
### Framework versions
- Transformers 4.33.0.dev0
- Pytorch 2.0.1+cu118
- Datasets 2.14.4
- Tokenizers 0.13.3
|
[
"model-back-close",
"model-back-full",
"pack-detail",
"pack-front",
"pack-side",
"pack-top",
"model-detail",
"model-front-close",
"model-front-full",
"model-side-close",
"model-side-full",
"pack-angled",
"pack-back",
"pack-bottom"
] |
Prot10/vit-base-patch16-224-for-pre_evaluation
|
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# vit-base-patch16-224-for-pre_evaluation
This model is a fine-tuned version of [google/vit-base-patch16-224](https://huggingface.co/google/vit-base-patch16-224) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 1.6048
- Accuracy: 0.3929
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 5e-05
- train_batch_size: 32
- eval_batch_size: 32
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 128
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 30
### Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 1.5774 | 0.98 | 16 | 1.5109 | 0.3022 |
| 1.4794 | 1.97 | 32 | 1.4942 | 0.3242 |
| 1.4536 | 2.95 | 48 | 1.4943 | 0.3187 |
| 1.421 | 4.0 | 65 | 1.4247 | 0.3407 |
| 1.3882 | 4.98 | 81 | 1.4944 | 0.3462 |
| 1.3579 | 5.97 | 97 | 1.4180 | 0.3571 |
| 1.2838 | 6.95 | 113 | 1.4693 | 0.3681 |
| 1.2695 | 8.0 | 130 | 1.4359 | 0.3434 |
| 1.2016 | 8.98 | 146 | 1.4656 | 0.3599 |
| 1.2087 | 9.97 | 162 | 1.4550 | 0.3379 |
| 1.206 | 10.95 | 178 | 1.5056 | 0.3516 |
| 1.1236 | 12.0 | 195 | 1.5003 | 0.3434 |
| 1.0534 | 12.98 | 211 | 1.5193 | 0.3269 |
| 1.0024 | 13.97 | 227 | 1.4890 | 0.3681 |
| 0.9767 | 14.95 | 243 | 1.5628 | 0.3434 |
| 0.9201 | 16.0 | 260 | 1.6306 | 0.3516 |
| 0.9136 | 16.98 | 276 | 1.5715 | 0.3626 |
| 0.8566 | 17.97 | 292 | 1.5966 | 0.3654 |
| 0.8273 | 18.95 | 308 | 1.6048 | 0.3929 |
| 0.7825 | 20.0 | 325 | 1.6175 | 0.3846 |
| 0.736 | 20.98 | 341 | 1.6526 | 0.3929 |
| 0.7008 | 21.97 | 357 | 1.6563 | 0.3736 |
| 0.6714 | 22.95 | 373 | 1.7319 | 0.3901 |
| 0.7039 | 24.0 | 390 | 1.6866 | 0.3929 |
| 0.628 | 24.98 | 406 | 1.7023 | 0.3791 |
| 0.6182 | 25.97 | 422 | 1.7301 | 0.3901 |
| 0.5957 | 26.95 | 438 | 1.7157 | 0.3846 |
| 0.5973 | 28.0 | 455 | 1.7478 | 0.3709 |
| 0.5655 | 28.98 | 471 | 1.7377 | 0.3736 |
| 0.5631 | 29.54 | 480 | 1.7374 | 0.3736 |
### Framework versions
- Transformers 4.33.1
- Pytorch 2.0.1+cu118
- Datasets 2.14.5
- Tokenizers 0.13.3
|
[
"0_soft",
"1_semi_medium",
"2_medium",
"3_semi_hard",
"4_hard"
] |
Prot10/swin-tiny-patch4-window7-224-for-pre_evaluation
|
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# swin-tiny-patch4-window7-224-for-pre_evaluation
This model is a fine-tuned version of [microsoft/swin-tiny-patch4-window7-224](https://huggingface.co/microsoft/swin-tiny-patch4-window7-224) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 1.5062
- Accuracy: 0.3287
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 5e-05
- train_batch_size: 32
- eval_batch_size: 32
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 128
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 3
### Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 1.579 | 0.93 | 10 | 1.5190 | 0.3170 |
| 1.4951 | 1.95 | 21 | 1.5104 | 0.3124 |
| 1.4951 | 2.79 | 30 | 1.5062 | 0.3287 |
### Framework versions
- Transformers 4.32.1
- Pytorch 2.0.1+cu118
- Datasets 2.14.4
- Tokenizers 0.13.3
|
[
"0_soft",
"1_semi_medium",
"2_medium",
"3_semi_hard",
"4_hard"
] |
Prot10/convnextv2-tiny-1k-224-for-pre_evaluation
|
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# convnextv2-tiny-1k-224-for-pre_evaluation
This model is a fine-tuned version of [facebook/convnextv2-tiny-1k-224](https://huggingface.co/facebook/convnextv2-tiny-1k-224) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 1.5076
- Accuracy: 0.3263
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 5e-05
- train_batch_size: 32
- eval_batch_size: 32
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 128
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 3
### Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 1.5431 | 0.93 | 10 | 1.5140 | 0.3147 |
| 1.4792 | 1.95 | 21 | 1.5076 | 0.3263 |
| 1.4714 | 2.79 | 30 | 1.5027 | 0.3217 |
### Framework versions
- Transformers 4.32.1
- Pytorch 2.0.1+cu118
- Datasets 2.14.4
- Tokenizers 0.13.3
|
[
"0_soft",
"1_semi_medium",
"2_medium",
"3_semi_hard",
"4_hard"
] |
elenaThevalley/mobilenet_v2_1.0_224-finetuned-prueba
|
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# mobilenet_v2_1.0_224-finetuned-prueba
This model is a fine-tuned version of [google/mobilenet_v2_1.0_224](https://huggingface.co/google/mobilenet_v2_1.0_224) on the imagefolder dataset.
It achieves the following results on the evaluation set:
- Loss: 1.7052
- Accuracy: 0.2
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 5e-05
- train_batch_size: 32
- eval_batch_size: 32
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 128
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 3
### Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| No log | 1.0 | 1 | 1.7052 | 0.2 |
| No log | 2.0 | 2 | 1.6697 | 0.2 |
| No log | 3.0 | 3 | 1.6590 | 0.2 |
### Framework versions
- Transformers 4.32.1
- Pytorch 2.0.1+cu118
- Datasets 2.14.4
- Tokenizers 0.13.3
|
[
"drink",
"food",
"inside",
"menu",
"outside"
] |
touchtech/fashion-images-perspectives-vit-huge-patch14-224-in21k
|
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# fashion-images-perspectives-vit-huge-patch14-224-in21k
This model is a fine-tuned version of [google/vit-huge-patch14-224-in21k](https://huggingface.co/google/vit-huge-patch14-224-in21k) on the touchtech/fashion-images-perspectives dataset.
It achieves the following results on the evaluation set:
- Loss: 0.2604
- Accuracy: 0.9150
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 2e-05
- train_batch_size: 8
- eval_batch_size: 8
- seed: 1337
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 5.0
### Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:-----:|:---------------:|:--------:|
| 0.5932 | 1.0 | 3042 | 0.3863 | 0.8889 |
| 0.4286 | 2.0 | 6084 | 0.4201 | 0.8642 |
| 0.3628 | 3.0 | 9126 | 0.2820 | 0.9101 |
| 0.3183 | 4.0 | 12168 | 0.2604 | 0.9150 |
| 0.2648 | 5.0 | 15210 | 0.2710 | 0.9150 |
### Framework versions
- Transformers 4.33.0.dev0
- Pytorch 2.0.1+cu118
- Datasets 2.14.4
- Tokenizers 0.13.3
|
[
"model-back-close",
"model-back-full",
"pack-detail",
"pack-front",
"pack-side",
"pack-top",
"model-detail",
"model-front-close",
"model-front-full",
"model-side-close",
"model-side-full",
"pack-angled",
"pack-back",
"pack-bottom"
] |
touchtech/fashion-images-gender-age-vit-huge-patch14-224-in21k
|
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# fashion-images-gender-age-vit-huge-patch14-224-in21k
This model is a fine-tuned version of [google/vit-huge-patch14-224-in21k](https://huggingface.co/google/vit-huge-patch14-224-in21k) on the touchtech/fashion-images-gender-age dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0346
- Accuracy: 0.9895
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 2e-05
- train_batch_size: 8
- eval_batch_size: 8
- seed: 1337
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 5.0
### Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:-----:|:---------------:|:--------:|
| 0.1848 | 1.0 | 2422 | 0.0777 | 0.9798 |
| 0.1055 | 2.0 | 4844 | 0.0708 | 0.9819 |
| 0.0949 | 3.0 | 7266 | 0.0440 | 0.9877 |
| 0.08 | 4.0 | 9688 | 0.0373 | 0.9883 |
| 0.063 | 5.0 | 12110 | 0.0346 | 0.9895 |
### Framework versions
- Transformers 4.33.0.dev0
- Pytorch 2.0.1+cu118
- Datasets 2.14.4
- Tokenizers 0.13.3
|
[
"model-female-adult",
"model-female-child",
"model-male-adult",
"model-male-child",
"pack"
] |
touchtech/fashion-images-pack-types-vit-huge-patch14-224-in21k
|
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# fashion-images-pack-types-vit-huge-patch14-224-in21k
This model is a fine-tuned version of [google/vit-huge-patch14-224-in21k](https://huggingface.co/google/vit-huge-patch14-224-in21k) on the touchtech/fashion-images-pack-types dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0436
- Accuracy: 0.9890
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 2e-05
- train_batch_size: 8
- eval_batch_size: 8
- seed: 1337
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 5.0
### Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 0.2292 | 1.0 | 1676 | 0.1293 | 0.9755 |
| 0.1376 | 2.0 | 3352 | 0.0769 | 0.9827 |
| 0.1122 | 3.0 | 5028 | 0.0565 | 0.9852 |
| 0.0759 | 4.0 | 6704 | 0.0501 | 0.9873 |
| 0.0678 | 5.0 | 8380 | 0.0436 | 0.9890 |
### Framework versions
- Transformers 4.33.0.dev0
- Pytorch 2.0.1+cu118
- Datasets 2.14.4
- Tokenizers 0.13.3
|
[
"model",
"pack-accessory",
"pack-bottom-l0",
"pack-bottom-l1",
"pack-one-piece-l1",
"pack-shoes",
"pack-top-l1",
"pack-top-l2",
"pack-top-l3"
] |
dima806/chest_xray_pneumonia_detection
|
Checks whether there is a pneumonia based on chest X-ray image with about 96% accuracy.
See https://www.kaggle.com/code/dima806/chest-x-ray-pneumonia-detection for details.
```
Classification report:
precision recall f1-score support
NORMAL 0.9603 0.9614 0.9608 855
PNEUMONIA 0.9614 0.9602 0.9608 855
accuracy 0.9608 1710
macro avg 0.9608 0.9608 0.9608 1710
weighted avg 0.9608 0.9608 0.9608 1710
```
|
[
"normal",
"pneumonia"
] |
touchtech/fashion-images-pack-types-vit-large-patch16-224-in21k
|
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# fashion-images-pack-types-vit-large-patch16-224-in21k
This model is a fine-tuned version of [google/vit-large-patch16-224-in21k](https://huggingface.co/google/vit-large-patch16-224-in21k) on the touchtech/fashion-images-pack-types dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0343
- Accuracy: 0.9894
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 2e-05
- train_batch_size: 8
- eval_batch_size: 8
- seed: 1337
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 5.0
### Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 0.1556 | 1.0 | 1676 | 0.0490 | 0.9861 |
| 0.1185 | 2.0 | 3352 | 0.0343 | 0.9894 |
| 0.0815 | 3.0 | 5028 | 0.0537 | 0.9882 |
| 0.0503 | 4.0 | 6704 | 0.0374 | 0.9915 |
| 0.0447 | 5.0 | 8380 | 0.0362 | 0.9915 |
### Framework versions
- Transformers 4.33.0.dev0
- Pytorch 2.0.1+cu118
- Datasets 2.14.4
- Tokenizers 0.13.3
|
[
"model",
"pack-accessory",
"pack-bottom-l0",
"pack-bottom-l1",
"pack-one-piece-l1",
"pack-shoes",
"pack-top-l1",
"pack-top-l2",
"pack-top-l3"
] |
eitoi/food_classifier
|
<!-- This model card has been generated automatically according to the information Keras had access to. You should
probably proofread and complete it, then remove this comment. -->
# eitoi/food_classifier
This model is a fine-tuned version of [google/vit-base-patch16-224-in21k](https://huggingface.co/google/vit-base-patch16-224-in21k) on an unknown dataset.
It achieves the following results on the evaluation set:
- Train Loss: 0.3938
- Validation Loss: 0.3457
- Train Accuracy: 0.92
- Epoch: 4
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Training hyperparameters
The following hyperparameters were used during training:
- optimizer: {'name': 'AdamWeightDecay', 'learning_rate': {'class_name': 'PolynomialDecay', 'config': {'initial_learning_rate': 3e-05, 'decay_steps': 20000, 'end_learning_rate': 0.0, 'power': 1.0, 'cycle': False, 'name': None}}, 'decay': 0.0, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-08, 'amsgrad': False, 'weight_decay_rate': 0.01}
- training_precision: float32
### Training results
| Train Loss | Validation Loss | Train Accuracy | Epoch |
|:----------:|:---------------:|:--------------:|:-----:|
| 2.8191 | 1.6466 | 0.832 | 0 |
| 1.2361 | 0.8349 | 0.889 | 1 |
| 0.7265 | 0.5148 | 0.913 | 2 |
| 0.5151 | 0.3855 | 0.923 | 3 |
| 0.3938 | 0.3457 | 0.92 | 4 |
### Framework versions
- Transformers 4.32.1
- TensorFlow 2.12.0
- Datasets 2.14.4
- Tokenizers 0.13.3
|
[
"apple_pie",
"baby_back_ribs",
"bruschetta",
"waffles",
"caesar_salad",
"cannoli",
"caprese_salad",
"carrot_cake",
"ceviche",
"cheesecake",
"cheese_plate",
"chicken_curry",
"chicken_quesadilla",
"baklava",
"chicken_wings",
"chocolate_cake",
"chocolate_mousse",
"churros",
"clam_chowder",
"club_sandwich",
"crab_cakes",
"creme_brulee",
"croque_madame",
"cup_cakes",
"beef_carpaccio",
"deviled_eggs",
"donuts",
"dumplings",
"edamame",
"eggs_benedict",
"escargots",
"falafel",
"filet_mignon",
"fish_and_chips",
"foie_gras",
"beef_tartare",
"french_fries",
"french_onion_soup",
"french_toast",
"fried_calamari",
"fried_rice",
"frozen_yogurt",
"garlic_bread",
"gnocchi",
"greek_salad",
"grilled_cheese_sandwich",
"beet_salad",
"grilled_salmon",
"guacamole",
"gyoza",
"hamburger",
"hot_and_sour_soup",
"hot_dog",
"huevos_rancheros",
"hummus",
"ice_cream",
"lasagna",
"beignets",
"lobster_bisque",
"lobster_roll_sandwich",
"macaroni_and_cheese",
"macarons",
"miso_soup",
"mussels",
"nachos",
"omelette",
"onion_rings",
"oysters",
"bibimbap",
"pad_thai",
"paella",
"pancakes",
"panna_cotta",
"peking_duck",
"pho",
"pizza",
"pork_chop",
"poutine",
"prime_rib",
"bread_pudding",
"pulled_pork_sandwich",
"ramen",
"ravioli",
"red_velvet_cake",
"risotto",
"samosa",
"sashimi",
"scallops",
"seaweed_salad",
"shrimp_and_grits",
"breakfast_burrito",
"spaghetti_bolognese",
"spaghetti_carbonara",
"spring_rolls",
"steak",
"strawberry_shortcake",
"sushi",
"tacos",
"takoyaki",
"tiramisu",
"tuna_tartare"
] |
dima806/rice_type_detection
|
See https://www.kaggle.com/code/dima806/rice-type-image-detection-vit for details.
|
[
"arborio",
"jasmine",
"ipsala",
"karacadag",
"basmati"
] |
vesteinn/resnet50-prime
|
This is HF compatible checkpoint converted from the one made available at https://github.com/amodas/PRIME-augmentations
It's the ImageNet-1k Prime+ one.
|
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] |
touchtech/fashion-images-perspectives-vit-large-patch16-224-in21k
|
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# fashion-images-perspectives-vit-large-patch16-224-in21k
This model is a fine-tuned version of [google/vit-large-patch16-224-in21k](https://huggingface.co/google/vit-large-patch16-224-in21k) on the touchtech/fashion-images-perspectives dataset.
It achieves the following results on the evaluation set:
- Loss: 0.2543
- Accuracy: 0.9315
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 2e-05
- train_batch_size: 8
- eval_batch_size: 8
- seed: 1337
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 5.0
### Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:-----:|:---------------:|:--------:|
| 0.4164 | 1.0 | 3042 | 0.2868 | 0.9024 |
| 0.3391 | 2.0 | 6084 | 0.3055 | 0.9041 |
| 0.2836 | 3.0 | 9126 | 0.3071 | 0.9180 |
| 0.2292 | 4.0 | 12168 | 0.2543 | 0.9315 |
| 0.1842 | 5.0 | 15210 | 0.2562 | 0.9362 |
### Framework versions
- Transformers 4.33.0.dev0
- Pytorch 2.0.1+cu118
- Datasets 2.14.4
- Tokenizers 0.13.3
|
[
"model-back-close",
"model-back-full",
"pack-detail",
"pack-front",
"pack-side",
"pack-top",
"model-detail",
"model-front-close",
"model-front-full",
"model-side-close",
"model-side-full",
"pack-angled",
"pack-back",
"pack-bottom"
] |
touchtech/fashion-images-gender-age-vit-large-patch16-224-in21k
|
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# fashion-images-gender-age-vit-large-patch16-224-in21k
This model is a fine-tuned version of [google/vit-large-patch16-224-in21k](https://huggingface.co/google/vit-large-patch16-224-in21k) on the touchtech/fashion-images-gender-age dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0276
- Accuracy: 0.9944
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 2e-05
- train_batch_size: 8
- eval_batch_size: 8
- seed: 1337
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 5.0
### Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:-----:|:---------------:|:--------:|
| 0.1615 | 1.0 | 2422 | 0.0551 | 0.9848 |
| 0.1032 | 2.0 | 4844 | 0.0404 | 0.9904 |
| 0.095 | 3.0 | 7266 | 0.0480 | 0.9904 |
| 0.0599 | 4.0 | 9688 | 0.0329 | 0.9924 |
| 0.0386 | 5.0 | 12110 | 0.0276 | 0.9944 |
### Framework versions
- Transformers 4.33.0.dev0
- Pytorch 2.0.1+cu118
- Datasets 2.14.4
- Tokenizers 0.13.3
|
[
"model-female-adult",
"model-female-child",
"model-male-adult",
"model-male-child",
"pack"
] |
Prot10/swinv2-base-patch4-window8-256-for-pre_evaluation
|
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# swinv2-base-patch4-window8-256-for-pre_evaluation
This model is a fine-tuned version of [microsoft/swinv2-base-patch4-window8-256](https://huggingface.co/microsoft/swinv2-base-patch4-window8-256) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 1.4873
- Accuracy: 0.4106
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 5e-05
- train_batch_size: 32
- eval_batch_size: 32
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 128
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 30
### Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 1.6064 | 1.0 | 16 | 1.5189 | 0.3073 |
| 1.5058 | 2.0 | 32 | 1.5056 | 0.3073 |
| 1.5176 | 3.0 | 48 | 1.5176 | 0.2961 |
| 1.4883 | 4.0 | 64 | 1.5130 | 0.3073 |
| 1.4446 | 5.0 | 80 | 1.4540 | 0.3296 |
| 1.4568 | 6.0 | 96 | 1.5154 | 0.3156 |
| 1.4106 | 7.0 | 112 | 1.4272 | 0.3883 |
| 1.3804 | 8.0 | 128 | 1.4185 | 0.3743 |
| 1.3725 | 9.0 | 144 | 1.3943 | 0.3911 |
| 1.3441 | 10.0 | 160 | 1.4510 | 0.4022 |
| 1.3335 | 11.0 | 176 | 1.4337 | 0.3827 |
| 1.3055 | 12.0 | 192 | 1.4633 | 0.3855 |
| 1.3303 | 13.0 | 208 | 1.4674 | 0.3883 |
| 1.2882 | 14.0 | 224 | 1.4388 | 0.3911 |
| 1.2362 | 15.0 | 240 | 1.4676 | 0.3855 |
| 1.2572 | 16.0 | 256 | 1.4805 | 0.3799 |
| 1.2164 | 17.0 | 272 | 1.4717 | 0.3939 |
| 1.221 | 18.0 | 288 | 1.4354 | 0.4078 |
| 1.1713 | 19.0 | 304 | 1.4836 | 0.4078 |
| 1.18 | 20.0 | 320 | 1.4873 | 0.4106 |
| 1.1349 | 21.0 | 336 | 1.4853 | 0.3855 |
| 1.1138 | 22.0 | 352 | 1.4927 | 0.3966 |
| 1.1402 | 23.0 | 368 | 1.4672 | 0.3994 |
| 1.1183 | 24.0 | 384 | 1.5033 | 0.4022 |
| 1.0834 | 25.0 | 400 | 1.5448 | 0.3855 |
| 1.0515 | 26.0 | 416 | 1.5131 | 0.3939 |
| 1.0745 | 27.0 | 432 | 1.5314 | 0.3827 |
| 1.0332 | 28.0 | 448 | 1.5474 | 0.3939 |
| 1.0679 | 29.0 | 464 | 1.5327 | 0.3855 |
| 1.0295 | 30.0 | 480 | 1.5402 | 0.3855 |
### Framework versions
- Transformers 4.33.1
- Pytorch 2.0.1+cu118
- Datasets 2.14.5
- Tokenizers 0.13.3
|
[
"0_soft",
"1_semi_medium",
"2_medium",
"3_semi_hard",
"4_hard"
] |
Prot10/convnextv2-base-1k-224-for-pre_evaluation
|
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# convnextv2-base-1k-224-for-pre_evaluation
This model is a fine-tuned version of [facebook/convnextv2-base-1k-224](https://huggingface.co/facebook/convnextv2-base-1k-224) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 1.3599
- Accuracy: 0.4190
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 5e-05
- train_batch_size: 32
- eval_batch_size: 32
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 128
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 30
### Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 1.6 | 1.0 | 16 | 1.5316 | 0.2961 |
| 1.5084 | 2.0 | 32 | 1.5061 | 0.2849 |
| 1.5134 | 3.0 | 48 | 1.4968 | 0.3240 |
| 1.4663 | 4.0 | 64 | 1.4607 | 0.3352 |
| 1.4046 | 5.0 | 80 | 1.4509 | 0.3268 |
| 1.4085 | 6.0 | 96 | 1.4423 | 0.3883 |
| 1.3443 | 7.0 | 112 | 1.4005 | 0.4022 |
| 1.3025 | 8.0 | 128 | 1.3599 | 0.4190 |
| 1.2627 | 9.0 | 144 | 1.3638 | 0.3911 |
| 1.2099 | 10.0 | 160 | 1.4058 | 0.3492 |
| 1.2086 | 11.0 | 176 | 1.4431 | 0.3408 |
| 1.1393 | 12.0 | 192 | 1.4143 | 0.3492 |
| 1.1039 | 13.0 | 208 | 1.4305 | 0.3883 |
| 1.0551 | 14.0 | 224 | 1.5203 | 0.3520 |
| 1.0368 | 15.0 | 240 | 1.5117 | 0.3324 |
| 0.9753 | 16.0 | 256 | 1.4545 | 0.3771 |
| 0.938 | 17.0 | 272 | 1.5396 | 0.3352 |
| 0.899 | 18.0 | 288 | 1.5770 | 0.3408 |
| 0.8629 | 19.0 | 304 | 1.7106 | 0.3128 |
| 0.8674 | 20.0 | 320 | 1.5864 | 0.3352 |
| 0.7789 | 21.0 | 336 | 1.6129 | 0.3408 |
| 0.7426 | 22.0 | 352 | 1.6353 | 0.3603 |
| 0.7677 | 23.0 | 368 | 1.6793 | 0.3464 |
| 0.7172 | 24.0 | 384 | 1.6759 | 0.3575 |
| 0.6809 | 25.0 | 400 | 1.7013 | 0.3659 |
| 0.6619 | 26.0 | 416 | 1.7108 | 0.3631 |
| 0.6656 | 27.0 | 432 | 1.7327 | 0.3715 |
| 0.6258 | 28.0 | 448 | 1.7378 | 0.3547 |
| 0.6173 | 29.0 | 464 | 1.7461 | 0.3603 |
| 0.6214 | 30.0 | 480 | 1.7475 | 0.3520 |
### Framework versions
- Transformers 4.33.1
- Pytorch 2.0.1+cu118
- Datasets 2.14.5
- Tokenizers 0.13.3
|
[
"0_soft",
"1_semi_medium",
"2_medium",
"3_semi_hard",
"4_hard"
] |
Woleek/day-night
|
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# day-night
This model is a fine-tuned version of [google/mobilenet_v2_0.75_160](https://huggingface.co/google/mobilenet_v2_0.75_160) on the imagefolder dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0117
- Accuracy: 0.9965
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 0.0001
- train_batch_size: 10
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 5
### Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 0.0899 | 0.6 | 200 | 0.0934 | 0.9711 |
| 0.026 | 1.19 | 400 | 0.0225 | 0.9942 |
| 0.0689 | 1.79 | 600 | 1.5236 | 0.7032 |
| 0.0193 | 2.38 | 800 | 0.0117 | 0.9965 |
| 0.028 | 2.98 | 1000 | 0.0186 | 0.9919 |
| 0.0159 | 3.57 | 1200 | 0.0150 | 0.9954 |
| 0.0194 | 4.17 | 1400 | 0.0369 | 0.9919 |
| 0.0081 | 4.76 | 1600 | 0.0471 | 0.9850 |
### Framework versions
- Transformers 4.31.0
- Pytorch 2.0.1+cu117
- Datasets 2.14.4
- Tokenizers 0.13.3
|
[
"day",
"night"
] |
pnadel/pri_docidv2
|
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# pri_docidv2
This model is a fine-tuned version of [google/vit-base-patch16-224-in21k](https://huggingface.co/google/vit-base-patch16-224-in21k) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.1914
- Accuracy: 0.9571
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 0.0003
- train_batch_size: 16
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 10
### Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 0.0366 | 3.23 | 100 | 0.3685 | 0.9286 |
| 0.006 | 6.45 | 200 | 0.1914 | 0.9571 |
| 0.0031 | 9.68 | 300 | 0.2109 | 0.9571 |
### Framework versions
- Transformers 4.32.1
- Pytorch 2.0.1+cu118
- Datasets 2.14.4
- Tokenizers 0.13.3
|
[
"handwritten",
"publication",
"tabular",
"typeset document",
"unusable"
] |
dima806/fruits_type_detection
|
See https://www.kaggle.com/code/dima806/fruits-image-detection-vit for more details.
|
[
"onion white",
"avocado",
"apple crimson snow",
"tomato 2",
"pear red",
"apricot",
"carambula",
"cherry wax red",
"apple red 2",
"plum 2",
"cucumber ripe 2",
"passion fruit",
"kiwi",
"tomato maroon",
"cherry wax yellow",
"cactus fruit",
"strawberry",
"rambutan",
"cocos",
"mango red",
"onion red",
"raspberry",
"pear",
"pear forelle",
"pomegranate",
"potato sweet",
"pepper green",
"apple granny smith",
"pear williams",
"papaya",
"beetroot",
"pepino",
"kohlrabi",
"cherry wax black",
"cherry rainier",
"limes",
"grape white 4",
"kumquats",
"pear kaiser",
"cherry 1",
"cucumber ripe",
"strawberry wedge",
"walnut",
"eggplant",
"peach flat",
"tomato yellow",
"grape pink",
"apple red yellow 1",
"physalis with husk",
"blueberry",
"apple red yellow 2",
"mango",
"ginger root",
"banana",
"grape white 3",
"apple golden 2",
"apple red delicious",
"corn",
"tomato 4",
"potato white",
"salak",
"grape white 2",
"fig",
"tomato cherry red",
"chestnut",
"pineapple",
"mangostan",
"potato red washed",
"watermelon",
"peach",
"onion red peeled",
"lemon",
"pineapple mini",
"dates",
"pear abate",
"pear stone",
"quince",
"grape blue",
"grapefruit pink",
"pepper yellow",
"pepper orange",
"nectarine",
"avocado ripe",
"mandarine",
"tangelo",
"apple golden 3",
"tamarillo",
"lemon meyer",
"apple red 1",
"cauliflower",
"nut forest",
"physalis",
"peach 2",
"grape white",
"melon piel de sapo",
"clementine",
"nectarine flat",
"huckleberry",
"pomelo sweetie",
"apple braeburn",
"tomato heart",
"plum 3",
"guava",
"cantaloupe 1",
"tomato 1",
"corn husk",
"cantaloupe 2",
"tomato not ripened",
"potato red",
"lychee",
"banana lady finger",
"cherry 2",
"maracuja",
"pear 2",
"orange",
"granadilla",
"banana red",
"apple pink lady",
"redcurrant",
"apple red 3",
"pepper red",
"pear monster",
"tomato 3",
"apple golden 1",
"plum",
"kaki",
"grapefruit white",
"mulberry",
"nut pecan",
"hazelnut",
"pitahaya red"
] |
touchtech/fashion-images-gender-age-vit-large-patch16-224-in21k-v2
|
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# fashion-images-gender-age-vit-large-patch16-224-in21k-v2
This model is a fine-tuned version of [google/vit-large-patch16-224-in21k](https://huggingface.co/google/vit-large-patch16-224-in21k) on the touchtech/fashion-images-gender-age dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0213
- Accuracy: 0.9939
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 2e-05
- train_batch_size: 8
- eval_batch_size: 8
- seed: 1337
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 5.0
### Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:-----:|:---------------:|:--------:|
| 0.1758 | 1.0 | 2447 | 0.0484 | 0.9864 |
| 0.1123 | 2.0 | 4894 | 0.0851 | 0.9800 |
| 0.0922 | 3.0 | 7341 | 0.0341 | 0.9910 |
| 0.0592 | 4.0 | 9788 | 0.0213 | 0.9939 |
| 0.053 | 5.0 | 12235 | 0.0259 | 0.9942 |
### Framework versions
- Transformers 4.33.0.dev0
- Pytorch 2.0.1+cu118
- Datasets 2.14.4
- Tokenizers 0.13.3
|
[
"model-female-adult",
"model-female-child",
"model-male-adult",
"model-male-child",
"pack"
] |
dima806/pets_facial_expression_detection
|
See https://www.kaggle.com/code/dima806/pets-facial-expression-detection-vit for details.
|
[
"angry",
"happy",
"other",
"sad"
] |
mansee/swin-tiny-patch4-window7-224-img_orientation
|
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# swin-tiny-patch4-window7-224-img_orientation
This model is a fine-tuned version of [mansee/swin-tiny-patch4-window7-224](https://huggingface.co/mansee/swin-tiny-patch4-window7-224) on the imagefolder dataset.
It achieves the following results on the evaluation set:
- Loss: 0.1069
- Accuracy: 0.9645
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 5e-05
- train_batch_size: 32
- eval_batch_size: 32
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 128
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 10
### Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 0.5605 | 1.0 | 506 | 0.3984 | 0.8341 |
| 0.3828 | 2.0 | 1013 | 0.1944 | 0.9271 |
| 0.3092 | 3.0 | 1519 | 0.1862 | 0.9339 |
| 0.3234 | 4.0 | 2026 | 0.1415 | 0.9510 |
| 0.2471 | 5.0 | 2532 | 0.1355 | 0.9517 |
| 0.251 | 6.0 | 3039 | 0.1170 | 0.9606 |
| 0.2276 | 7.0 | 3545 | 0.1136 | 0.9627 |
| 0.2182 | 8.0 | 4052 | 0.1121 | 0.9628 |
| 0.1386 | 9.0 | 4558 | 0.1116 | 0.9632 |
| 0.1466 | 9.99 | 5060 | 0.1069 | 0.9645 |
### Framework versions
- Transformers 4.33.1
- Pytorch 2.0.1+cu118
- Datasets 2.14.5
- Tokenizers 0.13.3
|
[
"0_degree",
"180_degree",
"270_degree",
"90_degree"
] |
Woleek/camera-type
|
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# camera-type
This model is a fine-tuned version of [google/vit-base-patch16-224](https://huggingface.co/google/vit-base-patch16-224) on the imagefolder dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0235
- Accuracy: 0.9916
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 0.0001
- train_batch_size: 10
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 5
### Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 0.0064 | 0.4 | 200 | 0.0235 | 0.9916 |
| 0.0034 | 0.79 | 400 | 0.0392 | 0.9941 |
| 0.0066 | 1.19 | 600 | 0.1011 | 0.9840 |
| 0.0 | 1.58 | 800 | 0.1227 | 0.9840 |
| 0.0 | 1.98 | 1000 | 0.1232 | 0.9840 |
| 0.0 | 2.37 | 1200 | 0.1433 | 0.9840 |
| 0.0 | 2.77 | 1400 | 0.1416 | 0.9840 |
| 0.0 | 3.16 | 1600 | 0.1408 | 0.9840 |
| 0.0 | 3.56 | 1800 | 0.1401 | 0.9840 |
| 0.0 | 3.95 | 2000 | 0.1394 | 0.9840 |
| 0.0 | 4.35 | 2200 | 0.1390 | 0.9840 |
| 0.0 | 4.74 | 2400 | 0.1389 | 0.9840 |
### Framework versions
- Transformers 4.31.0
- Pytorch 2.0.1+cu117
- Datasets 2.14.4
- Tokenizers 0.13.3
|
[
"cctv",
"phone",
"topdown"
] |
dima806/attractive_faces_celebs_detection
|
Returns person celebrity-style attractiveness (0 to 1) based on facial image with about 83% accuracy.
See https://www.kaggle.com/code/dima806/attractive-faces-celebs-detection-vit for more details.
```
Classification report:
precision recall f1-score support
attractive 0.8297 0.8502 0.8398 5192
not attractive 0.8464 0.8255 0.8358 5192
accuracy 0.8378 10384
macro avg 0.8380 0.8378 0.8378 10384
weighted avg 0.8380 0.8378 0.8378 10384
```
|
[
"attractive",
"not attractive"
] |
sbaner24/vit-base-patch16-224-Trial007-008-YEL_STEM2
|
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# vit-base-patch16-224-Trial007-008-YEL_STEM2
This model is a fine-tuned version of [google/vit-base-patch16-224](https://huggingface.co/google/vit-base-patch16-224) on the imagefolder dataset.
It achieves the following results on the evaluation set:
- Loss: 0.1014
- Accuracy: 1.0
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 5e-05
- train_batch_size: 60
- eval_batch_size: 60
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 240
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 50
### Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 0.7829 | 1.0 | 3 | 0.6908 | 0.5769 |
| 0.609 | 2.0 | 6 | 0.6573 | 0.6795 |
| 0.5343 | 3.0 | 9 | 0.4127 | 0.8205 |
| 0.4062 | 4.0 | 12 | 0.3091 | 0.8974 |
| 0.322 | 5.0 | 15 | 0.1731 | 0.9744 |
| 0.2056 | 6.0 | 18 | 0.1610 | 0.9615 |
| 0.265 | 7.0 | 21 | 0.1083 | 0.9744 |
| 0.2145 | 8.0 | 24 | 0.0809 | 0.9872 |
| 0.2869 | 9.0 | 27 | 0.1014 | 1.0 |
| 0.1803 | 10.0 | 30 | 0.0499 | 1.0 |
| 0.2353 | 11.0 | 33 | 0.0597 | 1.0 |
| 0.1768 | 12.0 | 36 | 0.0614 | 1.0 |
| 0.2124 | 13.0 | 39 | 0.0574 | 1.0 |
| 0.2366 | 14.0 | 42 | 0.0844 | 1.0 |
| 0.2283 | 15.0 | 45 | 0.0603 | 0.9872 |
| 0.246 | 16.0 | 48 | 0.0537 | 1.0 |
| 0.1636 | 17.0 | 51 | 0.0569 | 1.0 |
| 0.1983 | 18.0 | 54 | 0.0565 | 1.0 |
| 0.1817 | 19.0 | 57 | 0.0684 | 1.0 |
| 0.1835 | 20.0 | 60 | 0.0580 | 1.0 |
| 0.1293 | 21.0 | 63 | 0.0324 | 1.0 |
| 0.1985 | 22.0 | 66 | 0.0398 | 1.0 |
| 0.1827 | 23.0 | 69 | 0.0596 | 1.0 |
| 0.2516 | 24.0 | 72 | 0.0545 | 1.0 |
| 0.1871 | 25.0 | 75 | 0.0620 | 1.0 |
| 0.1853 | 26.0 | 78 | 0.0558 | 1.0 |
| 0.2257 | 27.0 | 81 | 0.0488 | 1.0 |
| 0.159 | 28.0 | 84 | 0.0500 | 1.0 |
| 0.1767 | 29.0 | 87 | 0.0508 | 1.0 |
| 0.1841 | 30.0 | 90 | 0.0599 | 1.0 |
| 0.1234 | 31.0 | 93 | 0.0602 | 1.0 |
| 0.1836 | 32.0 | 96 | 0.0504 | 1.0 |
| 0.1898 | 33.0 | 99 | 0.0477 | 1.0 |
| 0.187 | 34.0 | 102 | 0.0560 | 1.0 |
| 0.1405 | 35.0 | 105 | 0.0672 | 1.0 |
| 0.188 | 36.0 | 108 | 0.0783 | 1.0 |
| 0.1855 | 37.0 | 111 | 0.0727 | 1.0 |
| 0.1833 | 38.0 | 114 | 0.0611 | 1.0 |
| 0.1957 | 39.0 | 117 | 0.0552 | 1.0 |
| 0.1463 | 40.0 | 120 | 0.0529 | 1.0 |
| 0.1255 | 41.0 | 123 | 0.0541 | 1.0 |
| 0.1558 | 42.0 | 126 | 0.0526 | 1.0 |
| 0.148 | 43.0 | 129 | 0.0513 | 1.0 |
| 0.1703 | 44.0 | 132 | 0.0615 | 1.0 |
| 0.1951 | 45.0 | 135 | 0.0547 | 1.0 |
| 0.1637 | 46.0 | 138 | 0.0536 | 1.0 |
| 0.1754 | 47.0 | 141 | 0.0506 | 1.0 |
| 0.1444 | 48.0 | 144 | 0.0519 | 1.0 |
| 0.1726 | 49.0 | 147 | 0.0545 | 1.0 |
| 0.1439 | 50.0 | 150 | 0.0553 | 1.0 |
### Framework versions
- Transformers 4.30.0.dev0
- Pytorch 1.12.1
- Datasets 2.12.0
- Tokenizers 0.13.1
|
[
"plant2",
"plant3"
] |
HorcruxNo13/swin-tiny-patch4-window7-224-finetuned-eurosat
|
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# swin-tiny-patch4-window7-224-finetuned-eurosat
This model is a fine-tuned version of [microsoft/swin-tiny-patch4-window7-224](https://huggingface.co/microsoft/swin-tiny-patch4-window7-224) on the imagefolder dataset.
It achieves the following results on the evaluation set:
- Loss: 3.6202
- Accuracy: 0.7333
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 0.05
- train_batch_size: 64
- eval_batch_size: 64
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 256
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 5
### Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| No log | 1.0 | 4 | 17.1475 | 0.7333 |
| No log | 2.0 | 8 | 15.6693 | 0.7333 |
| 16.7023 | 3.0 | 12 | 28.5702 | 0.2667 |
| 16.7023 | 4.0 | 16 | 4.1452 | 0.2667 |
| 12.6945 | 5.0 | 20 | 3.6202 | 0.7333 |
### Framework versions
- Transformers 4.32.1
- Pytorch 2.0.1+cu118
- Datasets 2.14.4
- Tokenizers 0.13.3
|
[
"normal",
"abnormal"
] |
marcohperez/my_awesome_food_model
|
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# my_awesome_food_model
This model is a fine-tuned version of [google/vit-base-patch16-224-in21k](https://huggingface.co/google/vit-base-patch16-224-in21k) on the food101 dataset.
It achieves the following results on the evaluation set:
- Loss: 1.6340
- Accuracy: 0.894
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 5e-05
- train_batch_size: 16
- eval_batch_size: 16
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 64
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 3
### Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 2.7526 | 0.99 | 62 | 2.5548 | 0.807 |
| 1.8793 | 2.0 | 125 | 1.7954 | 0.863 |
| 1.6233 | 2.98 | 186 | 1.6340 | 0.894 |
### Framework versions
- Transformers 4.32.1
- Pytorch 2.0.1+cu118
- Datasets 2.14.4
- Tokenizers 0.13.3
|
[
"apple_pie",
"baby_back_ribs",
"bruschetta",
"waffles",
"caesar_salad",
"cannoli",
"caprese_salad",
"carrot_cake",
"ceviche",
"cheesecake",
"cheese_plate",
"chicken_curry",
"chicken_quesadilla",
"baklava",
"chicken_wings",
"chocolate_cake",
"chocolate_mousse",
"churros",
"clam_chowder",
"club_sandwich",
"crab_cakes",
"creme_brulee",
"croque_madame",
"cup_cakes",
"beef_carpaccio",
"deviled_eggs",
"donuts",
"dumplings",
"edamame",
"eggs_benedict",
"escargots",
"falafel",
"filet_mignon",
"fish_and_chips",
"foie_gras",
"beef_tartare",
"french_fries",
"french_onion_soup",
"french_toast",
"fried_calamari",
"fried_rice",
"frozen_yogurt",
"garlic_bread",
"gnocchi",
"greek_salad",
"grilled_cheese_sandwich",
"beet_salad",
"grilled_salmon",
"guacamole",
"gyoza",
"hamburger",
"hot_and_sour_soup",
"hot_dog",
"huevos_rancheros",
"hummus",
"ice_cream",
"lasagna",
"beignets",
"lobster_bisque",
"lobster_roll_sandwich",
"macaroni_and_cheese",
"macarons",
"miso_soup",
"mussels",
"nachos",
"omelette",
"onion_rings",
"oysters",
"bibimbap",
"pad_thai",
"paella",
"pancakes",
"panna_cotta",
"peking_duck",
"pho",
"pizza",
"pork_chop",
"poutine",
"prime_rib",
"bread_pudding",
"pulled_pork_sandwich",
"ramen",
"ravioli",
"red_velvet_cake",
"risotto",
"samosa",
"sashimi",
"scallops",
"seaweed_salad",
"shrimp_and_grits",
"breakfast_burrito",
"spaghetti_bolognese",
"spaghetti_carbonara",
"spring_rolls",
"steak",
"strawberry_shortcake",
"sushi",
"tacos",
"takoyaki",
"tiramisu",
"tuna_tartare"
] |
KhalfounMehdi/dermatology_vit
|
# Model Trained Using AutoTrain
- Problem type: Image Classification
## Validation Metricsg
No validation metrics available
|
[
"benign",
"malignant"
] |
Jakir057/finetuned-indian-food
|
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# finetuned-indian-food
This model is a fine-tuned version of [google/vit-base-patch16-224-in21k](https://huggingface.co/google/vit-base-patch16-224-in21k) on the indian_food_images dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0026
- Accuracy: 0.9996
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 0.0002
- train_batch_size: 16
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 4
### Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 0.7056 | 0.1 | 100 | 0.5113 | 0.8881 |
| 0.3027 | 0.21 | 200 | 0.1280 | 0.9796 |
| 0.2823 | 0.31 | 300 | 0.1580 | 0.9656 |
| 0.3273 | 0.42 | 400 | 0.0879 | 0.9837 |
| 0.1808 | 0.52 | 500 | 0.0812 | 0.9822 |
| 0.2101 | 0.63 | 600 | 0.0339 | 0.9937 |
| 0.1495 | 0.73 | 700 | 0.0568 | 0.9833 |
| 0.1296 | 0.84 | 800 | 0.0629 | 0.9844 |
| 0.1462 | 0.94 | 900 | 0.0886 | 0.9733 |
| 0.0519 | 1.04 | 1000 | 0.0544 | 0.9870 |
| 0.3192 | 1.15 | 1100 | 0.0892 | 0.9726 |
| 0.158 | 1.25 | 1200 | 0.0632 | 0.98 |
| 0.0266 | 1.36 | 1300 | 0.0233 | 0.9944 |
| 0.1832 | 1.46 | 1400 | 0.0292 | 0.9930 |
| 0.1212 | 1.57 | 1500 | 0.0489 | 0.9852 |
| 0.0994 | 1.67 | 1600 | 0.0142 | 0.9974 |
| 0.0219 | 1.78 | 1700 | 0.0277 | 0.9930 |
| 0.0664 | 1.88 | 1800 | 0.0158 | 0.9974 |
| 0.0834 | 1.99 | 1900 | 0.0124 | 0.9978 |
| 0.1093 | 2.09 | 2000 | 0.0140 | 0.9974 |
| 0.1726 | 2.19 | 2100 | 0.0147 | 0.9963 |
| 0.0476 | 2.3 | 2200 | 0.0058 | 0.9993 |
| 0.0257 | 2.4 | 2300 | 0.0424 | 0.9911 |
| 0.0215 | 2.51 | 2400 | 0.0076 | 0.9989 |
| 0.0748 | 2.61 | 2500 | 0.0099 | 0.9974 |
| 0.0059 | 2.72 | 2600 | 0.0053 | 0.9993 |
| 0.0527 | 2.82 | 2700 | 0.0149 | 0.9963 |
| 0.0203 | 2.93 | 2800 | 0.0041 | 0.9993 |
| 0.0791 | 3.03 | 2900 | 0.0033 | 0.9989 |
| 0.0389 | 3.13 | 3000 | 0.0033 | 0.9989 |
| 0.0459 | 3.24 | 3100 | 0.0044 | 0.9989 |
| 0.0276 | 3.34 | 3200 | 0.0031 | 0.9996 |
| 0.0139 | 3.45 | 3300 | 0.0028 | 0.9996 |
| 0.0076 | 3.55 | 3400 | 0.0055 | 0.9985 |
| 0.0097 | 3.66 | 3500 | 0.0027 | 0.9996 |
| 0.0193 | 3.76 | 3600 | 0.0026 | 0.9996 |
| 0.0471 | 3.87 | 3700 | 0.0027 | 0.9996 |
| 0.0282 | 3.97 | 3800 | 0.0027 | 0.9996 |
### Framework versions
- Transformers 4.32.1
- Pytorch 2.0.1+cu118
- Datasets 2.14.4
- Tokenizers 0.13.3
|
[
"10",
"100",
"1000",
"2",
"20",
"200",
"5",
"50",
"500"
] |
KhalfounMehdi/mura_vit_224
|
# Model Trained Using AutoTrain
- Problem type: Image Classification
## Validation Metrics
{'accuracy': 0.7795551112221945,
'recall': 0.9037098791162984,
'precision': 0.7690670450514366,
'f1': 0.83096972019931,
'total_time_in_seconds': 81.18831510400014,
'samples_per_second': 49.28049060846776,
'latency_in_seconds': 0.020292005774556397}
|
[
"abnormal",
"normal"
] |
Jakir057/banknote18k
|
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# banknote18k
This model is a fine-tuned version of [google/vit-base-patch16-224-in21k](https://huggingface.co/google/vit-base-patch16-224-in21k) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0096
- Accuracy: 0.9987
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 0.0002
- train_batch_size: 16
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 4
### Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 0.4947 | 0.12 | 100 | 0.3407 | 0.9451 |
| 0.423 | 0.23 | 200 | 0.2200 | 0.9451 |
| 0.2237 | 0.35 | 300 | 0.1613 | 0.9536 |
| 0.2806 | 0.46 | 400 | 0.0884 | 0.9810 |
| 0.1188 | 0.58 | 500 | 0.0512 | 0.9895 |
| 0.3279 | 0.7 | 600 | 0.0568 | 0.9876 |
| 0.1054 | 0.81 | 700 | 0.0342 | 0.9928 |
| 0.0924 | 0.93 | 800 | 0.0536 | 0.9863 |
| 0.1068 | 1.05 | 900 | 0.0746 | 0.9804 |
| 0.213 | 1.16 | 1000 | 0.0340 | 0.9948 |
| 0.159 | 1.28 | 1100 | 0.0426 | 0.9882 |
| 0.1048 | 1.39 | 1200 | 0.0248 | 0.9948 |
| 0.1493 | 1.51 | 1300 | 0.0154 | 0.9974 |
| 0.1274 | 1.63 | 1400 | 0.0394 | 0.9922 |
| 0.0915 | 1.74 | 1500 | 0.0422 | 0.9882 |
| 0.0598 | 1.86 | 1600 | 0.0219 | 0.9948 |
| 0.1241 | 1.97 | 1700 | 0.0173 | 0.9948 |
| 0.1249 | 2.09 | 1800 | 0.0179 | 0.9954 |
| 0.0131 | 2.21 | 1900 | 0.0124 | 0.9961 |
| 0.0392 | 2.32 | 2000 | 0.0123 | 0.9967 |
| 0.0655 | 2.44 | 2100 | 0.0223 | 0.9948 |
| 0.0355 | 2.56 | 2200 | 0.0256 | 0.9941 |
| 0.0335 | 2.67 | 2300 | 0.0147 | 0.9967 |
| 0.0618 | 2.79 | 2400 | 0.0123 | 0.9974 |
| 0.0476 | 2.9 | 2500 | 0.0110 | 0.9980 |
| 0.0452 | 3.02 | 2600 | 0.0192 | 0.9967 |
| 0.0104 | 3.14 | 2700 | 0.0184 | 0.9967 |
| 0.036 | 3.25 | 2800 | 0.0122 | 0.9974 |
| 0.0358 | 3.37 | 2900 | 0.0104 | 0.9987 |
| 0.054 | 3.48 | 3000 | 0.0101 | 0.9987 |
| 0.0395 | 3.6 | 3100 | 0.0132 | 0.9967 |
| 0.0367 | 3.72 | 3200 | 0.0096 | 0.9987 |
| 0.0261 | 3.83 | 3300 | 0.0101 | 0.9980 |
| 0.0017 | 3.95 | 3400 | 0.0096 | 0.9987 |
### Framework versions
- Transformers 4.32.1
- Pytorch 2.0.1+cu118
- Datasets 2.14.4
- Tokenizers 0.13.3
|
[
"10",
"100",
"1000",
"2",
"20",
"200",
"5",
"50",
"500"
] |
MP-1961/vit-base-patch16-224-finetuned-flower
|
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# vit-base-patch16-224-finetuned-flower
This model is a fine-tuned version of [google/vit-base-patch16-224](https://huggingface.co/google/vit-base-patch16-224) on the imagefolder dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 5e-05
- train_batch_size: 32
- eval_batch_size: 32
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 5
### Training results
### Framework versions
- Transformers 4.24.0
- Pytorch 2.0.1+cu118
- Datasets 2.7.1
- Tokenizers 0.13.3
|
[
"daisy",
"dandelion",
"roses",
"sunflowers",
"tulips"
] |
KhalfounMehdi/vit_musculoskeletal_abnormality_detection_mura_224px_16bs_20ep
|
# Model Trained Using AutoTrain
- Problem type: Image Classification
## Validation Metricsg
loss: 0.5185230374336243
f1: 0.8211164615658998
precision: 0.7175810473815462
recall: 0.9595664860358483
auc: 0.7988417458585272
accuracy: 0.749312671832042
|
[
"abnormal",
"normal"
] |
HorcruxNo13/swinv2-small-patch4-window8-256-finetuned-eurosat
|
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# swinv2-small-patch4-window8-256-finetuned-eurosat
This model is a fine-tuned version of [microsoft/swinv2-small-patch4-window8-256](https://huggingface.co/microsoft/swinv2-small-patch4-window8-256) on the imagefolder dataset.
It achieves the following results on the evaluation set:
- Loss: 0.5868
- Accuracy: 0.7333
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 0.05
- train_batch_size: 32
- eval_batch_size: 32
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 128
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 5
### Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| No log | 1.0 | 8 | 1.1951 | 0.2667 |
| 5.0901 | 2.0 | 16 | 1.4301 | 0.7333 |
| 2.785 | 3.0 | 24 | 1.1514 | 0.2667 |
| 0.8599 | 4.0 | 32 | 0.5810 | 0.7333 |
| 0.6058 | 5.0 | 40 | 0.5868 | 0.7333 |
### Framework versions
- Transformers 4.32.1
- Pytorch 2.0.1+cu118
- Datasets 2.14.4
- Tokenizers 0.13.3
|
[
"normal",
"abnormal"
] |
HorcruxNo13/vit-base-patch16-224-in21k-finetuned-eurosat
|
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# vit-base-patch16-224-in21k-finetuned-eurosat
This model is a fine-tuned version of [google/vit-base-patch16-224-in21k](https://huggingface.co/google/vit-base-patch16-224-in21k) on the imagefolder dataset.
It achieves the following results on the evaluation set:
- Loss: 0.5802
- Accuracy: 0.7333
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 0.05
- train_batch_size: 32
- eval_batch_size: 32
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 128
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 5
### Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| No log | 1.0 | 8 | 1.0922 | 0.7333 |
| 2.0408 | 2.0 | 16 | 0.6039 | 0.7333 |
| 0.9248 | 3.0 | 24 | 0.5810 | 0.7333 |
| 0.6035 | 4.0 | 32 | 0.5830 | 0.7333 |
| 0.5951 | 5.0 | 40 | 0.5802 | 0.7333 |
### Framework versions
- Transformers 4.32.1
- Pytorch 2.0.1+cu118
- Datasets 2.14.4
- Tokenizers 0.13.3
|
[
"normal",
"abnormal"
] |
HorcruxNo13/beit-base-patch16-224-pt22k-ft22k
|
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# beit-base-patch16-224-pt22k-ft22k
This model is a fine-tuned version of [microsoft/beit-base-patch16-224-pt22k-ft22k](https://huggingface.co/microsoft/beit-base-patch16-224-pt22k-ft22k) on the imagefolder dataset.
It achieves the following results on the evaluation set:
- Loss: 0.6312
- Accuracy: 0.6867
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 5e-05
- train_batch_size: 32
- eval_batch_size: 32
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 128
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 3
### Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| No log | 1.0 | 8 | 3.4268 | 0.275 |
| 6.7921 | 2.0 | 16 | 0.6216 | 0.7083 |
| 0.7831 | 3.0 | 24 | 0.5972 | 0.7417 |
### Framework versions
- Transformers 4.32.1
- Pytorch 2.0.1+cu118
- Datasets 2.14.4
- Tokenizers 0.13.3
|
[
"organism, being",
"benthos",
"heterotroph",
"cell",
"person, individual, someone, somebody, mortal, soul",
"animal, animate_being, beast, brute, creature, fauna",
"plant, flora, plant_life",
"food, nutrient",
"artifact, artefact",
"hop",
"check-in",
"dressage",
"curvet, vaulting",
"piaffe",
"funambulism, tightrope_walking",
"rock_climbing",
"contact_sport",
"outdoor_sport, field_sport",
"gymnastics, gymnastic_exercise",
"acrobatics, tumbling",
"track_and_field",
"track, running",
"jumping",
"broad_jump, long_jump",
"high_jump",
"fosbury_flop",
"skiing",
"cross-country_skiing",
"ski_jumping",
"water_sport, aquatics",
"swimming, swim",
"bathe",
"dip, plunge",
"dive, diving",
"floating, natation",
"dead-man's_float, prone_float",
"belly_flop, belly_flopper, belly_whop, belly_whopper",
"cliff_diving",
"flip",
"gainer, full_gainer",
"half_gainer",
"jackknife",
"swan_dive, swallow_dive",
"skin_diving, skin-dive",
"scuba_diving",
"snorkeling, snorkel_diving",
"surfing, surfboarding, surfriding",
"water-skiing",
"rowing, row",
"sculling",
"boxing, pugilism, fisticuffs",
"professional_boxing",
"in-fighting",
"fight",
"rope-a-dope",
"spar, sparring",
"archery",
"sledding",
"tobogganing",
"luging",
"bobsledding",
"wrestling, rassling, grappling",
"greco-roman_wrestling",
"professional_wrestling",
"sumo",
"skating",
"ice_skating",
"figure_skating",
"rollerblading",
"roller_skating",
"skateboarding",
"speed_skating",
"racing",
"auto_racing, car_racing",
"boat_racing",
"hydroplane_racing",
"camel_racing",
"greyhound_racing",
"horse_racing",
"riding, horseback_riding, equitation",
"equestrian_sport",
"pony-trekking",
"showjumping, stadium_jumping",
"cross-country_riding, cross-country_jumping",
"cycling",
"bicycling",
"motorcycling",
"dune_cycling",
"blood_sport",
"bullfighting, tauromachy",
"cockfighting",
"hunt, hunting",
"battue",
"beagling",
"coursing",
"deer_hunting, deer_hunt",
"ducking, duck_hunting",
"fox_hunting, foxhunt",
"pigsticking",
"fishing, sportfishing",
"angling",
"fly-fishing",
"troll, trolling",
"casting, cast",
"bait_casting",
"fly_casting",
"overcast",
"surf_casting, surf_fishing",
"day_game",
"athletic_game",
"ice_hockey, hockey, hockey_game",
"tetherball",
"water_polo",
"outdoor_game",
"golf, golf_game",
"professional_golf",
"round_of_golf, round",
"medal_play, stroke_play",
"match_play",
"miniature_golf",
"croquet",
"quoits, horseshoes",
"shuffleboard, shovelboard",
"field_game",
"field_hockey, hockey",
"shinny, shinney",
"football, football_game",
"american_football, american_football_game",
"professional_football",
"touch_football",
"hurling",
"rugby, rugby_football, rugger",
"ball_game, ballgame",
"baseball, baseball_game",
"ball",
"professional_baseball",
"hardball",
"perfect_game",
"no-hit_game, no-hitter",
"one-hitter, 1-hitter",
"two-hitter, 2-hitter",
"three-hitter, 3-hitter",
"four-hitter, 4-hitter",
"five-hitter, 5-hitter",
"softball, softball_game",
"rounders",
"stickball, stickball_game",
"cricket",
"lacrosse",
"polo",
"pushball",
"soccer, association_football",
"court_game",
"handball",
"racquetball",
"fives",
"squash, squash_racquets, squash_rackets",
"volleyball, volleyball_game",
"jai_alai, pelota",
"badminton",
"battledore, battledore_and_shuttlecock",
"basketball, basketball_game, hoops",
"professional_basketball",
"deck_tennis",
"netball",
"tennis, lawn_tennis",
"professional_tennis",
"singles",
"singles",
"doubles",
"doubles",
"royal_tennis, real_tennis, court_tennis",
"pallone",
"sport, athletics",
"clasp, clench, clutch, clutches, grasp, grip, hold",
"judo",
"team_sport",
"last_supper, lord's_supper",
"seder, passover_supper",
"camping, encampment, bivouacking, tenting",
"pest",
"critter",
"creepy-crawly",
"darter",
"peeper",
"homeotherm, homoiotherm, homotherm",
"poikilotherm, ectotherm",
"range_animal",
"scavenger",
"bottom-feeder, bottom-dweller",
"bottom-feeder",
"work_animal",
"beast_of_burden, jument",
"draft_animal",
"pack_animal, sumpter",
"domestic_animal, domesticated_animal",
"feeder",
"feeder",
"stocker",
"hatchling",
"head",
"migrator",
"molter, moulter",
"pet",
"stayer",
"stunt",
"marine_animal, marine_creature, sea_animal, sea_creature",
"by-catch, bycatch",
"female",
"hen",
"male",
"adult",
"young, offspring",
"orphan",
"young_mammal",
"baby",
"pup, whelp",
"wolf_pup, wolf_cub",
"puppy",
"cub, young_carnivore",
"lion_cub",
"bear_cub",
"tiger_cub",
"kit",
"suckling",
"sire",
"dam",
"thoroughbred, purebred, pureblood",
"giant",
"mutant",
"carnivore",
"herbivore",
"insectivore",
"acrodont",
"pleurodont",
"microorganism, micro-organism",
"monohybrid",
"arbovirus, arborvirus",
"adenovirus",
"arenavirus",
"marburg_virus",
"arenaviridae",
"vesiculovirus",
"reoviridae",
"variola_major, variola_major_virus",
"viroid, virusoid",
"coliphage",
"paramyxovirus",
"poliovirus",
"herpes, herpes_virus",
"herpes_simplex_1, hs1, hsv-1, hsv-i",
"herpes_zoster, herpes_zoster_virus",
"herpes_varicella_zoster, herpes_varicella_zoster_virus",
"cytomegalovirus, cmv",
"varicella_zoster_virus",
"polyoma, polyoma_virus",
"lyssavirus",
"reovirus",
"rotavirus",
"moneran, moneron",
"archaebacteria, archaebacterium, archaeobacteria, archeobacteria",
"bacteroid",
"bacillus_anthracis, anthrax_bacillus",
"yersinia_pestis",
"brucella",
"spirillum, spirilla",
"botulinus, botulinum, clostridium_botulinum",
"clostridium_perfringens",
"cyanobacteria, blue-green_algae",
"trichodesmium",
"nitric_bacteria, nitrobacteria",
"spirillum",
"francisella, genus_francisella",
"gonococcus, neisseria_gonorrhoeae",
"corynebacterium_diphtheriae, c._diphtheriae, klebs-loeffler_bacillus",
"enteric_bacteria, enterobacteria, enterics, entric",
"klebsiella",
"salmonella_typhimurium",
"typhoid_bacillus, salmonella_typhosa, salmonella_typhi",
"nitrate_bacterium, nitric_bacterium",
"nitrite_bacterium, nitrous_bacterium",
"actinomycete",
"streptomyces",
"streptomyces_erythreus",
"streptomyces_griseus",
"tubercle_bacillus, mycobacterium_tuberculosis",
"pus-forming_bacteria",
"streptobacillus",
"myxobacteria, myxobacterium, myxobacter, gliding_bacteria, slime_bacteria",
"staphylococcus, staphylococci, staph",
"diplococcus",
"pneumococcus, diplococcus_pneumoniae",
"streptococcus, streptococci, strep",
"spirochete, spirochaete",
"planktonic_algae",
"zooplankton",
"parasite",
"endoparasite, entoparasite, entozoan, entozoon, endozoan",
"ectoparasite, ectozoan, ectozoon, epizoan, epizoon",
"pathogen",
"commensal",
"myrmecophile",
"protoctist",
"protozoan, protozoon",
"sarcodinian, sarcodine",
"heliozoan",
"endameba",
"ameba, amoeba",
"globigerina",
"testacean",
"arcella",
"difflugia",
"ciliate, ciliated_protozoan, ciliophoran",
"paramecium, paramecia",
"stentor",
"alga, algae",
"arame",
"seagrass",
"golden_algae",
"yellow-green_algae",
"brown_algae",
"kelp",
"fucoid, fucoid_algae",
"fucoid",
"fucus",
"bladderwrack, ascophyllum_nodosum",
"green_algae, chlorophyte",
"pond_scum",
"chlorella",
"stonewort",
"desmid",
"sea_moss",
"eukaryote, eucaryote",
"prokaryote, procaryote",
"zooid",
"leishmania, genus_leishmania",
"zoomastigote, zooflagellate",
"polymastigote",
"costia, costia_necatrix",
"giardia",
"cryptomonad, cryptophyte",
"sporozoan",
"sporozoite",
"trophozoite",
"merozoite",
"coccidium, eimeria",
"gregarine",
"plasmodium, plasmodium_vivax, malaria_parasite",
"leucocytozoan, leucocytozoon",
"microsporidian",
"ostariophysi, order_ostariophysi",
"cypriniform_fish",
"loach",
"cyprinid, cyprinid_fish",
"carp",
"domestic_carp, cyprinus_carpio",
"leather_carp",
"mirror_carp",
"european_bream, abramis_brama",
"tench, tinca_tinca",
"dace, leuciscus_leuciscus",
"chub, leuciscus_cephalus",
"shiner",
"common_shiner, silversides, notropis_cornutus",
"roach, rutilus_rutilus",
"rudd, scardinius_erythrophthalmus",
"minnow, phoxinus_phoxinus",
"gudgeon, gobio_gobio",
"goldfish, carassius_auratus",
"crucian_carp, carassius_carassius, carassius_vulgaris",
"electric_eel, electrophorus_electric",
"catostomid",
"buffalo_fish, buffalofish",
"black_buffalo, ictiobus_niger",
"hog_sucker, hog_molly, hypentelium_nigricans",
"redhorse, redhorse_sucker",
"cyprinodont",
"killifish",
"mummichog, fundulus_heteroclitus",
"striped_killifish, mayfish, may_fish, fundulus_majalis",
"rivulus",
"flagfish, american_flagfish, jordanella_floridae",
"swordtail, helleri, topminnow, xyphophorus_helleri",
"guppy, rainbow_fish, lebistes_reticulatus",
"topminnow, poeciliid_fish, poeciliid, live-bearer",
"mosquitofish, gambusia_affinis",
"platy, platypoecilus_maculatus",
"mollie, molly",
"squirrelfish",
"reef_squirrelfish, holocentrus_coruscus",
"deepwater_squirrelfish, holocentrus_bullisi",
"holocentrus_ascensionis",
"soldierfish, soldier-fish",
"anomalops, flashlight_fish",
"flashlight_fish, photoblepharon_palpebratus",
"john_dory, zeus_faber",
"boarfish, capros_aper",
"boarfish",
"cornetfish",
"stickleback, prickleback",
"three-spined_stickleback, gasterosteus_aculeatus",
"ten-spined_stickleback, gasterosteus_pungitius",
"pipefish, needlefish",
"dwarf_pipefish, syngnathus_hildebrandi",
"deepwater_pipefish, cosmocampus_profundus",
"seahorse, sea_horse",
"snipefish, bellows_fish",
"shrimpfish, shrimp-fish",
"trumpetfish, aulostomus_maculatus",
"pellicle",
"embryo, conceptus, fertilized_egg",
"fetus, foetus",
"abortus",
"spawn",
"blastula, blastosphere",
"blastocyst, blastodermic_vessicle",
"gastrula",
"morula",
"yolk, vitellus",
"chordate",
"cephalochordate",
"lancelet, amphioxus",
"tunicate, urochordate, urochord",
"ascidian",
"sea_squirt",
"salp, salpa",
"doliolum",
"larvacean",
"appendicularia",
"ascidian_tadpole",
"vertebrate, craniate",
"amniota",
"amniote",
"aquatic_vertebrate",
"jawless_vertebrate, jawless_fish, agnathan",
"ostracoderm",
"heterostracan",
"anaspid",
"conodont",
"cyclostome",
"lamprey, lamprey_eel, lamper_eel",
"sea_lamprey, petromyzon_marinus",
"hagfish, hag, slime_eels",
"myxine_glutinosa",
"eptatretus",
"gnathostome",
"placoderm",
"cartilaginous_fish, chondrichthian",
"holocephalan, holocephalian",
"chimaera",
"rabbitfish, chimaera_monstrosa",
"elasmobranch, selachian",
"shark",
"cow_shark, six-gilled_shark, hexanchus_griseus",
"mackerel_shark",
"porbeagle, lamna_nasus",
"mako, mako_shark",
"shortfin_mako, isurus_oxyrhincus",
"longfin_mako, isurus_paucus",
"bonito_shark, blue_pointed, isurus_glaucus",
"great_white_shark, white_shark, man-eater, man-eating_shark, carcharodon_carcharias",
"basking_shark, cetorhinus_maximus",
"thresher, thrasher, thresher_shark, fox_shark, alopius_vulpinus",
"carpet_shark, orectolobus_barbatus",
"nurse_shark, ginglymostoma_cirratum",
"sand_tiger, sand_shark, carcharias_taurus, odontaspis_taurus",
"whale_shark, rhincodon_typus",
"requiem_shark",
"bull_shark, cub_shark, carcharhinus_leucas",
"sandbar_shark, carcharhinus_plumbeus",
"blacktip_shark, sandbar_shark, carcharhinus_limbatus",
"whitetip_shark, oceanic_whitetip_shark, white-tipped_shark, carcharinus_longimanus",
"dusky_shark, carcharhinus_obscurus",
"lemon_shark, negaprion_brevirostris",
"blue_shark, great_blue_shark, prionace_glauca",
"tiger_shark, galeocerdo_cuvieri",
"soupfin_shark, soupfin, soup-fin, galeorhinus_zyopterus",
"dogfish",
"smooth_dogfish",
"smoothhound, smoothhound_shark, mustelus_mustelus",
"american_smooth_dogfish, mustelus_canis",
"florida_smoothhound, mustelus_norrisi",
"whitetip_shark, reef_whitetip_shark, triaenodon_obseus",
"spiny_dogfish",
"atlantic_spiny_dogfish, squalus_acanthias",
"pacific_spiny_dogfish, squalus_suckleyi",
"hammerhead, hammerhead_shark",
"smooth_hammerhead, sphyrna_zygaena",
"smalleye_hammerhead, sphyrna_tudes",
"shovelhead, bonnethead, bonnet_shark, sphyrna_tiburo",
"angel_shark, angelfish, squatina_squatina, monkfish",
"ray",
"electric_ray, crampfish, numbfish, torpedo",
"sawfish",
"smalltooth_sawfish, pristis_pectinatus",
"guitarfish",
"stingray",
"roughtail_stingray, dasyatis_centroura",
"butterfly_ray",
"eagle_ray",
"spotted_eagle_ray, spotted_ray, aetobatus_narinari",
"cownose_ray, cow-nosed_ray, rhinoptera_bonasus",
"manta, manta_ray, devilfish",
"atlantic_manta, manta_birostris",
"devil_ray, mobula_hypostoma",
"skate",
"grey_skate, gray_skate, raja_batis",
"little_skate, raja_erinacea",
"thorny_skate, raja_radiata",
"barndoor_skate, raja_laevis",
"bird",
"dickeybird, dickey-bird, dickybird, dicky-bird",
"fledgling, fledgeling",
"nestling, baby_bird",
"cock",
"gamecock, fighting_cock",
"hen",
"nester",
"night_bird",
"night_raven",
"bird_of_passage",
"archaeopteryx, archeopteryx, archaeopteryx_lithographica",
"archaeornis",
"ratite, ratite_bird, flightless_bird",
"carinate, carinate_bird, flying_bird",
"ostrich, struthio_camelus",
"cassowary",
"emu, dromaius_novaehollandiae, emu_novaehollandiae",
"kiwi, apteryx",
"rhea, rhea_americana",
"rhea, nandu, pterocnemia_pennata",
"elephant_bird, aepyornis",
"moa",
"passerine, passeriform_bird",
"nonpasserine_bird",
"oscine, oscine_bird",
"songbird, songster",
"honey_eater, honeysucker",
"accentor",
"hedge_sparrow, sparrow, dunnock, prunella_modularis",
"lark",
"skylark, alauda_arvensis",
"wagtail",
"pipit, titlark, lark",
"meadow_pipit, anthus_pratensis",
"finch",
"chaffinch, fringilla_coelebs",
"brambling, fringilla_montifringilla",
"goldfinch, carduelis_carduelis",
"linnet, lintwhite, carduelis_cannabina",
"siskin, carduelis_spinus",
"red_siskin, carduelis_cucullata",
"redpoll, carduelis_flammea",
"redpoll, carduelis_hornemanni",
"new_world_goldfinch, goldfinch, yellowbird, spinus_tristis",
"pine_siskin, pine_finch, spinus_pinus",
"house_finch, linnet, carpodacus_mexicanus",
"purple_finch, carpodacus_purpureus",
"canary, canary_bird",
"common_canary, serinus_canaria",
"serin",
"crossbill, loxia_curvirostra",
"bullfinch, pyrrhula_pyrrhula",
"junco, snowbird",
"dark-eyed_junco, slate-colored_junco, junco_hyemalis",
"new_world_sparrow",
"vesper_sparrow, grass_finch, pooecetes_gramineus",
"white-throated_sparrow, whitethroat, zonotrichia_albicollis",
"white-crowned_sparrow, zonotrichia_leucophrys",
"chipping_sparrow, spizella_passerina",
"field_sparrow, spizella_pusilla",
"tree_sparrow, spizella_arborea",
"song_sparrow, melospiza_melodia",
"swamp_sparrow, melospiza_georgiana",
"bunting",
"indigo_bunting, indigo_finch, indigo_bird, passerina_cyanea",
"ortolan, ortolan_bunting, emberiza_hortulana",
"reed_bunting, emberiza_schoeniclus",
"yellowhammer, yellow_bunting, emberiza_citrinella",
"yellow-breasted_bunting, emberiza_aureola",
"snow_bunting, snowbird, snowflake, plectrophenax_nivalis",
"honeycreeper",
"banana_quit",
"sparrow, true_sparrow",
"english_sparrow, house_sparrow, passer_domesticus",
"tree_sparrow, passer_montanus",
"grosbeak, grossbeak",
"evening_grosbeak, hesperiphona_vespertina",
"hawfinch, coccothraustes_coccothraustes",
"pine_grosbeak, pinicola_enucleator",
"cardinal, cardinal_grosbeak, richmondena_cardinalis, cardinalis_cardinalis, redbird",
"pyrrhuloxia, pyrrhuloxia_sinuata",
"towhee",
"chewink, cheewink, pipilo_erythrophthalmus",
"green-tailed_towhee, chlorura_chlorura",
"weaver, weaverbird, weaver_finch",
"baya, ploceus_philippinus",
"whydah, whidah, widow_bird",
"java_sparrow, java_finch, ricebird, padda_oryzivora",
"avadavat, amadavat",
"grassfinch, grass_finch",
"zebra_finch, poephila_castanotis",
"honeycreeper, hawaiian_honeycreeper",
"lyrebird",
"scrubbird, scrub-bird, scrub_bird",
"broadbill",
"tyrannid",
"new_world_flycatcher, flycatcher, tyrant_flycatcher, tyrant_bird",
"kingbird, tyrannus_tyrannus",
"arkansas_kingbird, western_kingbird",
"cassin's_kingbird, tyrannus_vociferans",
"eastern_kingbird",
"grey_kingbird, gray_kingbird, petchary, tyrannus_domenicensis_domenicensis",
"pewee, peewee, peewit, pewit, wood_pewee, contopus_virens",
"western_wood_pewee, contopus_sordidulus",
"phoebe, phoebe_bird, sayornis_phoebe",
"vermillion_flycatcher, firebird, pyrocephalus_rubinus_mexicanus",
"cotinga, chatterer",
"cock_of_the_rock, rupicola_rupicola",
"cock_of_the_rock, rupicola_peruviana",
"manakin",
"bellbird",
"umbrella_bird, cephalopterus_ornatus",
"ovenbird",
"antbird, ant_bird",
"ant_thrush",
"ant_shrike",
"spotted_antbird, hylophylax_naevioides",
"woodhewer, woodcreeper, wood-creeper, tree_creeper",
"pitta",
"scissortail, scissortailed_flycatcher, muscivora-forficata",
"old_world_flycatcher, true_flycatcher, flycatcher",
"spotted_flycatcher, muscicapa_striata, muscicapa_grisola",
"thickhead, whistler",
"thrush",
"missel_thrush, mistle_thrush, mistletoe_thrush, turdus_viscivorus",
"song_thrush, mavis, throstle, turdus_philomelos",
"fieldfare, snowbird, turdus_pilaris",
"redwing, turdus_iliacus",
"blackbird, merl, merle, ouzel, ousel, european_blackbird, turdus_merula",
"ring_ouzel, ring_blackbird, ring_thrush, turdus_torquatus",
"robin, american_robin, turdus_migratorius",
"clay-colored_robin, turdus_greyi",
"hermit_thrush, hylocichla_guttata",
"veery, wilson's_thrush, hylocichla_fuscescens",
"wood_thrush, hylocichla_mustelina",
"nightingale, luscinia_megarhynchos",
"thrush_nightingale, luscinia_luscinia",
"bulbul",
"old_world_chat, chat",
"stonechat, saxicola_torquata",
"whinchat, saxicola_rubetra",
"solitaire",
"redstart, redtail",
"wheatear",
"bluebird",
"robin, redbreast, robin_redbreast, old_world_robin, erithacus_rubecola",
"bluethroat, erithacus_svecicus",
"warbler",
"gnatcatcher",
"kinglet",
"goldcrest, golden-crested_kinglet, regulus_regulus",
"gold-crowned_kinglet, regulus_satrata",
"ruby-crowned_kinglet, ruby-crowned_wren, regulus_calendula",
"old_world_warbler, true_warbler",
"blackcap, silvia_atricapilla",
"greater_whitethroat, whitethroat, sylvia_communis",
"lesser_whitethroat, whitethroat, sylvia_curruca",
"wood_warbler, phylloscopus_sibilatrix",
"sedge_warbler, sedge_bird, sedge_wren, reedbird, acrocephalus_schoenobaenus",
"wren_warbler",
"tailorbird, orthotomus_sutorius",
"babbler, cackler",
"new_world_warbler, wood_warbler",
"parula_warbler, northern_parula, parula_americana",
"wilson's_warbler, wilson's_blackcap, wilsonia_pusilla",
"flycatching_warbler",
"american_redstart, redstart, setophaga_ruticilla",
"cape_may_warbler, dendroica_tigrina",
"yellow_warbler, golden_warbler, yellowbird, dendroica_petechia",
"blackburn, blackburnian_warbler, dendroica_fusca",
"audubon's_warbler, audubon_warbler, dendroica_auduboni",
"myrtle_warbler, myrtle_bird, dendroica_coronata",
"blackpoll, dendroica_striate",
"new_world_chat, chat",
"yellow-breasted_chat, icteria_virens",
"ovenbird, seiurus_aurocapillus",
"water_thrush",
"yellowthroat",
"common_yellowthroat, maryland_yellowthroat, geothlypis_trichas",
"riflebird, ptloris_paradisea",
"new_world_oriole, american_oriole, oriole",
"northern_oriole, icterus_galbula",
"baltimore_oriole, baltimore_bird, hangbird, firebird, icterus_galbula_galbula",
"bullock's_oriole, icterus_galbula_bullockii",
"orchard_oriole, icterus_spurius",
"meadowlark, lark",
"eastern_meadowlark, sturnella_magna",
"western_meadowlark, sturnella_neglecta",
"cacique, cazique",
"bobolink, ricebird, reedbird, dolichonyx_oryzivorus",
"new_world_blackbird, blackbird",
"grackle, crow_blackbird",
"purple_grackle, quiscalus_quiscula",
"rusty_blackbird, rusty_grackle, euphagus_carilonus",
"cowbird",
"red-winged_blackbird, redwing, agelaius_phoeniceus",
"old_world_oriole, oriole",
"golden_oriole, oriolus_oriolus",
"fig-bird",
"starling",
"common_starling, sturnus_vulgaris",
"rose-colored_starling, rose-colored_pastor, pastor_sturnus, pastor_roseus",
"myna, mynah, mina, minah, myna_bird, mynah_bird",
"crested_myna, acridotheres_tristis",
"hill_myna, indian_grackle, grackle, gracula_religiosa",
"corvine_bird",
"crow",
"american_crow, corvus_brachyrhyncos",
"raven, corvus_corax",
"rook, corvus_frugilegus",
"jackdaw, daw, corvus_monedula",
"chough",
"jay",
"old_world_jay",
"common_european_jay, garullus_garullus",
"new_world_jay",
"blue_jay, jaybird, cyanocitta_cristata",
"canada_jay, grey_jay, gray_jay, camp_robber, whisker_jack, perisoreus_canadensis",
"rocky_mountain_jay, perisoreus_canadensis_capitalis",
"nutcracker",
"common_nutcracker, nucifraga_caryocatactes",
"clark's_nutcracker, nucifraga_columbiana",
"magpie",
"european_magpie, pica_pica",
"american_magpie, pica_pica_hudsonia",
"australian_magpie",
"butcherbird",
"currawong, bell_magpie",
"piping_crow, piping_crow-shrike, gymnorhina_tibicen",
"wren, jenny_wren",
"winter_wren, troglodytes_troglodytes",
"house_wren, troglodytes_aedon",
"marsh_wren",
"long-billed_marsh_wren, cistothorus_palustris",
"sedge_wren, short-billed_marsh_wren, cistothorus_platensis",
"rock_wren, salpinctes_obsoletus",
"carolina_wren, thryothorus_ludovicianus",
"cactus_wren",
"mockingbird, mocker, mimus_polyglotktos",
"blue_mockingbird, melanotis_caerulescens",
"catbird, grey_catbird, gray_catbird, dumetella_carolinensis",
"thrasher, mocking_thrush",
"brown_thrasher, brown_thrush, toxostoma_rufums",
"new_zealand_wren",
"rock_wren, xenicus_gilviventris",
"rifleman_bird, acanthisitta_chloris",
"creeper, tree_creeper",
"brown_creeper, american_creeper, certhia_americana",
"european_creeper, certhia_familiaris",
"wall_creeper, tichodrome, tichodroma_muriaria",
"european_nuthatch, sitta_europaea",
"red-breasted_nuthatch, sitta_canadensis",
"white-breasted_nuthatch, sitta_carolinensis",
"titmouse, tit",
"chickadee",
"black-capped_chickadee, blackcap, parus_atricapillus",
"tufted_titmouse, parus_bicolor",
"carolina_chickadee, parus_carolinensis",
"blue_tit, tomtit, parus_caeruleus",
"bushtit, bush_tit",
"wren-tit, chamaea_fasciata",
"verdin, auriparus_flaviceps",
"fairy_bluebird, bluebird",
"swallow",
"barn_swallow, chimney_swallow, hirundo_rustica",
"cliff_swallow, hirundo_pyrrhonota",
"tree_swallow, tree_martin, hirundo_nigricans",
"white-bellied_swallow, tree_swallow, iridoprocne_bicolor",
"martin",
"house_martin, delichon_urbica",
"bank_martin, bank_swallow, sand_martin, riparia_riparia",
"purple_martin, progne_subis",
"wood_swallow, swallow_shrike",
"tanager",
"scarlet_tanager, piranga_olivacea, redbird, firebird",
"western_tanager, piranga_ludoviciana",
"summer_tanager, summer_redbird, piranga_rubra",
"hepatic_tanager, piranga_flava_hepatica",
"shrike",
"butcherbird",
"european_shrike, lanius_excubitor",
"northern_shrike, lanius_borealis",
"white-rumped_shrike, lanius_ludovicianus_excubitorides",
"loggerhead_shrike, lanius_lucovicianus",
"migrant_shrike, lanius_ludovicianus_migrans",
"bush_shrike",
"black-fronted_bush_shrike, chlorophoneus_nigrifrons",
"bowerbird, catbird",
"satin_bowerbird, satin_bird, ptilonorhynchus_violaceus",
"great_bowerbird, chlamydera_nuchalis",
"water_ouzel, dipper",
"european_water_ouzel, cinclus_aquaticus",
"american_water_ouzel, cinclus_mexicanus",
"vireo",
"red-eyed_vireo, vireo_olivaceous",
"solitary_vireo, vireo_solitarius",
"blue-headed_vireo, vireo_solitarius_solitarius",
"waxwing",
"cedar_waxwing, cedarbird, bombycilla_cedrorun",
"bohemian_waxwing, bombycilla_garrulus",
"bird_of_prey, raptor, raptorial_bird",
"accipitriformes, order_accipitriformes",
"hawk",
"eyas",
"tiercel, tercel, tercelet",
"goshawk, accipiter_gentilis",
"sparrow_hawk, accipiter_nisus",
"cooper's_hawk, blue_darter, accipiter_cooperii",
"chicken_hawk, hen_hawk",
"buteonine",
"redtail, red-tailed_hawk, buteo_jamaicensis",
"rough-legged_hawk, roughleg, buteo_lagopus",
"red-shouldered_hawk, buteo_lineatus",
"buzzard, buteo_buteo",
"honey_buzzard, pernis_apivorus",
"kite",
"black_kite, milvus_migrans",
"swallow-tailed_kite, swallow-tailed_hawk, elanoides_forficatus",
"white-tailed_kite, elanus_leucurus",
"harrier",
"marsh_harrier, circus_aeruginosus",
"montagu's_harrier, circus_pygargus",
"marsh_hawk, northern_harrier, hen_harrier, circus_cyaneus",
"harrier_eagle, short-toed_eagle",
"falcon",
"peregrine, peregrine_falcon, falco_peregrinus",
"falcon-gentle, falcon-gentil",
"gyrfalcon, gerfalcon, falco_rusticolus",
"kestrel, falco_tinnunculus",
"sparrow_hawk, american_kestrel, kestrel, falco_sparverius",
"pigeon_hawk, merlin, falco_columbarius",
"hobby, falco_subbuteo",
"caracara",
"audubon's_caracara, polyborus_cheriway_audubonii",
"carancha, polyborus_plancus",
"eagle, bird_of_jove",
"young_bird",
"eaglet",
"harpy, harpy_eagle, harpia_harpyja",
"golden_eagle, aquila_chrysaetos",
"tawny_eagle, aquila_rapax",
"bald_eagle, american_eagle, haliaeetus_leucocephalus",
"sea_eagle",
"kamchatkan_sea_eagle, stellar's_sea_eagle, haliaeetus_pelagicus",
"ern, erne, grey_sea_eagle, gray_sea_eagle, european_sea_eagle, white-tailed_sea_eagle, haliatus_albicilla",
"fishing_eagle, haliaeetus_leucorhyphus",
"osprey, fish_hawk, fish_eagle, sea_eagle, pandion_haliaetus",
"vulture",
"aegypiidae, family_aegypiidae",
"old_world_vulture",
"griffon_vulture, griffon, gyps_fulvus",
"bearded_vulture, lammergeier, lammergeyer, gypaetus_barbatus",
"egyptian_vulture, pharaoh's_chicken, neophron_percnopterus",
"black_vulture, aegypius_monachus",
"secretary_bird, sagittarius_serpentarius",
"new_world_vulture, cathartid",
"buzzard, turkey_buzzard, turkey_vulture, cathartes_aura",
"condor",
"andean_condor, vultur_gryphus",
"california_condor, gymnogyps_californianus",
"black_vulture, carrion_crow, coragyps_atratus",
"king_vulture, sarcorhamphus_papa",
"owl, bird_of_minerva, bird_of_night, hooter",
"owlet",
"little_owl, athene_noctua",
"horned_owl",
"great_horned_owl, bubo_virginianus",
"great_grey_owl, great_gray_owl, strix_nebulosa",
"tawny_owl, strix_aluco",
"barred_owl, strix_varia",
"screech_owl, otus_asio",
"screech_owl",
"scops_owl",
"spotted_owl, strix_occidentalis",
"old_world_scops_owl, otus_scops",
"oriental_scops_owl, otus_sunia",
"hoot_owl",
"hawk_owl, surnia_ulula",
"long-eared_owl, asio_otus",
"laughing_owl, laughing_jackass, sceloglaux_albifacies",
"barn_owl, tyto_alba",
"amphibian",
"ichyostega",
"urodele, caudate",
"salamander",
"european_fire_salamander, salamandra_salamandra",
"spotted_salamander, fire_salamander, salamandra_maculosa",
"alpine_salamander, salamandra_atra",
"newt, triton",
"common_newt, triturus_vulgaris",
"red_eft, notophthalmus_viridescens",
"pacific_newt",
"rough-skinned_newt, taricha_granulosa",
"california_newt, taricha_torosa",
"eft",
"ambystomid, ambystomid_salamander",
"mole_salamander, ambystoma_talpoideum",
"spotted_salamander, ambystoma_maculatum",
"tiger_salamander, ambystoma_tigrinum",
"axolotl, mud_puppy, ambystoma_mexicanum",
"waterdog",
"hellbender, mud_puppy, cryptobranchus_alleganiensis",
"giant_salamander, megalobatrachus_maximus",
"olm, proteus_anguinus",
"mud_puppy, necturus_maculosus",
"dicamptodon, dicamptodontid",
"pacific_giant_salamander, dicamptodon_ensatus",
"olympic_salamander, rhyacotriton_olympicus",
"lungless_salamander, plethodont",
"eastern_red-backed_salamander, plethodon_cinereus",
"western_red-backed_salamander, plethodon_vehiculum",
"dusky_salamander",
"climbing_salamander",
"arboreal_salamander, aneides_lugubris",
"slender_salamander, worm_salamander",
"web-toed_salamander",
"shasta_salamander, hydromantes_shastae",
"limestone_salamander, hydromantes_brunus",
"amphiuma, congo_snake, congo_eel, blind_eel",
"siren",
"frog, toad, toad_frog, anuran, batrachian, salientian",
"true_frog, ranid",
"wood-frog, wood_frog, rana_sylvatica",
"leopard_frog, spring_frog, rana_pipiens",
"bullfrog, rana_catesbeiana",
"green_frog, spring_frog, rana_clamitans",
"cascades_frog, rana_cascadae",
"goliath_frog, rana_goliath",
"pickerel_frog, rana_palustris",
"tarahumara_frog, rana_tarahumarae",
"grass_frog, rana_temporaria",
"leptodactylid_frog, leptodactylid",
"robber_frog",
"barking_frog, robber_frog, hylactophryne_augusti",
"crapaud, south_american_bullfrog, leptodactylus_pentadactylus",
"tree_frog, tree-frog",
"tailed_frog, bell_toad, ribbed_toad, tailed_toad, ascaphus_trui",
"liopelma_hamiltoni",
"true_toad",
"bufo",
"agua, agua_toad, bufo_marinus",
"european_toad, bufo_bufo",
"natterjack, bufo_calamita",
"american_toad, bufo_americanus",
"eurasian_green_toad, bufo_viridis",
"american_green_toad, bufo_debilis",
"yosemite_toad, bufo_canorus",
"texas_toad, bufo_speciosus",
"southwestern_toad, bufo_microscaphus",
"western_toad, bufo_boreas",
"obstetrical_toad, midwife_toad, alytes_obstetricans",
"midwife_toad, alytes_cisternasi",
"fire-bellied_toad, bombina_bombina",
"spadefoot, spadefoot_toad",
"western_spadefoot, scaphiopus_hammondii",
"southern_spadefoot, scaphiopus_multiplicatus",
"plains_spadefoot, scaphiopus_bombifrons",
"tree_toad, tree_frog, tree-frog",
"spring_peeper, hyla_crucifer",
"pacific_tree_toad, hyla_regilla",
"canyon_treefrog, hyla_arenicolor",
"chameleon_tree_frog",
"cricket_frog",
"northern_cricket_frog, acris_crepitans",
"eastern_cricket_frog, acris_gryllus",
"chorus_frog",
"lowland_burrowing_treefrog, northern_casque-headed_frog, pternohyla_fodiens",
"western_narrow-mouthed_toad, gastrophryne_olivacea",
"eastern_narrow-mouthed_toad, gastrophryne_carolinensis",
"sheep_frog",
"tongueless_frog",
"surinam_toad, pipa_pipa, pipa_americana",
"african_clawed_frog, xenopus_laevis",
"south_american_poison_toad",
"caecilian, blindworm",
"reptile, reptilian",
"anapsid, anapsid_reptile",
"diapsid, diapsid_reptile",
"diapsida, subclass_diapsida",
"chelonian, chelonian_reptile",
"turtle",
"sea_turtle, marine_turtle",
"green_turtle, chelonia_mydas",
"loggerhead, loggerhead_turtle, caretta_caretta",
"ridley",
"atlantic_ridley, bastard_ridley, bastard_turtle, lepidochelys_kempii",
"pacific_ridley, olive_ridley, lepidochelys_olivacea",
"hawksbill_turtle, hawksbill, hawkbill, tortoiseshell_turtle, eretmochelys_imbricata",
"leatherback_turtle, leatherback, leathery_turtle, dermochelys_coriacea",
"snapping_turtle",
"common_snapping_turtle, snapper, chelydra_serpentina",
"alligator_snapping_turtle, alligator_snapper, macroclemys_temmincki",
"mud_turtle",
"musk_turtle, stinkpot",
"terrapin",
"diamondback_terrapin, malaclemys_centrata",
"red-bellied_terrapin, red-bellied_turtle, redbelly, pseudemys_rubriventris",
"slider, yellow-bellied_terrapin, pseudemys_scripta",
"cooter, river_cooter, pseudemys_concinna",
"box_turtle, box_tortoise",
"western_box_turtle, terrapene_ornata",
"painted_turtle, painted_terrapin, painted_tortoise, chrysemys_picta",
"tortoise",
"european_tortoise, testudo_graeca",
"giant_tortoise",
"gopher_tortoise, gopher_turtle, gopher, gopherus_polypemus",
"desert_tortoise, gopherus_agassizii",
"texas_tortoise",
"soft-shelled_turtle, pancake_turtle",
"spiny_softshell, trionyx_spiniferus",
"smooth_softshell, trionyx_muticus",
"tuatara, sphenodon_punctatum",
"saurian",
"lizard",
"gecko",
"flying_gecko, fringed_gecko, ptychozoon_homalocephalum",
"banded_gecko",
"iguanid, iguanid_lizard",
"common_iguana, iguana, iguana_iguana",
"marine_iguana, amblyrhynchus_cristatus",
"desert_iguana, dipsosaurus_dorsalis",
"chuckwalla, sauromalus_obesus",
"zebra-tailed_lizard, gridiron-tailed_lizard, callisaurus_draconoides",
"fringe-toed_lizard, uma_notata",
"earless_lizard",
"collared_lizard",
"leopard_lizard",
"spiny_lizard",
"fence_lizard",
"western_fence_lizard, swift, blue-belly, sceloporus_occidentalis",
"eastern_fence_lizard, pine_lizard, sceloporus_undulatus",
"sagebrush_lizard, sceloporus_graciosus",
"side-blotched_lizard, sand_lizard, uta_stansburiana",
"tree_lizard, urosaurus_ornatus",
"horned_lizard, horned_toad, horny_frog",
"texas_horned_lizard, phrynosoma_cornutum",
"basilisk",
"american_chameleon, anole, anolis_carolinensis",
"worm_lizard",
"night_lizard",
"skink, scincid, scincid_lizard",
"western_skink, eumeces_skiltonianus",
"mountain_skink, eumeces_callicephalus",
"teiid_lizard, teiid",
"whiptail, whiptail_lizard",
"racerunner, race_runner, six-lined_racerunner, cnemidophorus_sexlineatus",
"plateau_striped_whiptail, cnemidophorus_velox",
"chihuahuan_spotted_whiptail, cnemidophorus_exsanguis",
"western_whiptail, cnemidophorus_tigris",
"checkered_whiptail, cnemidophorus_tesselatus",
"teju",
"caiman_lizard",
"agamid, agamid_lizard",
"agama",
"frilled_lizard, chlamydosaurus_kingi",
"moloch",
"mountain_devil, spiny_lizard, moloch_horridus",
"anguid_lizard",
"alligator_lizard",
"blindworm, slowworm, anguis_fragilis",
"glass_lizard, glass_snake, joint_snake",
"legless_lizard",
"lanthanotus_borneensis",
"venomous_lizard",
"gila_monster, heloderma_suspectum",
"beaded_lizard, mexican_beaded_lizard, heloderma_horridum",
"lacertid_lizard, lacertid",
"sand_lizard, lacerta_agilis",
"green_lizard, lacerta_viridis",
"chameleon, chamaeleon",
"african_chameleon, chamaeleo_chamaeleon",
"horned_chameleon, chamaeleo_oweni",
"monitor, monitor_lizard, varan",
"african_monitor, varanus_niloticus",
"komodo_dragon, komodo_lizard, dragon_lizard, giant_lizard, varanus_komodoensis",
"crocodilian_reptile, crocodilian",
"crocodile",
"african_crocodile, nile_crocodile, crocodylus_niloticus",
"asian_crocodile, crocodylus_porosus",
"morlett's_crocodile",
"false_gavial, tomistoma_schlegeli",
"alligator, gator",
"american_alligator, alligator_mississipiensis",
"chinese_alligator, alligator_sinensis",
"caiman, cayman",
"spectacled_caiman, caiman_sclerops",
"gavial, gavialis_gangeticus",
"armored_dinosaur",
"stegosaur, stegosaurus, stegosaur_stenops",
"ankylosaur, ankylosaurus",
"edmontonia",
"bone-headed_dinosaur",
"pachycephalosaur, pachycephalosaurus",
"ceratopsian, horned_dinosaur",
"protoceratops",
"triceratops",
"styracosaur, styracosaurus",
"psittacosaur, psittacosaurus",
"ornithopod, ornithopod_dinosaur",
"hadrosaur, hadrosaurus, duck-billed_dinosaur",
"trachodon, trachodont",
"saurischian, saurischian_dinosaur",
"sauropod, sauropod_dinosaur",
"apatosaur, apatosaurus, brontosaur, brontosaurus, thunder_lizard, apatosaurus_excelsus",
"barosaur, barosaurus",
"diplodocus",
"argentinosaur",
"theropod, theropod_dinosaur, bird-footed_dinosaur",
"ceratosaur, ceratosaurus",
"coelophysis",
"tyrannosaur, tyrannosaurus, tyrannosaurus_rex",
"allosaur, allosaurus",
"ornithomimid",
"maniraptor",
"oviraptorid",
"velociraptor",
"deinonychus",
"utahraptor, superslasher",
"synapsid, synapsid_reptile",
"dicynodont",
"pelycosaur",
"dimetrodon",
"pterosaur, flying_reptile",
"pterodactyl",
"ichthyosaur",
"ichthyosaurus",
"stenopterygius, stenopterygius_quadrisicissus",
"plesiosaur, plesiosaurus",
"nothosaur",
"snake, serpent, ophidian",
"colubrid_snake, colubrid",
"hoop_snake",
"thunder_snake, worm_snake, carphophis_amoenus",
"ringneck_snake, ring-necked_snake, ring_snake",
"hognose_snake, puff_adder, sand_viper",
"leaf-nosed_snake",
"green_snake, grass_snake",
"smooth_green_snake, opheodrys_vernalis",
"rough_green_snake, opheodrys_aestivus",
"green_snake",
"racer",
"blacksnake, black_racer, coluber_constrictor",
"blue_racer, coluber_constrictor_flaviventris",
"horseshoe_whipsnake, coluber_hippocrepis",
"whip-snake, whip_snake, whipsnake",
"coachwhip, coachwhip_snake, masticophis_flagellum",
"california_whipsnake, striped_racer, masticophis_lateralis",
"sonoran_whipsnake, masticophis_bilineatus",
"rat_snake",
"corn_snake, red_rat_snake, elaphe_guttata",
"black_rat_snake, blacksnake, pilot_blacksnake, mountain_blacksnake, elaphe_obsoleta",
"chicken_snake",
"indian_rat_snake, ptyas_mucosus",
"glossy_snake, arizona_elegans",
"bull_snake, bull-snake",
"gopher_snake, pituophis_melanoleucus",
"pine_snake",
"king_snake, kingsnake",
"common_kingsnake, lampropeltis_getulus",
"milk_snake, house_snake, milk_adder, checkered_adder, lampropeltis_triangulum",
"garter_snake, grass_snake",
"common_garter_snake, thamnophis_sirtalis",
"ribbon_snake, thamnophis_sauritus",
"western_ribbon_snake, thamnophis_proximus",
"lined_snake, tropidoclonion_lineatum",
"ground_snake, sonora_semiannulata",
"eastern_ground_snake, potamophis_striatula, haldea_striatula",
"water_snake",
"common_water_snake, banded_water_snake, natrix_sipedon, nerodia_sipedon",
"water_moccasin",
"grass_snake, ring_snake, ringed_snake, natrix_natrix",
"viperine_grass_snake, natrix_maura",
"red-bellied_snake, storeria_occipitamaculata",
"sand_snake",
"banded_sand_snake, chilomeniscus_cinctus",
"black-headed_snake",
"vine_snake",
"lyre_snake",
"sonoran_lyre_snake, trimorphodon_lambda",
"night_snake, hypsiglena_torquata",
"blind_snake, worm_snake",
"western_blind_snake, leptotyphlops_humilis",
"indigo_snake, gopher_snake, drymarchon_corais",
"eastern_indigo_snake, drymarchon_corais_couperi",
"constrictor",
"boa",
"boa_constrictor, constrictor_constrictor",
"rubber_boa, tow-headed_snake, charina_bottae",
"rosy_boa, lichanura_trivirgata",
"anaconda, eunectes_murinus",
"python",
"carpet_snake, python_variegatus, morelia_spilotes_variegatus",
"reticulated_python, python_reticulatus",
"indian_python, python_molurus",
"rock_python, rock_snake, python_sebae",
"amethystine_python",
"elapid, elapid_snake",
"coral_snake, harlequin-snake, new_world_coral_snake",
"eastern_coral_snake, micrurus_fulvius",
"western_coral_snake, micruroides_euryxanthus",
"coral_snake, old_world_coral_snake",
"african_coral_snake, aspidelaps_lubricus",
"australian_coral_snake, rhynchoelaps_australis",
"copperhead, denisonia_superba",
"cobra",
"indian_cobra, naja_naja",
"asp, egyptian_cobra, naja_haje",
"black-necked_cobra, spitting_cobra, naja_nigricollis",
"hamadryad, king_cobra, ophiophagus_hannah, naja_hannah",
"ringhals, rinkhals, spitting_snake, hemachatus_haemachatus",
"mamba",
"black_mamba, dendroaspis_augusticeps",
"green_mamba",
"death_adder, acanthophis_antarcticus",
"tiger_snake, notechis_scutatus",
"australian_blacksnake, pseudechis_porphyriacus",
"krait",
"banded_krait, banded_adder, bungarus_fasciatus",
"taipan, oxyuranus_scutellatus",
"sea_snake",
"viper",
"adder, common_viper, vipera_berus",
"asp, asp_viper, vipera_aspis",
"puff_adder, bitis_arietans",
"gaboon_viper, bitis_gabonica",
"horned_viper, cerastes, sand_viper, horned_asp, cerastes_cornutus",
"pit_viper",
"copperhead, agkistrodon_contortrix",
"water_moccasin, cottonmouth, cottonmouth_moccasin, agkistrodon_piscivorus",
"rattlesnake, rattler",
"diamondback, diamondback_rattlesnake, crotalus_adamanteus",
"timber_rattlesnake, banded_rattlesnake, crotalus_horridus_horridus",
"canebrake_rattlesnake, canebrake_rattler, crotalus_horridus_atricaudatus",
"prairie_rattlesnake, prairie_rattler, western_rattlesnake, crotalus_viridis",
"sidewinder, horned_rattlesnake, crotalus_cerastes",
"western_diamondback, western_diamondback_rattlesnake, crotalus_atrox",
"rock_rattlesnake, crotalus_lepidus",
"tiger_rattlesnake, crotalus_tigris",
"mojave_rattlesnake, crotalus_scutulatus",
"speckled_rattlesnake, crotalus_mitchellii",
"massasauga, massasauga_rattler, sistrurus_catenatus",
"ground_rattler, massasauga, sistrurus_miliaris",
"fer-de-lance, bothrops_atrops",
"carcase, carcass",
"carrion",
"arthropod",
"trilobite",
"arachnid, arachnoid",
"harvestman, daddy_longlegs, phalangium_opilio",
"scorpion",
"false_scorpion, pseudoscorpion",
"book_scorpion, chelifer_cancroides",
"whip-scorpion, whip_scorpion",
"vinegarroon, mastigoproctus_giganteus",
"spider",
"orb-weaving_spider",
"black_and_gold_garden_spider, argiope_aurantia",
"barn_spider, araneus_cavaticus",
"garden_spider, aranea_diademata",
"comb-footed_spider, theridiid",
"black_widow, latrodectus_mactans",
"tarantula",
"wolf_spider, hunting_spider",
"european_wolf_spider, tarantula, lycosa_tarentula",
"trap-door_spider",
"acarine",
"tick",
"hard_tick, ixodid",
"ixodes_dammini, deer_tick",
"ixodes_neotomae",
"ixodes_pacificus, western_black-legged_tick",
"ixodes_scapularis, black-legged_tick",
"sheep-tick, sheep_tick, ixodes_ricinus",
"ixodes_persulcatus",
"ixodes_dentatus",
"ixodes_spinipalpis",
"wood_tick, american_dog_tick, dermacentor_variabilis",
"soft_tick, argasid",
"mite",
"web-spinning_mite",
"acarid",
"trombidiid",
"trombiculid",
"harvest_mite, chigger, jigger, redbug",
"acarus, genus_acarus",
"itch_mite, sarcoptid",
"rust_mite",
"spider_mite, tetranychid",
"red_spider, red_spider_mite, panonychus_ulmi",
"myriapod",
"garden_centipede, garden_symphilid, symphilid, scutigerella_immaculata",
"tardigrade",
"centipede",
"house_centipede, scutigera_coleoptrata",
"millipede, millepede, milliped",
"sea_spider, pycnogonid",
"merostomata, class_merostomata",
"horseshoe_crab, king_crab, limulus_polyphemus, xiphosurus_polyphemus",
"asian_horseshoe_crab",
"eurypterid",
"tongue_worm, pentastomid",
"gallinaceous_bird, gallinacean",
"domestic_fowl, fowl, poultry",
"dorking",
"plymouth_rock",
"cornish, cornish_fowl",
"rock_cornish",
"game_fowl",
"cochin, cochin_china",
"jungle_fowl, gallina",
"jungle_cock",
"jungle_hen",
"red_jungle_fowl, gallus_gallus",
"chicken, gallus_gallus",
"bantam",
"chick, biddy",
"cock, rooster",
"cockerel",
"capon",
"hen, biddy",
"cackler",
"brood_hen, broody, broody_hen, setting_hen, sitter",
"mother_hen",
"layer",
"pullet",
"spring_chicken",
"rhode_island_red",
"dominique, dominick",
"orpington",
"turkey, meleagris_gallopavo",
"turkey_cock, gobbler, tom, tom_turkey",
"ocellated_turkey, agriocharis_ocellata",
"grouse",
"black_grouse",
"european_black_grouse, heathfowl, lyrurus_tetrix",
"asian_black_grouse, lyrurus_mlokosiewiczi",
"blackcock, black_cock",
"greyhen, grayhen, grey_hen, gray_hen, heath_hen",
"ptarmigan",
"red_grouse, moorfowl, moorbird, moor-bird, moorgame, lagopus_scoticus",
"moorhen",
"capercaillie, capercailzie, horse_of_the_wood, tetrao_urogallus",
"spruce_grouse, canachites_canadensis",
"sage_grouse, sage_hen, centrocercus_urophasianus",
"ruffed_grouse, partridge, bonasa_umbellus",
"sharp-tailed_grouse, sprigtail, sprig_tail, pedioecetes_phasianellus",
"prairie_chicken, prairie_grouse, prairie_fowl",
"greater_prairie_chicken, tympanuchus_cupido",
"lesser_prairie_chicken, tympanuchus_pallidicinctus",
"heath_hen, tympanuchus_cupido_cupido",
"guan",
"curassow",
"piping_guan",
"chachalaca",
"texas_chachalaca, ortilis_vetula_macalli",
"megapode, mound_bird, mound-bird, mound_builder, scrub_fowl",
"mallee_fowl, leipoa, lowan, leipoa_ocellata",
"mallee_hen",
"brush_turkey, alectura_lathami",
"maleo, macrocephalon_maleo",
"phasianid",
"pheasant",
"ring-necked_pheasant, phasianus_colchicus",
"afropavo, congo_peafowl, afropavo_congensis",
"argus, argus_pheasant",
"golden_pheasant, chrysolophus_pictus",
"bobwhite, bobwhite_quail, partridge",
"northern_bobwhite, colinus_virginianus",
"old_world_quail",
"migratory_quail, coturnix_coturnix, coturnix_communis",
"monal, monaul",
"peafowl, bird_of_juno",
"peachick, pea-chick",
"peacock",
"peahen",
"blue_peafowl, pavo_cristatus",
"green_peafowl, pavo_muticus",
"quail",
"california_quail, lofortyx_californicus",
"tragopan",
"partridge",
"hungarian_partridge, grey_partridge, gray_partridge, perdix_perdix",
"red-legged_partridge, alectoris_ruffa",
"greek_partridge, rock_partridge, alectoris_graeca",
"mountain_quail, mountain_partridge, oreortyx_picta_palmeri",
"guinea_fowl, guinea, numida_meleagris",
"guinea_hen",
"hoatzin, hoactzin, stinkbird, opisthocomus_hoazin",
"tinamou, partridge",
"columbiform_bird",
"dodo, raphus_cucullatus",
"pigeon",
"pouter_pigeon, pouter",
"dove",
"rock_dove, rock_pigeon, columba_livia",
"band-tailed_pigeon, band-tail_pigeon, bandtail, columba_fasciata",
"wood_pigeon, ringdove, cushat, columba_palumbus",
"turtledove",
"streptopelia_turtur",
"ringdove, streptopelia_risoria",
"australian_turtledove, turtledove, stictopelia_cuneata",
"mourning_dove, zenaidura_macroura",
"domestic_pigeon",
"squab",
"fairy_swallow",
"roller, tumbler, tumbler_pigeon",
"homing_pigeon, homer",
"carrier_pigeon",
"passenger_pigeon, ectopistes_migratorius",
"sandgrouse, sand_grouse",
"painted_sandgrouse, pterocles_indicus",
"pin-tailed_sandgrouse, pin-tailed_grouse, pterocles_alchata",
"pallas's_sandgrouse, syrrhaptes_paradoxus",
"parrot",
"popinjay",
"poll, poll_parrot",
"african_grey, african_gray, psittacus_erithacus",
"amazon",
"macaw",
"kea, nestor_notabilis",
"cockatoo",
"sulphur-crested_cockatoo, kakatoe_galerita, cacatua_galerita",
"pink_cockatoo, kakatoe_leadbeateri",
"cockateel, cockatiel, cockatoo_parrot, nymphicus_hollandicus",
"lovebird",
"lory",
"lorikeet",
"varied_lorikeet, glossopsitta_versicolor",
"rainbow_lorikeet, trichoglossus_moluccanus",
"parakeet, parrakeet, parroket, paraquet, paroquet, parroquet",
"carolina_parakeet, conuropsis_carolinensis",
"budgerigar, budgereegah, budgerygah, budgie, grass_parakeet, lovebird, shell_parakeet, melopsittacus_undulatus",
"ring-necked_parakeet, psittacula_krameri",
"cuculiform_bird",
"cuckoo",
"european_cuckoo, cuculus_canorus",
"black-billed_cuckoo, coccyzus_erythropthalmus",
"roadrunner, chaparral_cock, geococcyx_californianus",
"ani",
"coucal",
"crow_pheasant, centropus_sinensis",
"touraco, turaco, turacou, turakoo",
"coraciiform_bird",
"roller",
"european_roller, coracias_garrulus",
"ground_roller",
"kingfisher",
"eurasian_kingfisher, alcedo_atthis",
"belted_kingfisher, ceryle_alcyon",
"kookaburra, laughing_jackass, dacelo_gigas",
"bee_eater",
"hornbill",
"hoopoe, hoopoo",
"euopean_hoopoe, upupa_epops",
"wood_hoopoe",
"motmot, momot",
"tody",
"apodiform_bird",
"swift",
"european_swift, apus_apus",
"chimney_swift, chimney_swallow, chateura_pelagica",
"swiftlet, collocalia_inexpectata",
"tree_swift, crested_swift",
"hummingbird",
"archilochus_colubris",
"thornbill",
"goatsucker, nightjar, caprimulgid",
"european_goatsucker, european_nightjar, caprimulgus_europaeus",
"chuck-will's-widow, caprimulgus_carolinensis",
"whippoorwill, caprimulgus_vociferus",
"poorwill, phalaenoptilus_nuttallii",
"frogmouth",
"oilbird, guacharo, steatornis_caripensis",
"piciform_bird",
"woodpecker, peckerwood, pecker",
"green_woodpecker, picus_viridis",
"downy_woodpecker",
"flicker",
"yellow-shafted_flicker, colaptes_auratus, yellowhammer",
"gilded_flicker, colaptes_chrysoides",
"red-shafted_flicker, colaptes_caper_collaris",
"ivorybill, ivory-billed_woodpecker, campephilus_principalis",
"redheaded_woodpecker, redhead, melanerpes_erythrocephalus",
"sapsucker",
"yellow-bellied_sapsucker, sphyrapicus_varius",
"red-breasted_sapsucker, sphyrapicus_varius_ruber",
"wryneck",
"piculet",
"barbet",
"puffbird",
"honey_guide",
"jacamar",
"toucan",
"toucanet",
"trogon",
"quetzal, quetzal_bird",
"resplendent_quetzel, resplendent_trogon, pharomacrus_mocino",
"aquatic_bird",
"waterfowl, water_bird, waterbird",
"anseriform_bird",
"duck",
"drake",
"quack-quack",
"duckling",
"diving_duck",
"dabbling_duck, dabbler",
"mallard, anas_platyrhynchos",
"black_duck, anas_rubripes",
"teal",
"greenwing, green-winged_teal, anas_crecca",
"bluewing, blue-winged_teal, anas_discors",
"garganey, anas_querquedula",
"widgeon, wigeon, anas_penelope",
"american_widgeon, baldpate, anas_americana",
"shoveler, shoveller, broadbill, anas_clypeata",
"pintail, pin-tailed_duck, anas_acuta",
"sheldrake",
"shelduck",
"ruddy_duck, oxyura_jamaicensis",
"bufflehead, butterball, dipper, bucephela_albeola",
"goldeneye, whistler, bucephela_clangula",
"barrow's_goldeneye, bucephala_islandica",
"canvasback, canvasback_duck, aythya_valisineria",
"pochard, aythya_ferina",
"redhead, aythya_americana",
"scaup, scaup_duck, bluebill, broadbill",
"greater_scaup, aythya_marila",
"lesser_scaup, lesser_scaup_duck, lake_duck, aythya_affinis",
"wild_duck",
"wood_duck, summer_duck, wood_widgeon, aix_sponsa",
"wood_drake",
"mandarin_duck, aix_galericulata",
"muscovy_duck, musk_duck, cairina_moschata",
"sea_duck",
"eider, eider_duck",
"scoter, scooter",
"common_scoter, melanitta_nigra",
"old_squaw, oldwife, clangula_hyemalis",
"merganser, fish_duck, sawbill, sheldrake",
"goosander, mergus_merganser",
"american_merganser, mergus_merganser_americanus",
"red-breasted_merganser, mergus_serrator",
"smew, mergus_albellus",
"hooded_merganser, hooded_sheldrake, lophodytes_cucullatus",
"goose",
"gosling",
"gander",
"chinese_goose, anser_cygnoides",
"greylag, graylag, greylag_goose, graylag_goose, anser_anser",
"blue_goose, chen_caerulescens",
"snow_goose",
"brant, brant_goose, brent, brent_goose",
"common_brant_goose, branta_bernicla",
"honker, canada_goose, canadian_goose, branta_canadensis",
"barnacle_goose, barnacle, branta_leucopsis",
"coscoroba",
"swan",
"cob",
"pen",
"cygnet",
"mute_swan, cygnus_olor",
"whooper, whooper_swan, cygnus_cygnus",
"tundra_swan, cygnus_columbianus",
"whistling_swan, cygnus_columbianus_columbianus",
"bewick's_swan, cygnus_columbianus_bewickii",
"trumpeter, trumpeter_swan, cygnus_buccinator",
"black_swan, cygnus_atratus",
"screamer",
"horned_screamer, anhima_cornuta",
"crested_screamer",
"chaja, chauna_torquata",
"mammal, mammalian",
"female_mammal",
"tusker",
"prototherian",
"monotreme, egg-laying_mammal",
"echidna, spiny_anteater, anteater",
"echidna, spiny_anteater, anteater",
"platypus, duckbill, duckbilled_platypus, duck-billed_platypus, ornithorhynchus_anatinus",
"marsupial, pouched_mammal",
"opossum, possum",
"common_opossum, didelphis_virginiana, didelphis_marsupialis",
"crab-eating_opossum",
"opossum_rat",
"bandicoot",
"rabbit-eared_bandicoot, rabbit_bandicoot, bilby, macrotis_lagotis",
"kangaroo",
"giant_kangaroo, great_grey_kangaroo, macropus_giganteus",
"wallaby, brush_kangaroo",
"common_wallaby, macropus_agiles",
"hare_wallaby, kangaroo_hare",
"nail-tailed_wallaby, nail-tailed_kangaroo",
"rock_wallaby, rock_kangaroo",
"pademelon, paddymelon",
"tree_wallaby, tree_kangaroo",
"musk_kangaroo, hypsiprymnodon_moschatus",
"rat_kangaroo, kangaroo_rat",
"potoroo",
"bettong",
"jerboa_kangaroo, kangaroo_jerboa",
"phalanger, opossum, possum",
"cuscus",
"brush-tailed_phalanger, trichosurus_vulpecula",
"flying_phalanger, flying_opossum, flying_squirrel",
"koala, koala_bear, kangaroo_bear, native_bear, phascolarctos_cinereus",
"wombat",
"dasyurid_marsupial, dasyurid",
"dasyure",
"eastern_dasyure, dasyurus_quoll",
"native_cat, dasyurus_viverrinus",
"thylacine, tasmanian_wolf, tasmanian_tiger, thylacinus_cynocephalus",
"tasmanian_devil, ursine_dasyure, sarcophilus_hariisi",
"pouched_mouse, marsupial_mouse, marsupial_rat",
"numbat, banded_anteater, anteater, myrmecobius_fasciatus",
"pouched_mole, marsupial_mole, notoryctus_typhlops",
"placental, placental_mammal, eutherian, eutherian_mammal",
"livestock, stock, farm_animal",
"bull",
"cow",
"calf",
"calf",
"yearling",
"buck",
"doe",
"insectivore",
"mole",
"starnose_mole, star-nosed_mole, condylura_cristata",
"brewer's_mole, hair-tailed_mole, parascalops_breweri",
"golden_mole",
"shrew_mole",
"asiatic_shrew_mole, uropsilus_soricipes",
"american_shrew_mole, neurotrichus_gibbsii",
"shrew, shrewmouse",
"common_shrew, sorex_araneus",
"masked_shrew, sorex_cinereus",
"short-tailed_shrew, blarina_brevicauda",
"water_shrew",
"american_water_shrew, sorex_palustris",
"european_water_shrew, neomys_fodiens",
"mediterranean_water_shrew, neomys_anomalus",
"least_shrew, cryptotis_parva",
"hedgehog, erinaceus_europaeus, erinaceus_europeaeus",
"tenrec, tendrac",
"tailless_tenrec, tenrec_ecaudatus",
"otter_shrew, potamogale, potamogale_velox",
"eiderdown",
"aftershaft",
"sickle_feather",
"contour_feather",
"bastard_wing, alula, spurious_wing",
"saddle_hackle, saddle_feather",
"encolure",
"hair",
"squama",
"scute",
"sclerite",
"plastron",
"scallop_shell",
"oyster_shell",
"theca",
"invertebrate",
"sponge, poriferan, parazoan",
"choanocyte, collar_cell",
"glass_sponge",
"venus's_flower_basket",
"metazoan",
"coelenterate, cnidarian",
"planula",
"polyp",
"medusa, medusoid, medusan",
"jellyfish",
"scyphozoan",
"chrysaora_quinquecirrha",
"hydrozoan, hydroid",
"hydra",
"siphonophore",
"nanomia",
"portuguese_man-of-war, man-of-war, jellyfish",
"praya",
"apolemia",
"anthozoan, actinozoan",
"sea_anemone, anemone",
"actinia, actinian, actiniarian",
"sea_pen",
"coral",
"gorgonian, gorgonian_coral",
"sea_feather",
"sea_fan",
"red_coral",
"stony_coral, madrepore, madriporian_coral",
"brain_coral",
"staghorn_coral, stag's-horn_coral",
"mushroom_coral",
"ctenophore, comb_jelly",
"beroe",
"platyctenean",
"sea_gooseberry",
"venus's_girdle, cestum_veneris",
"worm",
"helminth, parasitic_worm",
"woodworm",
"woodborer, borer",
"acanthocephalan, spiny-headed_worm",
"arrowworm, chaetognath",
"bladder_worm",
"flatworm, platyhelminth",
"planarian, planaria",
"fluke, trematode, trematode_worm",
"cercaria",
"liver_fluke, fasciola_hepatica",
"fasciolopsis_buski",
"schistosome, blood_fluke",
"tapeworm, cestode",
"echinococcus",
"taenia",
"ribbon_worm, nemertean, nemertine, proboscis_worm",
"beard_worm, pogonophoran",
"rotifer",
"nematode, nematode_worm, roundworm",
"common_roundworm, ascaris_lumbricoides",
"chicken_roundworm, ascaridia_galli",
"pinworm, threadworm, enterobius_vermicularis",
"eelworm",
"vinegar_eel, vinegar_worm, anguillula_aceti, turbatrix_aceti",
"trichina, trichinella_spiralis",
"hookworm",
"filaria",
"guinea_worm, dracunculus_medinensis",
"annelid, annelid_worm, segmented_worm",
"archiannelid",
"oligochaete, oligochaete_worm",
"earthworm, angleworm, fishworm, fishing_worm, wiggler, nightwalker, nightcrawler, crawler, dew_worm, red_worm",
"polychaete, polychete, polychaete_worm, polychete_worm",
"lugworm, lug, lobworm",
"sea_mouse",
"bloodworm",
"leech, bloodsucker, hirudinean",
"medicinal_leech, hirudo_medicinalis",
"horseleech",
"mollusk, mollusc, shellfish",
"scaphopod",
"tooth_shell, tusk_shell",
"gastropod, univalve",
"abalone, ear-shell",
"ormer, sea-ear, haliotis_tuberculata",
"scorpion_shell",
"conch",
"giant_conch, strombus_gigas",
"snail",
"edible_snail, helix_pomatia",
"garden_snail",
"brown_snail, helix_aspersa",
"helix_hortensis",
"slug",
"seasnail",
"neritid, neritid_gastropod",
"nerita",
"bleeding_tooth, nerita_peloronta",
"neritina",
"whelk",
"moon_shell, moonshell",
"periwinkle, winkle",
"limpet",
"common_limpet, patella_vulgata",
"keyhole_limpet, fissurella_apertura, diodora_apertura",
"river_limpet, freshwater_limpet, ancylus_fluviatilis",
"sea_slug, nudibranch",
"sea_hare, aplysia_punctata",
"hermissenda_crassicornis",
"bubble_shell",
"physa",
"cowrie, cowry",
"money_cowrie, cypraea_moneta",
"tiger_cowrie, cypraea_tigris",
"solenogaster, aplacophoran",
"chiton, coat-of-mail_shell, sea_cradle, polyplacophore",
"bivalve, pelecypod, lamellibranch",
"spat",
"clam",
"seashell",
"soft-shell_clam, steamer, steamer_clam, long-neck_clam, mya_arenaria",
"quahog, quahaug, hard-shell_clam, hard_clam, round_clam, venus_mercenaria, mercenaria_mercenaria",
"littleneck, littleneck_clam",
"cherrystone, cherrystone_clam",
"geoduck",
"razor_clam, jackknife_clam, knife-handle",
"giant_clam, tridacna_gigas",
"cockle",
"edible_cockle, cardium_edule",
"oyster",
"japanese_oyster, ostrea_gigas",
"virginia_oyster",
"pearl_oyster, pinctada_margaritifera",
"saddle_oyster, anomia_ephippium",
"window_oyster, windowpane_oyster, capiz, placuna_placenta",
"ark_shell",
"blood_clam",
"mussel",
"marine_mussel, mytilid",
"edible_mussel, mytilus_edulis",
"freshwater_mussel, freshwater_clam",
"pearly-shelled_mussel",
"thin-shelled_mussel",
"zebra_mussel, dreissena_polymorpha",
"scallop, scollop, escallop",
"bay_scallop, pecten_irradians",
"sea_scallop, giant_scallop, pecten_magellanicus",
"shipworm, teredinid",
"teredo",
"piddock",
"cephalopod, cephalopod_mollusk",
"chambered_nautilus, pearly_nautilus, nautilus",
"octopod",
"octopus, devilfish",
"paper_nautilus, nautilus, argonaut, argonauta_argo",
"decapod",
"squid",
"loligo",
"ommastrephes",
"architeuthis, giant_squid",
"cuttlefish, cuttle",
"spirula, spirula_peronii",
"crustacean",
"malacostracan_crustacean",
"decapod_crustacean, decapod",
"brachyuran",
"crab",
"stone_crab, menippe_mercenaria",
"hard-shell_crab",
"soft-shell_crab, soft-shelled_crab",
"dungeness_crab, cancer_magister",
"rock_crab, cancer_irroratus",
"jonah_crab, cancer_borealis",
"swimming_crab",
"english_lady_crab, portunus_puber",
"american_lady_crab, lady_crab, calico_crab, ovalipes_ocellatus",
"blue_crab, callinectes_sapidus",
"fiddler_crab",
"pea_crab",
"king_crab, alaska_crab, alaskan_king_crab, alaska_king_crab, paralithodes_camtschatica",
"spider_crab",
"european_spider_crab, king_crab, maja_squinado",
"giant_crab, macrocheira_kaempferi",
"lobster",
"true_lobster",
"american_lobster, northern_lobster, maine_lobster, homarus_americanus",
"european_lobster, homarus_vulgaris",
"cape_lobster, homarus_capensis",
"norway_lobster, nephrops_norvegicus",
"spiny_lobster, langouste, rock_lobster, crawfish, crayfish, sea_crawfish",
"crayfish, crawfish, crawdad, crawdaddy",
"old_world_crayfish, ecrevisse",
"american_crayfish",
"hermit_crab",
"shrimp",
"snapping_shrimp, pistol_shrimp",
"prawn",
"long-clawed_prawn, river_prawn, palaemon_australis",
"tropical_prawn",
"krill",
"euphausia_pacifica",
"opossum_shrimp",
"stomatopod, stomatopod_crustacean",
"mantis_shrimp, mantis_crab",
"squilla, mantis_prawn",
"isopod",
"woodlouse, slater",
"pill_bug",
"sow_bug",
"sea_louse, sea_slater",
"amphipod",
"skeleton_shrimp",
"whale_louse",
"daphnia, water_flea",
"fairy_shrimp",
"brine_shrimp, artemia_salina",
"tadpole_shrimp",
"copepod, copepod_crustacean",
"cyclops, water_flea",
"seed_shrimp, mussel_shrimp, ostracod",
"barnacle, cirriped, cirripede",
"acorn_barnacle, rock_barnacle, balanus_balanoides",
"goose_barnacle, gooseneck_barnacle, lepas_fascicularis",
"onychophoran, velvet_worm, peripatus",
"wading_bird, wader",
"stork",
"white_stork, ciconia_ciconia",
"black_stork, ciconia_nigra",
"adjutant_bird, adjutant, adjutant_stork, leptoptilus_dubius",
"marabou, marabout, marabou_stork, leptoptilus_crumeniferus",
"openbill",
"jabiru, jabiru_mycteria",
"saddlebill, jabiru, ephippiorhynchus_senegalensis",
"policeman_bird, black-necked_stork, jabiru, xenorhyncus_asiaticus",
"wood_ibis, wood_stork, flinthead, mycteria_americana",
"shoebill, shoebird, balaeniceps_rex",
"ibis",
"wood_ibis, wood_stork, ibis_ibis",
"sacred_ibis, threskiornis_aethiopica",
"spoonbill",
"common_spoonbill, platalea_leucorodia",
"roseate_spoonbill, ajaia_ajaja",
"flamingo",
"heron",
"great_blue_heron, ardea_herodius",
"great_white_heron, ardea_occidentalis",
"egret",
"little_blue_heron, egretta_caerulea",
"snowy_egret, snowy_heron, egretta_thula",
"little_egret, egretta_garzetta",
"great_white_heron, casmerodius_albus",
"american_egret, great_white_heron, egretta_albus",
"cattle_egret, bubulcus_ibis",
"night_heron, night_raven",
"black-crowned_night_heron, nycticorax_nycticorax",
"yellow-crowned_night_heron, nyctanassa_violacea",
"boatbill, boat-billed_heron, broadbill, cochlearius_cochlearius",
"bittern",
"american_bittern, stake_driver, botaurus_lentiginosus",
"european_bittern, botaurus_stellaris",
"least_bittern, ixobrychus_exilis",
"crane",
"whooping_crane, whooper, grus_americana",
"courlan, aramus_guarauna",
"limpkin, aramus_pictus",
"crested_cariama, seriema, cariama_cristata",
"chunga, seriema, chunga_burmeisteri",
"rail",
"weka, maori_hen, wood_hen",
"crake",
"corncrake, land_rail, crex_crex",
"spotted_crake, porzana_porzana",
"gallinule, marsh_hen, water_hen, swamphen",
"florida_gallinule, gallinula_chloropus_cachinnans",
"moorhen, gallinula_chloropus",
"purple_gallinule",
"european_gallinule, porphyrio_porphyrio",
"american_gallinule, porphyrula_martinica",
"notornis, takahe, notornis_mantelli",
"coot",
"american_coot, marsh_hen, mud_hen, water_hen, fulica_americana",
"old_world_coot, fulica_atra",
"bustard",
"great_bustard, otis_tarda",
"plain_turkey, choriotis_australis",
"button_quail, button-quail, bustard_quail, hemipode",
"striped_button_quail, turnix_sylvatica",
"plain_wanderer, pedionomus_torquatus",
"trumpeter",
"brazilian_trumpeter, psophia_crepitans",
"seabird, sea_bird, seafowl",
"shorebird, shore_bird, limicoline_bird",
"plover",
"piping_plover, charadrius_melodus",
"killdeer, kildeer, killdeer_plover, charadrius_vociferus",
"dotterel, dotrel, charadrius_morinellus, eudromias_morinellus",
"golden_plover",
"lapwing, green_plover, peewit, pewit",
"turnstone",
"ruddy_turnstone, arenaria_interpres",
"black_turnstone, arenaria-melanocephala",
"sandpiper",
"surfbird, aphriza_virgata",
"european_sandpiper, actitis_hypoleucos",
"spotted_sandpiper, actitis_macularia",
"least_sandpiper, stint, erolia_minutilla",
"red-backed_sandpiper, dunlin, erolia_alpina",
"greenshank, tringa_nebularia",
"redshank, tringa_totanus",
"yellowlegs",
"greater_yellowlegs, tringa_melanoleuca",
"lesser_yellowlegs, tringa_flavipes",
"pectoral_sandpiper, jacksnipe, calidris_melanotos",
"knot, greyback, grayback, calidris_canutus",
"curlew_sandpiper, calidris_ferruginea",
"sanderling, crocethia_alba",
"upland_sandpiper, upland_plover, bartramian_sandpiper, bartramia_longicauda",
"ruff, philomachus_pugnax",
"reeve",
"tattler",
"polynesian_tattler, heteroscelus_incanus",
"willet, catoptrophorus_semipalmatus",
"woodcock",
"eurasian_woodcock, scolopax_rusticola",
"american_woodcock, woodcock_snipe, philohela_minor",
"snipe",
"whole_snipe, gallinago_gallinago",
"wilson's_snipe, gallinago_gallinago_delicata",
"great_snipe, woodcock_snipe, gallinago_media",
"jacksnipe, half_snipe, limnocryptes_minima",
"dowitcher",
"greyback, grayback, limnodromus_griseus",
"red-breasted_snipe, limnodromus_scolopaceus",
"curlew",
"european_curlew, numenius_arquata",
"eskimo_curlew, numenius_borealis",
"godwit",
"hudsonian_godwit, limosa_haemastica",
"stilt, stiltbird, longlegs, long-legs, stilt_plover, himantopus_stilt",
"black-necked_stilt, himantopus_mexicanus",
"black-winged_stilt, himantopus_himantopus",
"white-headed_stilt, himantopus_himantopus_leucocephalus",
"kaki, himantopus_novae-zelandiae",
"stilt, australian_stilt",
"banded_stilt, cladorhyncus_leucocephalum",
"avocet",
"oystercatcher, oyster_catcher",
"phalarope",
"red_phalarope, phalaropus_fulicarius",
"northern_phalarope, lobipes_lobatus",
"wilson's_phalarope, steganopus_tricolor",
"pratincole, glareole",
"courser",
"cream-colored_courser, cursorius_cursor",
"crocodile_bird, pluvianus_aegyptius",
"stone_curlew, thick-knee, burhinus_oedicnemus",
"coastal_diving_bird",
"larid",
"gull, seagull, sea_gull",
"mew, mew_gull, sea_mew, larus_canus",
"black-backed_gull, great_black-backed_gull, cob, larus_marinus",
"herring_gull, larus_argentatus",
"laughing_gull, blackcap, pewit, pewit_gull, larus_ridibundus",
"ivory_gull, pagophila_eburnea",
"kittiwake",
"tern",
"sea_swallow, sterna_hirundo",
"skimmer",
"jaeger",
"parasitic_jaeger, arctic_skua, stercorarius_parasiticus",
"skua, bonxie",
"great_skua, catharacta_skua",
"auk",
"auklet",
"razorbill, razor-billed_auk, alca_torda",
"little_auk, dovekie, plautus_alle",
"guillemot",
"black_guillemot, cepphus_grylle",
"pigeon_guillemot, cepphus_columba",
"murre",
"common_murre, uria_aalge",
"thick-billed_murre, uria_lomvia",
"puffin",
"atlantic_puffin, fratercula_arctica",
"horned_puffin, fratercula_corniculata",
"tufted_puffin, lunda_cirrhata",
"gaviiform_seabird",
"loon, diver",
"podicipitiform_seabird",
"grebe",
"great_crested_grebe, podiceps_cristatus",
"red-necked_grebe, podiceps_grisegena",
"black-necked_grebe, eared_grebe, podiceps_nigricollis",
"dabchick, little_grebe, podiceps_ruficollis",
"pied-billed_grebe, podilymbus_podiceps",
"pelecaniform_seabird",
"pelican",
"white_pelican, pelecanus_erythrorhynchos",
"old_world_white_pelican, pelecanus_onocrotalus",
"frigate_bird, man-of-war_bird",
"gannet",
"solan, solan_goose, solant_goose, sula_bassana",
"booby",
"cormorant, phalacrocorax_carbo",
"snakebird, anhinga, darter",
"water_turkey, anhinga_anhinga",
"tropic_bird, tropicbird, boatswain_bird",
"sphenisciform_seabird",
"penguin",
"adelie, adelie_penguin, pygoscelis_adeliae",
"king_penguin, aptenodytes_patagonica",
"emperor_penguin, aptenodytes_forsteri",
"jackass_penguin, spheniscus_demersus",
"rock_hopper, crested_penguin",
"pelagic_bird, oceanic_bird",
"procellariiform_seabird",
"albatross, mollymawk",
"wandering_albatross, diomedea_exulans",
"black-footed_albatross, gooney, gooney_bird, goonie, goony, diomedea_nigripes",
"petrel",
"white-chinned_petrel, procellaria_aequinoctialis",
"giant_petrel, giant_fulmar, macronectes_giganteus",
"fulmar, fulmar_petrel, fulmarus_glacialis",
"shearwater",
"manx_shearwater, puffinus_puffinus",
"storm_petrel",
"stormy_petrel, northern_storm_petrel, hydrobates_pelagicus",
"mother_carey's_chicken, mother_carey's_hen, oceanites_oceanicus",
"diving_petrel",
"aquatic_mammal",
"cetacean, cetacean_mammal, blower",
"whale",
"baleen_whale, whalebone_whale",
"right_whale",
"bowhead, bowhead_whale, greenland_whale, balaena_mysticetus",
"rorqual, razorback",
"blue_whale, sulfur_bottom, balaenoptera_musculus",
"finback, finback_whale, fin_whale, common_rorqual, balaenoptera_physalus",
"sei_whale, balaenoptera_borealis",
"lesser_rorqual, piked_whale, minke_whale, balaenoptera_acutorostrata",
"humpback, humpback_whale, megaptera_novaeangliae",
"grey_whale, gray_whale, devilfish, eschrichtius_gibbosus, eschrichtius_robustus",
"toothed_whale",
"sperm_whale, cachalot, black_whale, physeter_catodon",
"pygmy_sperm_whale, kogia_breviceps",
"dwarf_sperm_whale, kogia_simus",
"beaked_whale",
"bottle-nosed_whale, bottlenose_whale, bottlenose, hyperoodon_ampullatus",
"dolphin",
"common_dolphin, delphinus_delphis",
"bottlenose_dolphin, bottle-nosed_dolphin, bottlenose",
"atlantic_bottlenose_dolphin, tursiops_truncatus",
"pacific_bottlenose_dolphin, tursiops_gilli",
"porpoise",
"harbor_porpoise, herring_hog, phocoena_phocoena",
"vaquita, phocoena_sinus",
"grampus, grampus_griseus",
"killer_whale, killer, orca, grampus, sea_wolf, orcinus_orca",
"pilot_whale, black_whale, common_blackfish, blackfish, globicephala_melaena",
"river_dolphin",
"narwhal, narwal, narwhale, monodon_monoceros",
"white_whale, beluga, delphinapterus_leucas",
"sea_cow, sirenian_mammal, sirenian",
"manatee, trichechus_manatus",
"dugong, dugong_dugon",
"steller's_sea_cow, hydrodamalis_gigas",
"carnivore",
"omnivore",
"pinniped_mammal, pinniped, pinnatiped",
"seal",
"crabeater_seal, crab-eating_seal",
"eared_seal",
"fur_seal",
"guadalupe_fur_seal, arctocephalus_philippi",
"fur_seal",
"alaska_fur_seal, callorhinus_ursinus",
"sea_lion",
"south_american_sea_lion, otaria_byronia",
"california_sea_lion, zalophus_californianus, zalophus_californicus",
"australian_sea_lion, zalophus_lobatus",
"steller_sea_lion, steller's_sea_lion, eumetopias_jubatus",
"earless_seal, true_seal, hair_seal",
"harbor_seal, common_seal, phoca_vitulina",
"harp_seal, pagophilus_groenlandicus",
"elephant_seal, sea_elephant",
"bearded_seal, squareflipper_square_flipper, erignathus_barbatus",
"hooded_seal, bladdernose, cystophora_cristata",
"walrus, seahorse, sea_horse",
"atlantic_walrus, odobenus_rosmarus",
"pacific_walrus, odobenus_divergens",
"fissipedia",
"fissiped_mammal, fissiped",
"aardvark, ant_bear, anteater, orycteropus_afer",
"canine, canid",
"bitch",
"brood_bitch",
"dog, domestic_dog, canis_familiaris",
"pooch, doggie, doggy, barker, bow-wow",
"cur, mongrel, mutt",
"feist, fice",
"pariah_dog, pye-dog, pie-dog",
"lapdog",
"toy_dog, toy",
"chihuahua",
"japanese_spaniel",
"maltese_dog, maltese_terrier, maltese",
"pekinese, pekingese, peke",
"shih-tzu",
"toy_spaniel",
"english_toy_spaniel",
"blenheim_spaniel",
"king_charles_spaniel",
"papillon",
"toy_terrier",
"hunting_dog",
"courser",
"rhodesian_ridgeback",
"hound, hound_dog",
"afghan_hound, afghan",
"basset, basset_hound",
"beagle",
"bloodhound, sleuthhound",
"bluetick",
"boarhound",
"coonhound",
"coondog",
"black-and-tan_coonhound",
"dachshund, dachsie, badger_dog",
"sausage_dog, sausage_hound",
"foxhound",
"american_foxhound",
"walker_hound, walker_foxhound",
"english_foxhound",
"harrier",
"plott_hound",
"redbone",
"wolfhound",
"borzoi, russian_wolfhound",
"irish_wolfhound",
"greyhound",
"italian_greyhound",
"whippet",
"ibizan_hound, ibizan_podenco",
"norwegian_elkhound, elkhound",
"otterhound, otter_hound",
"saluki, gazelle_hound",
"scottish_deerhound, deerhound",
"staghound",
"weimaraner",
"terrier",
"bullterrier, bull_terrier",
"staffordshire_bullterrier, staffordshire_bull_terrier",
"american_staffordshire_terrier, staffordshire_terrier, american_pit_bull_terrier, pit_bull_terrier",
"bedlington_terrier",
"border_terrier",
"kerry_blue_terrier",
"irish_terrier",
"norfolk_terrier",
"norwich_terrier",
"yorkshire_terrier",
"rat_terrier, ratter",
"manchester_terrier, black-and-tan_terrier",
"toy_manchester, toy_manchester_terrier",
"fox_terrier",
"smooth-haired_fox_terrier",
"wire-haired_fox_terrier",
"wirehair, wirehaired_terrier, wire-haired_terrier",
"lakeland_terrier",
"welsh_terrier",
"sealyham_terrier, sealyham",
"airedale, airedale_terrier",
"cairn, cairn_terrier",
"australian_terrier",
"dandie_dinmont, dandie_dinmont_terrier",
"boston_bull, boston_terrier",
"schnauzer",
"miniature_schnauzer",
"giant_schnauzer",
"standard_schnauzer",
"scotch_terrier, scottish_terrier, scottie",
"tibetan_terrier, chrysanthemum_dog",
"silky_terrier, sydney_silky",
"skye_terrier",
"clydesdale_terrier",
"soft-coated_wheaten_terrier",
"west_highland_white_terrier",
"lhasa, lhasa_apso",
"sporting_dog, gun_dog",
"bird_dog",
"water_dog",
"retriever",
"flat-coated_retriever",
"curly-coated_retriever",
"golden_retriever",
"labrador_retriever",
"chesapeake_bay_retriever",
"pointer, spanish_pointer",
"german_short-haired_pointer",
"setter",
"vizsla, hungarian_pointer",
"english_setter",
"irish_setter, red_setter",
"gordon_setter",
"spaniel",
"brittany_spaniel",
"clumber, clumber_spaniel",
"field_spaniel",
"springer_spaniel, springer",
"english_springer, english_springer_spaniel",
"welsh_springer_spaniel",
"cocker_spaniel, english_cocker_spaniel, cocker",
"sussex_spaniel",
"water_spaniel",
"american_water_spaniel",
"irish_water_spaniel",
"griffon, wire-haired_pointing_griffon",
"working_dog",
"watchdog, guard_dog",
"kuvasz",
"attack_dog",
"housedog",
"schipperke",
"shepherd_dog, sheepdog, sheep_dog",
"belgian_sheepdog, belgian_shepherd",
"groenendael",
"malinois",
"briard",
"kelpie",
"komondor",
"old_english_sheepdog, bobtail",
"shetland_sheepdog, shetland_sheep_dog, shetland",
"collie",
"border_collie",
"bouvier_des_flandres, bouviers_des_flandres",
"rottweiler",
"german_shepherd, german_shepherd_dog, german_police_dog, alsatian",
"police_dog",
"pinscher",
"doberman, doberman_pinscher",
"miniature_pinscher",
"sennenhunde",
"greater_swiss_mountain_dog",
"bernese_mountain_dog",
"appenzeller",
"entlebucher",
"boxer",
"mastiff",
"bull_mastiff",
"tibetan_mastiff",
"bulldog, english_bulldog",
"french_bulldog",
"great_dane",
"guide_dog",
"seeing_eye_dog",
"hearing_dog",
"saint_bernard, st_bernard",
"seizure-alert_dog",
"sled_dog, sledge_dog",
"eskimo_dog, husky",
"malamute, malemute, alaskan_malamute",
"siberian_husky",
"dalmatian, coach_dog, carriage_dog",
"liver-spotted_dalmatian",
"affenpinscher, monkey_pinscher, monkey_dog",
"basenji",
"pug, pug-dog",
"leonberg",
"newfoundland, newfoundland_dog",
"great_pyrenees",
"spitz",
"samoyed, samoyede",
"pomeranian",
"chow, chow_chow",
"keeshond",
"griffon, brussels_griffon, belgian_griffon",
"brabancon_griffon",
"corgi, welsh_corgi",
"pembroke, pembroke_welsh_corgi",
"cardigan, cardigan_welsh_corgi",
"poodle, poodle_dog",
"toy_poodle",
"miniature_poodle",
"standard_poodle",
"large_poodle",
"mexican_hairless",
"wolf",
"timber_wolf, grey_wolf, gray_wolf, canis_lupus",
"white_wolf, arctic_wolf, canis_lupus_tundrarum",
"red_wolf, maned_wolf, canis_rufus, canis_niger",
"coyote, prairie_wolf, brush_wolf, canis_latrans",
"coydog",
"jackal, canis_aureus",
"wild_dog",
"dingo, warrigal, warragal, canis_dingo",
"dhole, cuon_alpinus",
"crab-eating_dog, crab-eating_fox, dusicyon_cancrivorus",
"raccoon_dog, nyctereutes_procyonides",
"african_hunting_dog, hyena_dog, cape_hunting_dog, lycaon_pictus",
"hyena, hyaena",
"striped_hyena, hyaena_hyaena",
"brown_hyena, strand_wolf, hyaena_brunnea",
"spotted_hyena, laughing_hyena, crocuta_crocuta",
"aardwolf, proteles_cristata",
"fox",
"vixen",
"reynard",
"red_fox, vulpes_vulpes",
"black_fox",
"silver_fox",
"red_fox, vulpes_fulva",
"kit_fox, prairie_fox, vulpes_velox",
"kit_fox, vulpes_macrotis",
"arctic_fox, white_fox, alopex_lagopus",
"blue_fox",
"grey_fox, gray_fox, urocyon_cinereoargenteus",
"feline, felid",
"cat, true_cat",
"domestic_cat, house_cat, felis_domesticus, felis_catus",
"kitty, kitty-cat, puss, pussy, pussycat",
"mouser",
"alley_cat",
"stray",
"tom, tomcat",
"gib",
"tabby, queen",
"kitten, kitty",
"tabby, tabby_cat",
"tiger_cat",
"tortoiseshell, tortoiseshell-cat, calico_cat",
"persian_cat",
"angora, angora_cat",
"siamese_cat, siamese",
"blue_point_siamese",
"burmese_cat",
"egyptian_cat",
"maltese, maltese_cat",
"abyssinian, abyssinian_cat",
"manx, manx_cat",
"wildcat",
"sand_cat",
"european_wildcat, catamountain, felis_silvestris",
"cougar, puma, catamount, mountain_lion, painter, panther, felis_concolor",
"ocelot, panther_cat, felis_pardalis",
"jaguarundi, jaguarundi_cat, jaguarondi, eyra, felis_yagouaroundi",
"kaffir_cat, caffer_cat, felis_ocreata",
"jungle_cat, felis_chaus",
"serval, felis_serval",
"leopard_cat, felis_bengalensis",
"margay, margay_cat, felis_wiedi",
"manul, pallas's_cat, felis_manul",
"lynx, catamount",
"common_lynx, lynx_lynx",
"canada_lynx, lynx_canadensis",
"bobcat, bay_lynx, lynx_rufus",
"spotted_lynx, lynx_pardina",
"caracal, desert_lynx, lynx_caracal",
"big_cat, cat",
"leopard, panthera_pardus",
"leopardess",
"panther",
"snow_leopard, ounce, panthera_uncia",
"jaguar, panther, panthera_onca, felis_onca",
"lion, king_of_beasts, panthera_leo",
"lioness",
"lionet",
"tiger, panthera_tigris",
"bengal_tiger",
"tigress",
"liger",
"tiglon, tigon",
"cheetah, chetah, acinonyx_jubatus",
"saber-toothed_tiger, sabertooth",
"smiledon_californicus",
"bear",
"brown_bear, bruin, ursus_arctos",
"bruin",
"syrian_bear, ursus_arctos_syriacus",
"grizzly, grizzly_bear, silvertip, silver-tip, ursus_horribilis, ursus_arctos_horribilis",
"alaskan_brown_bear, kodiak_bear, kodiak, ursus_middendorffi, ursus_arctos_middendorffi",
"american_black_bear, black_bear, ursus_americanus, euarctos_americanus",
"cinnamon_bear",
"asiatic_black_bear, black_bear, ursus_thibetanus, selenarctos_thibetanus",
"ice_bear, polar_bear, ursus_maritimus, thalarctos_maritimus",
"sloth_bear, melursus_ursinus, ursus_ursinus",
"viverrine, viverrine_mammal",
"civet, civet_cat",
"large_civet, viverra_zibetha",
"small_civet, viverricula_indica, viverricula_malaccensis",
"binturong, bearcat, arctictis_bintourong",
"cryptoprocta, genus_cryptoprocta",
"fossa, fossa_cat, cryptoprocta_ferox",
"fanaloka, fossa_fossa",
"genet, genetta_genetta",
"banded_palm_civet, hemigalus_hardwickii",
"mongoose",
"indian_mongoose, herpestes_nyula",
"ichneumon, herpestes_ichneumon",
"palm_cat, palm_civet",
"meerkat, mierkat",
"slender-tailed_meerkat, suricata_suricatta",
"suricate, suricata_tetradactyla",
"bat, chiropteran",
"fruit_bat, megabat",
"flying_fox",
"pteropus_capestratus",
"pteropus_hypomelanus",
"harpy, harpy_bat, tube-nosed_bat, tube-nosed_fruit_bat",
"cynopterus_sphinx",
"carnivorous_bat, microbat",
"mouse-eared_bat",
"leafnose_bat, leaf-nosed_bat",
"macrotus, macrotus_californicus",
"spearnose_bat",
"phyllostomus_hastatus",
"hognose_bat, choeronycteris_mexicana",
"horseshoe_bat",
"horseshoe_bat",
"orange_bat, orange_horseshoe_bat, rhinonicteris_aurantius",
"false_vampire, false_vampire_bat",
"big-eared_bat, megaderma_lyra",
"vespertilian_bat, vespertilionid",
"frosted_bat, vespertilio_murinus",
"red_bat, lasiurus_borealis",
"brown_bat",
"little_brown_bat, little_brown_myotis, myotis_leucifugus",
"cave_myotis, myotis_velifer",
"big_brown_bat, eptesicus_fuscus",
"serotine, european_brown_bat, eptesicus_serotinus",
"pallid_bat, cave_bat, antrozous_pallidus",
"pipistrelle, pipistrel, pipistrellus_pipistrellus",
"eastern_pipistrel, pipistrellus_subflavus",
"jackass_bat, spotted_bat, euderma_maculata",
"long-eared_bat",
"western_big-eared_bat, plecotus_townsendi",
"freetail, free-tailed_bat, freetailed_bat",
"guano_bat, mexican_freetail_bat, tadarida_brasiliensis",
"pocketed_bat, pocketed_freetail_bat, tadirida_femorosacca",
"mastiff_bat",
"vampire_bat, true_vampire_bat",
"desmodus_rotundus",
"hairy-legged_vampire_bat, diphylla_ecaudata",
"predator, predatory_animal",
"prey, quarry",
"game",
"big_game",
"game_bird",
"fossorial_mammal",
"tetrapod",
"quadruped",
"hexapod",
"biped",
"insect",
"social_insect",
"holometabola, metabola",
"defoliator",
"pollinator",
"gallfly",
"scorpion_fly",
"hanging_fly",
"collembolan, springtail",
"beetle",
"tiger_beetle",
"ladybug, ladybeetle, lady_beetle, ladybird, ladybird_beetle",
"two-spotted_ladybug, adalia_bipunctata",
"mexican_bean_beetle, bean_beetle, epilachna_varivestis",
"hippodamia_convergens",
"vedalia, rodolia_cardinalis",
"ground_beetle, carabid_beetle",
"bombardier_beetle",
"calosoma",
"searcher, searcher_beetle, calosoma_scrutator",
"firefly, lightning_bug",
"glowworm",
"long-horned_beetle, longicorn, longicorn_beetle",
"sawyer, sawyer_beetle",
"pine_sawyer",
"leaf_beetle, chrysomelid",
"flea_beetle",
"colorado_potato_beetle, colorado_beetle, potato_bug, potato_beetle, leptinotarsa_decemlineata",
"carpet_beetle, carpet_bug",
"buffalo_carpet_beetle, anthrenus_scrophulariae",
"black_carpet_beetle",
"clerid_beetle, clerid",
"bee_beetle",
"lamellicorn_beetle",
"scarabaeid_beetle, scarabaeid, scarabaean",
"dung_beetle",
"scarab, scarabaeus, scarabaeus_sacer",
"tumblebug",
"dorbeetle",
"june_beetle, june_bug, may_bug, may_beetle",
"green_june_beetle, figeater",
"japanese_beetle, popillia_japonica",
"oriental_beetle, asiatic_beetle, anomala_orientalis",
"rhinoceros_beetle",
"melolonthid_beetle",
"cockchafer, may_bug, may_beetle, melolontha_melolontha",
"rose_chafer, rose_bug, macrodactylus_subspinosus",
"rose_chafer, rose_beetle, cetonia_aurata",
"stag_beetle",
"elaterid_beetle, elater, elaterid",
"click_beetle, skipjack, snapping_beetle",
"firefly, fire_beetle, pyrophorus_noctiluca",
"wireworm",
"water_beetle",
"whirligig_beetle",
"deathwatch_beetle, deathwatch, xestobium_rufovillosum",
"weevil",
"snout_beetle",
"boll_weevil, anthonomus_grandis",
"blister_beetle, meloid",
"oil_beetle",
"spanish_fly",
"dutch-elm_beetle, scolytus_multistriatus",
"bark_beetle",
"spruce_bark_beetle, dendroctonus_rufipennis",
"rove_beetle",
"darkling_beetle, darkling_groung_beetle, tenebrionid",
"mealworm",
"flour_beetle, flour_weevil",
"seed_beetle, seed_weevil",
"pea_weevil, bruchus_pisorum",
"bean_weevil, acanthoscelides_obtectus",
"rice_weevil, black_weevil, sitophylus_oryzae",
"asian_longhorned_beetle, anoplophora_glabripennis",
"web_spinner",
"louse, sucking_louse",
"common_louse, pediculus_humanus",
"head_louse, pediculus_capitis",
"body_louse, cootie, pediculus_corporis",
"crab_louse, pubic_louse, crab, phthirius_pubis",
"bird_louse, biting_louse, louse",
"flea",
"pulex_irritans",
"dog_flea, ctenocephalides_canis",
"cat_flea, ctenocephalides_felis",
"chigoe, chigger, chigoe_flea, tunga_penetrans",
"sticktight, sticktight_flea, echidnophaga_gallinacea",
"dipterous_insect, two-winged_insects, dipteran, dipteron",
"gall_midge, gallfly, gall_gnat",
"hessian_fly, mayetiola_destructor",
"fly",
"housefly, house_fly, musca_domestica",
"tsetse_fly, tsetse, tzetze_fly, tzetze, glossina",
"blowfly, blow_fly",
"bluebottle, calliphora_vicina",
"greenbottle, greenbottle_fly",
"flesh_fly, sarcophaga_carnaria",
"tachina_fly",
"gadfly",
"botfly",
"human_botfly, dermatobia_hominis",
"sheep_botfly, sheep_gadfly, oestrus_ovis",
"warble_fly",
"horsefly, cleg, clegg, horse_fly",
"bee_fly",
"robber_fly, bee_killer",
"fruit_fly, pomace_fly",
"apple_maggot, railroad_worm, rhagoletis_pomonella",
"mediterranean_fruit_fly, medfly, ceratitis_capitata",
"drosophila, drosophila_melanogaster",
"vinegar_fly",
"leaf_miner, leaf-miner",
"louse_fly, hippoboscid",
"horse_tick, horsefly, hippobosca_equina",
"sheep_ked, sheep-tick, sheep_tick, melophagus_ovinus",
"horn_fly, haematobia_irritans",
"mosquito",
"wiggler, wriggler",
"gnat",
"yellow-fever_mosquito, aedes_aegypti",
"asian_tiger_mosquito, aedes_albopictus",
"anopheline",
"malarial_mosquito, malaria_mosquito",
"common_mosquito, culex_pipiens",
"culex_quinquefasciatus, culex_fatigans",
"gnat",
"punkie, punky, punkey, no-see-um, biting_midge",
"midge",
"fungus_gnat",
"psychodid",
"sand_fly, sandfly, phlebotomus_papatasii",
"fungus_gnat, sciara, sciarid",
"armyworm",
"crane_fly, daddy_longlegs",
"blackfly, black_fly, buffalo_gnat",
"hymenopterous_insect, hymenopteran, hymenopteron, hymenopter",
"bee",
"drone",
"queen_bee",
"worker",
"soldier",
"worker_bee",
"honeybee, apis_mellifera",
"africanized_bee, africanized_honey_bee, killer_bee, apis_mellifera_scutellata, apis_mellifera_adansonii",
"black_bee, german_bee",
"carniolan_bee",
"italian_bee",
"carpenter_bee",
"bumblebee, humblebee",
"cuckoo-bumblebee",
"andrena, andrenid, mining_bee",
"nomia_melanderi, alkali_bee",
"leaf-cutting_bee, leaf-cutter, leaf-cutter_bee",
"mason_bee",
"potter_bee",
"wasp",
"vespid, vespid_wasp",
"paper_wasp",
"hornet",
"giant_hornet, vespa_crabro",
"common_wasp, vespula_vulgaris",
"bald-faced_hornet, white-faced_hornet, vespula_maculata",
"yellow_jacket, yellow_hornet, vespula_maculifrons",
"polistes_annularis",
"mason_wasp",
"potter_wasp",
"mutillidae, family_mutillidae",
"velvet_ant",
"sphecoid_wasp, sphecoid",
"mason_wasp",
"digger_wasp",
"cicada_killer, sphecius_speciosis",
"mud_dauber",
"gall_wasp, gallfly, cynipid_wasp, cynipid_gall_wasp",
"chalcid_fly, chalcidfly, chalcid, chalcid_wasp",
"strawworm, jointworm",
"chalcis_fly",
"ichneumon_fly",
"sawfly",
"birch_leaf_miner, fenusa_pusilla",
"ant, emmet, pismire",
"pharaoh_ant, pharaoh's_ant, monomorium_pharaonis",
"little_black_ant, monomorium_minimum",
"army_ant, driver_ant, legionary_ant",
"carpenter_ant",
"fire_ant",
"wood_ant, formica_rufa",
"slave_ant",
"formica_fusca",
"slave-making_ant, slave-maker",
"sanguinary_ant, formica_sanguinea",
"bulldog_ant",
"amazon_ant, polyergus_rufescens",
"termite, white_ant",
"dry-wood_termite",
"reticulitermes_lucifugus",
"mastotermes_darwiniensis",
"mastotermes_electrodominicus",
"powder-post_termite, cryptotermes_brevis",
"orthopterous_insect, orthopteron, orthopteran",
"grasshopper, hopper",
"short-horned_grasshopper, acridid",
"locust",
"migratory_locust, locusta_migratoria",
"migratory_grasshopper",
"long-horned_grasshopper, tettigoniid",
"katydid",
"mormon_cricket, anabrus_simplex",
"sand_cricket, jerusalem_cricket, stenopelmatus_fuscus",
"cricket",
"mole_cricket",
"european_house_cricket, acheta_domestica",
"field_cricket, acheta_assimilis",
"tree_cricket",
"snowy_tree_cricket, oecanthus_fultoni",
"phasmid, phasmid_insect",
"walking_stick, walkingstick, stick_insect",
"diapheromera, diapheromera_femorata",
"walking_leaf, leaf_insect",
"cockroach, roach",
"oriental_cockroach, oriental_roach, asiatic_cockroach, blackbeetle, blatta_orientalis",
"american_cockroach, periplaneta_americana",
"australian_cockroach, periplaneta_australasiae",
"german_cockroach, croton_bug, crotonbug, water_bug, blattella_germanica",
"giant_cockroach",
"mantis, mantid",
"praying_mantis, praying_mantid, mantis_religioso",
"bug",
"hemipterous_insect, bug, hemipteran, hemipteron",
"leaf_bug, plant_bug",
"mirid_bug, mirid, capsid",
"four-lined_plant_bug, four-lined_leaf_bug, poecilocapsus_lineatus",
"lygus_bug",
"tarnished_plant_bug, lygus_lineolaris",
"lace_bug",
"lygaeid, lygaeid_bug",
"chinch_bug, blissus_leucopterus",
"coreid_bug, coreid",
"squash_bug, anasa_tristis",
"leaf-footed_bug, leaf-foot_bug",
"bedbug, bed_bug, chinch, cimex_lectularius",
"backswimmer, notonecta_undulata",
"true_bug",
"heteropterous_insect",
"water_bug",
"giant_water_bug",
"water_scorpion",
"water_boatman, boat_bug",
"water_strider, pond-skater, water_skater",
"common_pond-skater, gerris_lacustris",
"assassin_bug, reduviid",
"conenose, cone-nosed_bug, conenose_bug, big_bedbug, kissing_bug",
"wheel_bug, arilus_cristatus",
"firebug",
"cotton_stainer",
"homopterous_insect, homopteran",
"whitefly",
"citrus_whitefly, dialeurodes_citri",
"greenhouse_whitefly, trialeurodes_vaporariorum",
"sweet-potato_whitefly",
"superbug, bemisia_tabaci, poinsettia_strain",
"cotton_strain",
"coccid_insect",
"scale_insect",
"soft_scale",
"brown_soft_scale, coccus_hesperidum",
"armored_scale",
"san_jose_scale, aspidiotus_perniciosus",
"cochineal_insect, cochineal, dactylopius_coccus",
"mealybug, mealy_bug",
"citrophilous_mealybug, citrophilus_mealybug, pseudococcus_fragilis",
"comstock_mealybug, comstock's_mealybug, pseudococcus_comstocki",
"citrus_mealybug, planococcus_citri",
"plant_louse, louse",
"aphid",
"apple_aphid, green_apple_aphid, aphis_pomi",
"blackfly, bean_aphid, aphis_fabae",
"greenfly",
"green_peach_aphid",
"ant_cow",
"woolly_aphid, woolly_plant_louse",
"woolly_apple_aphid, american_blight, eriosoma_lanigerum",
"woolly_alder_aphid, prociphilus_tessellatus",
"adelgid",
"balsam_woolly_aphid, adelges_piceae",
"spruce_gall_aphid, adelges_abietis",
"woolly_adelgid",
"jumping_plant_louse, psylla, psyllid",
"cicada, cicala",
"dog-day_cicada, harvest_fly",
"seventeen-year_locust, periodical_cicada, magicicada_septendecim",
"spittle_insect, spittlebug",
"froghopper",
"meadow_spittlebug, philaenus_spumarius",
"pine_spittlebug",
"saratoga_spittlebug, aphrophora_saratogensis",
"leafhopper",
"plant_hopper, planthopper",
"treehopper",
"lantern_fly, lantern-fly",
"psocopterous_insect",
"psocid",
"bark-louse, bark_louse",
"booklouse, book_louse, deathwatch, liposcelis_divinatorius",
"common_booklouse, trogium_pulsatorium",
"ephemerid, ephemeropteran",
"mayfly, dayfly, shadfly",
"stonefly, stone_fly, plecopteran",
"neuropteron, neuropteran, neuropterous_insect",
"ant_lion, antlion, antlion_fly",
"doodlebug, ant_lion, antlion",
"lacewing, lacewing_fly",
"aphid_lion, aphis_lion",
"green_lacewing, chrysopid, stink_fly",
"brown_lacewing, hemerobiid, hemerobiid_fly",
"dobson, dobsonfly, dobson_fly, corydalus_cornutus",
"hellgrammiate, dobson",
"fish_fly, fish-fly",
"alderfly, alder_fly, sialis_lutaria",
"snakefly",
"mantispid",
"odonate",
"dragonfly, darning_needle, devil's_darning_needle, sewing_needle, snake_feeder, snake_doctor, mosquito_hawk, skeeter_hawk",
"damselfly",
"trichopterous_insect, trichopteran, trichopteron",
"caddis_fly, caddis-fly, caddice_fly, caddice-fly",
"caseworm",
"caddisworm, strawworm",
"thysanuran_insect, thysanuron",
"bristletail",
"silverfish, lepisma_saccharina",
"firebrat, thermobia_domestica",
"jumping_bristletail, machilid",
"thysanopter, thysanopteron, thysanopterous_insect",
"thrips, thrip, thripid",
"tobacco_thrips, frankliniella_fusca",
"onion_thrips, onion_louse, thrips_tobaci",
"earwig",
"common_european_earwig, forficula_auricularia",
"lepidopterous_insect, lepidopteron, lepidopteran",
"butterfly",
"nymphalid, nymphalid_butterfly, brush-footed_butterfly, four-footed_butterfly",
"mourning_cloak, mourning_cloak_butterfly, camberwell_beauty, nymphalis_antiopa",
"tortoiseshell, tortoiseshell_butterfly",
"painted_beauty, vanessa_virginiensis",
"admiral",
"red_admiral, vanessa_atalanta",
"white_admiral, limenitis_camilla",
"banded_purple, white_admiral, limenitis_arthemis",
"red-spotted_purple, limenitis_astyanax",
"viceroy, limenitis_archippus",
"anglewing",
"ringlet, ringlet_butterfly",
"comma, comma_butterfly, polygonia_comma",
"fritillary",
"silverspot",
"emperor_butterfly, emperor",
"purple_emperor, apatura_iris",
"peacock, peacock_butterfly, inachis_io",
"danaid, danaid_butterfly",
"monarch, monarch_butterfly, milkweed_butterfly, danaus_plexippus",
"pierid, pierid_butterfly",
"cabbage_butterfly",
"small_white, pieris_rapae",
"large_white, pieris_brassicae",
"southern_cabbage_butterfly, pieris_protodice",
"sulphur_butterfly, sulfur_butterfly",
"lycaenid, lycaenid_butterfly",
"blue",
"copper",
"american_copper, lycaena_hypophlaeas",
"hairstreak, hairstreak_butterfly",
"strymon_melinus",
"moth",
"moth_miller, miller",
"tortricid, tortricid_moth",
"leaf_roller, leaf-roller",
"tea_tortrix, tortrix, homona_coffearia",
"orange_tortrix, tortrix, argyrotaenia_citrana",
"codling_moth, codlin_moth, carpocapsa_pomonella",
"lymantriid, tussock_moth",
"tussock_caterpillar",
"gypsy_moth, gipsy_moth, lymantria_dispar",
"browntail, brown-tail_moth, euproctis_phaeorrhoea",
"gold-tail_moth, euproctis_chrysorrhoea",
"geometrid, geometrid_moth",
"paleacrita_vernata",
"alsophila_pometaria",
"cankerworm",
"spring_cankerworm",
"fall_cankerworm",
"measuring_worm, inchworm, looper",
"pyralid, pyralid_moth",
"bee_moth, wax_moth, galleria_mellonella",
"corn_borer, european_corn_borer_moth, corn_borer_moth, pyrausta_nubilalis",
"mediterranean_flour_moth, anagasta_kuehniella",
"tobacco_moth, cacao_moth, ephestia_elutella",
"almond_moth, fig_moth, cadra_cautella",
"raisin_moth, cadra_figulilella",
"tineoid, tineoid_moth",
"tineid, tineid_moth",
"clothes_moth",
"casemaking_clothes_moth, tinea_pellionella",
"webbing_clothes_moth, webbing_moth, tineola_bisselliella",
"carpet_moth, tapestry_moth, trichophaga_tapetzella",
"gelechiid, gelechiid_moth",
"grain_moth",
"angoumois_moth, angoumois_grain_moth, sitotroga_cerealella",
"potato_moth, potato_tuber_moth, splitworm, phthorimaea_operculella",
"potato_tuberworm, phthorimaea_operculella",
"noctuid_moth, noctuid, owlet_moth",
"cutworm",
"underwing",
"red_underwing, catocala_nupta",
"antler_moth, cerapteryx_graminis",
"heliothis_moth, heliothis_zia",
"army_cutworm, chorizagrotis_auxiliaris",
"armyworm, pseudaletia_unipuncta",
"armyworm, army_worm, pseudaletia_unipuncta",
"spodoptera_exigua",
"beet_armyworm, spodoptera_exigua",
"spodoptera_frugiperda",
"fall_armyworm, spodoptera_frugiperda",
"hawkmoth, hawk_moth, sphingid, sphinx_moth, hummingbird_moth",
"manduca_sexta",
"tobacco_hornworm, tomato_worm, manduca_sexta",
"manduca_quinquemaculata",
"tomato_hornworm, potato_worm, manduca_quinquemaculata",
"death's-head_moth, acherontia_atropos",
"bombycid, bombycid_moth, silkworm_moth",
"domestic_silkworm_moth, domesticated_silkworm_moth, bombyx_mori",
"silkworm",
"saturniid, saturniid_moth",
"emperor, emperor_moth, saturnia_pavonia",
"imperial_moth, eacles_imperialis",
"giant_silkworm_moth, silkworm_moth",
"silkworm, giant_silkworm, wild_wilkworm",
"luna_moth, actias_luna",
"cecropia, cecropia_moth, hyalophora_cecropia",
"cynthia_moth, samia_cynthia, samia_walkeri",
"ailanthus_silkworm, samia_cynthia",
"io_moth, automeris_io",
"polyphemus_moth, antheraea_polyphemus",
"pernyi_moth, antheraea_pernyi",
"tussah, tusseh, tussur, tussore, tusser, antheraea_mylitta",
"atlas_moth, atticus_atlas",
"arctiid, arctiid_moth",
"tiger_moth",
"cinnabar, cinnabar_moth, callimorpha_jacobeae",
"lasiocampid, lasiocampid_moth",
"eggar, egger",
"tent-caterpillar_moth, malacosoma_americana",
"tent_caterpillar",
"tent-caterpillar_moth, malacosoma_disstria",
"forest_tent_caterpillar, malacosoma_disstria",
"lappet, lappet_moth",
"lappet_caterpillar",
"webworm",
"webworm_moth",
"hyphantria_cunea",
"fall_webworm, hyphantria_cunea",
"garden_webworm, loxostege_similalis",
"instar",
"caterpillar",
"corn_borer, pyrausta_nubilalis",
"bollworm",
"pink_bollworm, gelechia_gossypiella",
"corn_earworm, cotton_bollworm, tomato_fruitworm, tobacco_budworm, vetchworm, heliothis_zia",
"cabbageworm, pieris_rapae",
"woolly_bear, woolly_bear_caterpillar",
"woolly_bear_moth",
"larva",
"nymph",
"leptocephalus",
"grub",
"maggot",
"leatherjacket",
"pupa",
"chrysalis",
"imago",
"queen",
"phoronid",
"bryozoan, polyzoan, sea_mat, sea_moss, moss_animal",
"brachiopod, lamp_shell, lampshell",
"peanut_worm, sipunculid",
"echinoderm",
"starfish, sea_star",
"brittle_star, brittle-star, serpent_star",
"basket_star, basket_fish",
"astrophyton_muricatum",
"sea_urchin",
"edible_sea_urchin, echinus_esculentus",
"sand_dollar",
"heart_urchin",
"crinoid",
"sea_lily",
"feather_star, comatulid",
"sea_cucumber, holothurian",
"trepang, holothuria_edulis",
"duplicidentata",
"lagomorph, gnawing_mammal",
"leporid, leporid_mammal",
"rabbit, coney, cony",
"rabbit_ears",
"lapin",
"bunny, bunny_rabbit",
"european_rabbit, old_world_rabbit, oryctolagus_cuniculus",
"wood_rabbit, cottontail, cottontail_rabbit",
"eastern_cottontail, sylvilagus_floridanus",
"swamp_rabbit, canecutter, swamp_hare, sylvilagus_aquaticus",
"marsh_hare, swamp_rabbit, sylvilagus_palustris",
"hare",
"leveret",
"european_hare, lepus_europaeus",
"jackrabbit",
"white-tailed_jackrabbit, whitetail_jackrabbit, lepus_townsendi",
"blacktail_jackrabbit, lepus_californicus",
"polar_hare, arctic_hare, lepus_arcticus",
"snowshoe_hare, snowshoe_rabbit, varying_hare, lepus_americanus",
"belgian_hare, leporide",
"angora, angora_rabbit",
"pika, mouse_hare, rock_rabbit, coney, cony",
"little_chief_hare, ochotona_princeps",
"collared_pika, ochotona_collaris",
"rodent, gnawer",
"mouse",
"rat",
"pocket_rat",
"murine",
"house_mouse, mus_musculus",
"harvest_mouse, micromyx_minutus",
"field_mouse, fieldmouse",
"nude_mouse",
"european_wood_mouse, apodemus_sylvaticus",
"brown_rat, norway_rat, rattus_norvegicus",
"wharf_rat",
"sewer_rat",
"black_rat, roof_rat, rattus_rattus",
"bandicoot_rat, mole_rat",
"jerboa_rat",
"kangaroo_mouse",
"water_rat",
"beaver_rat",
"new_world_mouse",
"american_harvest_mouse, harvest_mouse",
"wood_mouse",
"white-footed_mouse, vesper_mouse, peromyscus_leucopus",
"deer_mouse, peromyscus_maniculatus",
"cactus_mouse, peromyscus_eremicus",
"cotton_mouse, peromyscus_gossypinus",
"pygmy_mouse, baiomys_taylori",
"grasshopper_mouse",
"muskrat, musquash, ondatra_zibethica",
"round-tailed_muskrat, florida_water_rat, neofiber_alleni",
"cotton_rat, sigmodon_hispidus",
"wood_rat, wood-rat",
"dusky-footed_wood_rat",
"vole, field_mouse",
"packrat, pack_rat, trade_rat, bushytail_woodrat, neotoma_cinerea",
"dusky-footed_woodrat, neotoma_fuscipes",
"eastern_woodrat, neotoma_floridana",
"rice_rat, oryzomys_palustris",
"pine_vole, pine_mouse, pitymys_pinetorum",
"meadow_vole, meadow_mouse, microtus_pennsylvaticus",
"water_vole, richardson_vole, microtus_richardsoni",
"prairie_vole, microtus_ochrogaster",
"water_vole, water_rat, arvicola_amphibius",
"red-backed_mouse, redback_vole",
"phenacomys",
"hamster",
"eurasian_hamster, cricetus_cricetus",
"golden_hamster, syrian_hamster, mesocricetus_auratus",
"gerbil, gerbille",
"jird",
"tamarisk_gerbil, meriones_unguiculatus",
"sand_rat, meriones_longifrons",
"lemming",
"european_lemming, lemmus_lemmus",
"brown_lemming, lemmus_trimucronatus",
"grey_lemming, gray_lemming, red-backed_lemming",
"pied_lemming",
"hudson_bay_collared_lemming, dicrostonyx_hudsonius",
"southern_bog_lemming, synaptomys_cooperi",
"northern_bog_lemming, synaptomys_borealis",
"porcupine, hedgehog",
"old_world_porcupine",
"brush-tailed_porcupine, brush-tail_porcupine",
"long-tailed_porcupine, trichys_lipura",
"new_world_porcupine",
"canada_porcupine, erethizon_dorsatum",
"pocket_mouse",
"silky_pocket_mouse, perognathus_flavus",
"plains_pocket_mouse, perognathus_flavescens",
"hispid_pocket_mouse, perognathus_hispidus",
"mexican_pocket_mouse, liomys_irroratus",
"kangaroo_rat, desert_rat, dipodomys_phillipsii",
"ord_kangaroo_rat, dipodomys_ordi",
"kangaroo_mouse, dwarf_pocket_rat",
"jumping_mouse",
"meadow_jumping_mouse, zapus_hudsonius",
"jerboa",
"typical_jerboa",
"jaculus_jaculus",
"dormouse",
"loir, glis_glis",
"hazel_mouse, muscardinus_avellanarius",
"lerot",
"gopher, pocket_gopher, pouched_rat",
"plains_pocket_gopher, geomys_bursarius",
"southeastern_pocket_gopher, geomys_pinetis",
"valley_pocket_gopher, thomomys_bottae",
"northern_pocket_gopher, thomomys_talpoides",
"squirrel",
"tree_squirrel",
"eastern_grey_squirrel, eastern_gray_squirrel, cat_squirrel, sciurus_carolinensis",
"western_grey_squirrel, western_gray_squirrel, sciurus_griseus",
"fox_squirrel, eastern_fox_squirrel, sciurus_niger",
"black_squirrel",
"red_squirrel, cat_squirrel, sciurus_vulgaris",
"american_red_squirrel, spruce_squirrel, red_squirrel, sciurus_hudsonicus, tamiasciurus_hudsonicus",
"chickeree, douglas_squirrel, tamiasciurus_douglasi",
"antelope_squirrel, whitetail_antelope_squirrel, antelope_chipmunk, citellus_leucurus",
"ground_squirrel, gopher, spermophile",
"mantled_ground_squirrel, citellus_lateralis",
"suslik, souslik, citellus_citellus",
"flickertail, richardson_ground_squirrel, citellus_richardsoni",
"rock_squirrel, citellus_variegatus",
"arctic_ground_squirrel, parka_squirrel, citellus_parryi",
"prairie_dog, prairie_marmot",
"blacktail_prairie_dog, cynomys_ludovicianus",
"whitetail_prairie_dog, cynomys_gunnisoni",
"eastern_chipmunk, hackee, striped_squirrel, ground_squirrel, tamias_striatus",
"chipmunk",
"baronduki, baranduki, barunduki, burunduki, eutamius_asiaticus, eutamius_sibiricus",
"american_flying_squirrel",
"southern_flying_squirrel, glaucomys_volans",
"northern_flying_squirrel, glaucomys_sabrinus",
"marmot",
"groundhog, woodchuck, marmota_monax",
"hoary_marmot, whistler, whistling_marmot, marmota_caligata",
"yellowbelly_marmot, rockchuck, marmota_flaviventris",
"asiatic_flying_squirrel",
"beaver",
"old_world_beaver, castor_fiber",
"new_world_beaver, castor_canadensis",
"mountain_beaver, sewellel, aplodontia_rufa",
"cavy",
"guinea_pig, cavia_cobaya",
"aperea, wild_cavy, cavia_porcellus",
"mara, dolichotis_patagonum",
"capybara, capibara, hydrochoerus_hydrochaeris",
"agouti, dasyprocta_aguti",
"paca, cuniculus_paca",
"mountain_paca",
"coypu, nutria, myocastor_coypus",
"chinchilla, chinchilla_laniger",
"mountain_chinchilla, mountain_viscacha",
"viscacha, chinchillon, lagostomus_maximus",
"abrocome, chinchilla_rat, rat_chinchilla",
"mole_rat",
"mole_rat",
"sand_rat",
"naked_mole_rat",
"queen, queen_mole_rat",
"damaraland_mole_rat",
"ungulata",
"ungulate, hoofed_mammal",
"unguiculate, unguiculate_mammal",
"dinoceras, uintathere",
"hyrax, coney, cony, dassie, das",
"rock_hyrax, rock_rabbit, procavia_capensis",
"odd-toed_ungulate, perissodactyl, perissodactyl_mammal",
"equine, equid",
"horse, equus_caballus",
"roan",
"stablemate, stable_companion",
"gee-gee",
"eohippus, dawn_horse",
"foal",
"filly",
"colt",
"male_horse",
"ridgeling, ridgling, ridgel, ridgil",
"stallion, entire",
"stud, studhorse",
"gelding",
"mare, female_horse",
"broodmare, stud_mare",
"saddle_horse, riding_horse, mount",
"remount",
"palfrey",
"warhorse",
"cavalry_horse",
"charger, courser",
"steed",
"prancer",
"hack",
"cow_pony",
"quarter_horse",
"morgan",
"tennessee_walker, tennessee_walking_horse, walking_horse, plantation_walking_horse",
"american_saddle_horse",
"appaloosa",
"arabian, arab",
"lippizan, lipizzan, lippizaner",
"pony",
"polo_pony",
"mustang",
"bronco, bronc, broncho",
"bucking_bronco",
"buckskin",
"crowbait, crow-bait",
"dun",
"grey, gray",
"wild_horse",
"tarpan, equus_caballus_gomelini",
"przewalski's_horse, przevalski's_horse, equus_caballus_przewalskii, equus_caballus_przevalskii",
"cayuse, indian_pony",
"hack",
"hack, jade, nag, plug",
"plow_horse, plough_horse",
"pony",
"shetland_pony",
"welsh_pony",
"exmoor",
"racehorse, race_horse, bangtail",
"thoroughbred",
"steeplechaser",
"racer",
"finisher",
"pony",
"yearling",
"dark_horse",
"mudder",
"nonstarter",
"stalking-horse",
"harness_horse",
"cob",
"hackney",
"workhorse",
"draft_horse, draught_horse, dray_horse",
"packhorse",
"carthorse, cart_horse, drayhorse",
"clydesdale",
"percheron",
"farm_horse, dobbin",
"shire, shire_horse",
"pole_horse, poler",
"post_horse, post-horse, poster",
"coach_horse",
"pacer",
"pacer, pacemaker, pacesetter",
"trotting_horse, trotter",
"pole_horse",
"stepper, high_stepper",
"chestnut",
"liver_chestnut",
"bay",
"sorrel",
"palomino",
"pinto",
"ass",
"domestic_ass, donkey, equus_asinus",
"burro",
"moke",
"jack, jackass",
"jennet, jenny, jenny_ass",
"mule",
"hinny",
"wild_ass",
"african_wild_ass, equus_asinus",
"kiang, equus_kiang",
"onager, equus_hemionus",
"chigetai, dziggetai, equus_hemionus_hemionus",
"zebra",
"common_zebra, burchell's_zebra, equus_burchelli",
"mountain_zebra, equus_zebra_zebra",
"grevy's_zebra, equus_grevyi",
"quagga, equus_quagga",
"rhinoceros, rhino",
"indian_rhinoceros, rhinoceros_unicornis",
"woolly_rhinoceros, rhinoceros_antiquitatis",
"white_rhinoceros, ceratotherium_simum, diceros_simus",
"black_rhinoceros, diceros_bicornis",
"tapir",
"new_world_tapir, tapirus_terrestris",
"malayan_tapir, indian_tapir, tapirus_indicus",
"even-toed_ungulate, artiodactyl, artiodactyl_mammal",
"swine",
"hog, pig, grunter, squealer, sus_scrofa",
"piglet, piggy, shoat, shote",
"sucking_pig",
"porker",
"boar",
"sow",
"razorback, razorback_hog, razorbacked_hog",
"wild_boar, boar, sus_scrofa",
"babirusa, babiroussa, babirussa, babyrousa_babyrussa",
"warthog",
"peccary, musk_hog",
"collared_peccary, javelina, tayassu_angulatus, tayassu_tajacu, peccari_angulatus",
"white-lipped_peccary, tayassu_pecari",
"hippopotamus, hippo, river_horse, hippopotamus_amphibius",
"ruminant",
"bovid",
"bovine",
"ox, wild_ox",
"cattle, cows, kine, oxen, bos_taurus",
"ox",
"stirk",
"bullock, steer",
"bull",
"cow, moo-cow",
"heifer",
"bullock",
"dogie, dogy, leppy",
"maverick",
"beef, beef_cattle",
"longhorn, texas_longhorn",
"brahman, brahma, brahmin, bos_indicus",
"zebu",
"aurochs, urus, bos_primigenius",
"yak, bos_grunniens",
"banteng, banting, tsine, bos_banteng",
"welsh, welsh_black",
"red_poll",
"santa_gertrudis",
"aberdeen_angus, angus, black_angus",
"africander",
"dairy_cattle, dairy_cow, milch_cow, milk_cow, milcher, milker",
"ayrshire",
"brown_swiss",
"charolais",
"jersey",
"devon",
"grade",
"durham, shorthorn",
"milking_shorthorn",
"galloway",
"friesian, holstein, holstein-friesian",
"guernsey",
"hereford, whiteface",
"cattalo, beefalo",
"old_world_buffalo, buffalo",
"water_buffalo, water_ox, asiatic_buffalo, bubalus_bubalis",
"indian_buffalo",
"carabao",
"anoa, dwarf_buffalo, anoa_depressicornis",
"tamarau, tamarao, bubalus_mindorensis, anoa_mindorensis",
"cape_buffalo, synercus_caffer",
"asian_wild_ox",
"gaur, bibos_gaurus",
"gayal, mithan, bibos_frontalis",
"bison",
"american_bison, american_buffalo, buffalo, bison_bison",
"wisent, aurochs, bison_bonasus",
"musk_ox, musk_sheep, ovibos_moschatus",
"sheep",
"ewe",
"ram, tup",
"wether",
"lamb",
"lambkin",
"baa-lamb",
"hog, hogget, hogg",
"teg",
"persian_lamb",
"black_sheep",
"domestic_sheep, ovis_aries",
"cotswold",
"hampshire, hampshire_down",
"lincoln",
"exmoor",
"cheviot",
"broadtail, caracul, karakul",
"longwool",
"merino, merino_sheep",
"rambouillet",
"wild_sheep",
"argali, argal, ovis_ammon",
"marco_polo_sheep, marco_polo's_sheep, ovis_poli",
"urial, ovis_vignei",
"dall_sheep, dall's_sheep, white_sheep, ovis_montana_dalli",
"mountain_sheep",
"bighorn, bighorn_sheep, cimarron, rocky_mountain_bighorn, rocky_mountain_sheep, ovis_canadensis",
"mouflon, moufflon, ovis_musimon",
"aoudad, arui, audad, barbary_sheep, maned_sheep, ammotragus_lervia",
"goat, caprine_animal",
"kid",
"billy, billy_goat, he-goat",
"nanny, nanny-goat, she-goat",
"domestic_goat, capra_hircus",
"cashmere_goat, kashmir_goat",
"angora, angora_goat",
"wild_goat",
"bezoar_goat, pasang, capra_aegagrus",
"markhor, markhoor, capra_falconeri",
"ibex, capra_ibex",
"goat_antelope",
"mountain_goat, rocky_mountain_goat, oreamnos_americanus",
"goral, naemorhedus_goral",
"serow",
"chamois, rupicapra_rupicapra",
"takin, gnu_goat, budorcas_taxicolor",
"antelope",
"blackbuck, black_buck, antilope_cervicapra",
"gerenuk, litocranius_walleri",
"addax, addax_nasomaculatus",
"gnu, wildebeest",
"dik-dik",
"hartebeest",
"sassaby, topi, damaliscus_lunatus",
"impala, aepyceros_melampus",
"gazelle",
"thomson's_gazelle, gazella_thomsoni",
"gazella_subgutturosa",
"springbok, springbuck, antidorcas_marsupialis, antidorcas_euchore",
"bongo, tragelaphus_eurycerus, boocercus_eurycerus",
"kudu, koodoo, koudou",
"greater_kudu, tragelaphus_strepsiceros",
"lesser_kudu, tragelaphus_imberbis",
"harnessed_antelope",
"nyala, tragelaphus_angasi",
"mountain_nyala, tragelaphus_buxtoni",
"bushbuck, guib, tragelaphus_scriptus",
"nilgai, nylghai, nylghau, blue_bull, boselaphus_tragocamelus",
"sable_antelope, hippotragus_niger",
"saiga, saiga_tatarica",
"steenbok, steinbok, raphicerus_campestris",
"eland",
"common_eland, taurotragus_oryx",
"giant_eland, taurotragus_derbianus",
"kob, kobus_kob",
"lechwe, kobus_leche",
"waterbuck",
"puku, adenota_vardoni",
"oryx, pasang",
"gemsbok, gemsbuck, oryx_gazella",
"forest_goat, spindle_horn, pseudoryx_nghetinhensis",
"pronghorn, prongbuck, pronghorn_antelope, american_antelope, antilocapra_americana",
"deer, cervid",
"stag",
"royal, royal_stag",
"pricket",
"fawn",
"red_deer, elk, american_elk, wapiti, cervus_elaphus",
"hart, stag",
"hind",
"brocket",
"sambar, sambur, cervus_unicolor",
"wapiti, elk, american_elk, cervus_elaphus_canadensis",
"japanese_deer, sika, cervus_nipon, cervus_sika",
"virginia_deer, white_tail, whitetail, white-tailed_deer, whitetail_deer, odocoileus_virginianus",
"mule_deer, burro_deer, odocoileus_hemionus",
"black-tailed_deer, blacktail_deer, blacktail, odocoileus_hemionus_columbianus",
"elk, european_elk, moose, alces_alces",
"fallow_deer, dama_dama",
"roe_deer, capreolus_capreolus",
"roebuck",
"caribou, reindeer, greenland_caribou, rangifer_tarandus",
"woodland_caribou, rangifer_caribou",
"barren_ground_caribou, rangifer_arcticus",
"brocket",
"muntjac, barking_deer",
"musk_deer, moschus_moschiferus",
"pere_david's_deer, elaphure, elaphurus_davidianus",
"chevrotain, mouse_deer",
"kanchil, tragulus_kanchil",
"napu, tragulus_javanicus",
"water_chevrotain, water_deer, hyemoschus_aquaticus",
"camel",
"arabian_camel, dromedary, camelus_dromedarius",
"bactrian_camel, camelus_bactrianus",
"llama",
"domestic_llama, lama_peruana",
"guanaco, lama_guanicoe",
"alpaca, lama_pacos",
"vicuna, vicugna_vicugna",
"giraffe, camelopard, giraffa_camelopardalis",
"okapi, okapia_johnstoni",
"musteline_mammal, mustelid, musteline",
"weasel",
"ermine, shorttail_weasel, mustela_erminea",
"stoat",
"new_world_least_weasel, mustela_rixosa",
"old_world_least_weasel, mustela_nivalis",
"longtail_weasel, long-tailed_weasel, mustela_frenata",
"mink",
"american_mink, mustela_vison",
"polecat, fitch, foulmart, foumart, mustela_putorius",
"ferret",
"black-footed_ferret, ferret, mustela_nigripes",
"muishond",
"snake_muishond, poecilogale_albinucha",
"striped_muishond, ictonyx_striata",
"otter",
"river_otter, lutra_canadensis",
"eurasian_otter, lutra_lutra",
"sea_otter, enhydra_lutris",
"skunk, polecat, wood_pussy",
"striped_skunk, mephitis_mephitis",
"hooded_skunk, mephitis_macroura",
"hog-nosed_skunk, hognosed_skunk, badger_skunk, rooter_skunk, conepatus_leuconotus",
"spotted_skunk, little_spotted_skunk, spilogale_putorius",
"badger",
"american_badger, taxidea_taxus",
"eurasian_badger, meles_meles",
"ratel, honey_badger, mellivora_capensis",
"ferret_badger",
"hog_badger, hog-nosed_badger, sand_badger, arctonyx_collaris",
"wolverine, carcajou, skunk_bear, gulo_luscus",
"glutton, gulo_gulo, wolverine",
"grison, grison_vittatus, galictis_vittatus",
"marten, marten_cat",
"pine_marten, martes_martes",
"sable, martes_zibellina",
"american_marten, american_sable, martes_americana",
"stone_marten, beech_marten, martes_foina",
"fisher, pekan, fisher_cat, black_cat, martes_pennanti",
"yellow-throated_marten, charronia_flavigula",
"tayra, taira, eira_barbara",
"fictional_animal",
"pachyderm",
"edentate",
"armadillo",
"peba, nine-banded_armadillo, texas_armadillo, dasypus_novemcinctus",
"apar, three-banded_armadillo, tolypeutes_tricinctus",
"tatouay, cabassous, cabassous_unicinctus",
"peludo, poyou, euphractus_sexcinctus",
"giant_armadillo, tatou, tatu, priodontes_giganteus",
"pichiciago, pichiciego, fairy_armadillo, chlamyphore, chlamyphorus_truncatus",
"sloth, tree_sloth",
"three-toed_sloth, ai, bradypus_tridactylus",
"two-toed_sloth, unau, unai, choloepus_didactylus",
"two-toed_sloth, unau, unai, choloepus_hoffmanni",
"megatherian, megatheriid, megatherian_mammal",
"mylodontid",
"anteater, new_world_anteater",
"ant_bear, giant_anteater, great_anteater, tamanoir, myrmecophaga_jubata",
"silky_anteater, two-toed_anteater, cyclopes_didactylus",
"tamandua, tamandu, lesser_anteater, tamandua_tetradactyla",
"pangolin, scaly_anteater, anteater",
"coronet",
"scapular",
"tadpole, polliwog, pollywog",
"primate",
"simian",
"ape",
"anthropoid",
"anthropoid_ape",
"hominoid",
"hominid",
"homo, man, human_being, human",
"world, human_race, humanity, humankind, human_beings, humans, mankind, man",
"homo_erectus",
"pithecanthropus, pithecanthropus_erectus, genus_pithecanthropus",
"java_man, trinil_man",
"peking_man",
"sinanthropus, genus_sinanthropus",
"homo_soloensis",
"javanthropus, genus_javanthropus",
"homo_habilis",
"homo_sapiens",
"neandertal_man, neanderthal_man, neandertal, neanderthal, homo_sapiens_neanderthalensis",
"cro-magnon",
"homo_sapiens_sapiens, modern_man",
"australopithecine",
"australopithecus_afarensis",
"australopithecus_africanus",
"australopithecus_boisei",
"zinjanthropus, genus_zinjanthropus",
"australopithecus_robustus",
"paranthropus, genus_paranthropus",
"sivapithecus",
"rudapithecus, dryopithecus_rudapithecus_hungaricus",
"proconsul",
"aegyptopithecus",
"great_ape, pongid",
"orangutan, orang, orangutang, pongo_pygmaeus",
"gorilla, gorilla_gorilla",
"western_lowland_gorilla, gorilla_gorilla_gorilla",
"eastern_lowland_gorilla, gorilla_gorilla_grauri",
"mountain_gorilla, gorilla_gorilla_beringei",
"silverback",
"chimpanzee, chimp, pan_troglodytes",
"western_chimpanzee, pan_troglodytes_verus",
"eastern_chimpanzee, pan_troglodytes_schweinfurthii",
"central_chimpanzee, pan_troglodytes_troglodytes",
"pygmy_chimpanzee, bonobo, pan_paniscus",
"lesser_ape",
"gibbon, hylobates_lar",
"siamang, hylobates_syndactylus, symphalangus_syndactylus",
"monkey",
"old_world_monkey, catarrhine",
"guenon, guenon_monkey",
"talapoin, cercopithecus_talapoin",
"grivet, cercopithecus_aethiops",
"vervet, vervet_monkey, cercopithecus_aethiops_pygerythrus",
"green_monkey, african_green_monkey, cercopithecus_aethiops_sabaeus",
"mangabey",
"patas, hussar_monkey, erythrocebus_patas",
"baboon",
"chacma, chacma_baboon, papio_ursinus",
"mandrill, mandrillus_sphinx",
"drill, mandrillus_leucophaeus",
"macaque",
"rhesus, rhesus_monkey, macaca_mulatta",
"bonnet_macaque, bonnet_monkey, capped_macaque, crown_monkey, macaca_radiata",
"barbary_ape, macaca_sylvana",
"crab-eating_macaque, croo_monkey, macaca_irus",
"langur",
"entellus, hanuman, presbytes_entellus, semnopithecus_entellus",
"colobus, colobus_monkey",
"guereza, colobus_guereza",
"proboscis_monkey, nasalis_larvatus",
"new_world_monkey, platyrrhine, platyrrhinian",
"marmoset",
"true_marmoset",
"pygmy_marmoset, cebuella_pygmaea",
"tamarin, lion_monkey, lion_marmoset, leoncita",
"silky_tamarin, leontocebus_rosalia",
"pinche, leontocebus_oedipus",
"capuchin, ringtail, cebus_capucinus",
"douroucouli, aotus_trivirgatus",
"howler_monkey, howler",
"saki",
"uakari",
"titi, titi_monkey",
"spider_monkey, ateles_geoffroyi",
"squirrel_monkey, saimiri_sciureus",
"woolly_monkey",
"tree_shrew",
"prosimian",
"lemur",
"madagascar_cat, ring-tailed_lemur, lemur_catta",
"aye-aye, daubentonia_madagascariensis",
"slender_loris, loris_gracilis",
"slow_loris, nycticebus_tardigradua, nycticebus_pygmaeus",
"potto, kinkajou, perodicticus_potto",
"angwantibo, golden_potto, arctocebus_calabarensis",
"galago, bushbaby, bush_baby",
"indri, indris, indri_indri, indri_brevicaudatus",
"woolly_indris, avahi_laniger",
"tarsier",
"tarsius_syrichta",
"tarsius_glis",
"flying_lemur, flying_cat, colugo",
"cynocephalus_variegatus",
"proboscidean, proboscidian",
"elephant",
"rogue_elephant",
"indian_elephant, elephas_maximus",
"african_elephant, loxodonta_africana",
"mammoth",
"woolly_mammoth, northern_mammoth, mammuthus_primigenius",
"columbian_mammoth, mammuthus_columbi",
"imperial_mammoth, imperial_elephant, archidiskidon_imperator",
"mastodon, mastodont",
"plantigrade_mammal, plantigrade",
"digitigrade_mammal, digitigrade",
"procyonid",
"raccoon, racoon",
"common_raccoon, common_racoon, coon, ringtail, procyon_lotor",
"crab-eating_raccoon, procyon_cancrivorus",
"bassarisk, cacomistle, cacomixle, coon_cat, raccoon_fox, ringtail, ring-tailed_cat, civet_cat, miner's_cat, bassariscus_astutus",
"kinkajou, honey_bear, potto, potos_flavus, potos_caudivolvulus",
"coati, coati-mondi, coati-mundi, coon_cat, nasua_narica",
"lesser_panda, red_panda, panda, bear_cat, cat_bear, ailurus_fulgens",
"giant_panda, panda, panda_bear, coon_bear, ailuropoda_melanoleuca",
"twitterer",
"fish",
"fingerling",
"game_fish, sport_fish",
"food_fish",
"rough_fish",
"groundfish, bottom_fish",
"young_fish",
"parr",
"mouthbreeder",
"spawner",
"barracouta, snoek",
"crossopterygian, lobefin, lobe-finned_fish",
"coelacanth, latimeria_chalumnae",
"lungfish",
"ceratodus",
"catfish, siluriform_fish",
"silurid, silurid_fish",
"european_catfish, sheatfish, silurus_glanis",
"electric_catfish, malopterurus_electricus",
"bullhead, bullhead_catfish",
"horned_pout, hornpout, pout, ameiurus_melas",
"brown_bullhead",
"channel_catfish, channel_cat, ictalurus_punctatus",
"blue_catfish, blue_cat, blue_channel_catfish, blue_channel_cat",
"flathead_catfish, mudcat, goujon, shovelnose_catfish, spoonbill_catfish, pylodictus_olivaris",
"armored_catfish",
"sea_catfish",
"gadoid, gadoid_fish",
"cod, codfish",
"codling",
"atlantic_cod, gadus_morhua",
"pacific_cod, alaska_cod, gadus_macrocephalus",
"whiting, merlangus_merlangus, gadus_merlangus",
"burbot, eelpout, ling, cusk, lota_lota",
"haddock, melanogrammus_aeglefinus",
"pollack, pollock, pollachius_pollachius",
"hake",
"silver_hake, merluccius_bilinearis, whiting",
"ling",
"cusk, torsk, brosme_brosme",
"grenadier, rattail, rattail_fish",
"eel",
"elver",
"common_eel, freshwater_eel",
"tuna, anguilla_sucklandii",
"moray, moray_eel",
"conger, conger_eel",
"teleost_fish, teleost, teleostan",
"beaked_salmon, sandfish, gonorhynchus_gonorhynchus",
"clupeid_fish, clupeid",
"whitebait",
"brit, britt",
"shad",
"common_american_shad, alosa_sapidissima",
"river_shad, alosa_chrysocloris",
"allice_shad, allis_shad, allice, allis, alosa_alosa",
"alewife, alosa_pseudoharengus, pomolobus_pseudoharengus",
"menhaden, brevoortia_tyrannis",
"herring, clupea_harangus",
"atlantic_herring, clupea_harengus_harengus",
"pacific_herring, clupea_harengus_pallasii",
"sardine",
"sild",
"brisling, sprat, clupea_sprattus",
"pilchard, sardine, sardina_pilchardus",
"pacific_sardine, sardinops_caerulea",
"anchovy",
"mediterranean_anchovy, engraulis_encrasicholus",
"salmonid",
"salmon",
"parr",
"blackfish",
"redfish",
"atlantic_salmon, salmo_salar",
"landlocked_salmon, lake_salmon",
"sockeye, sockeye_salmon, red_salmon, blueback_salmon, oncorhynchus_nerka",
"chinook, chinook_salmon, king_salmon, quinnat_salmon, oncorhynchus_tshawytscha",
"coho, cohoe, coho_salmon, blue_jack, silver_salmon, oncorhynchus_kisutch",
"trout",
"brown_trout, salmon_trout, salmo_trutta",
"rainbow_trout, salmo_gairdneri",
"sea_trout",
"lake_trout, salmon_trout, salvelinus_namaycush",
"brook_trout, speckled_trout, salvelinus_fontinalis",
"char, charr",
"arctic_char, salvelinus_alpinus",
"whitefish",
"lake_whitefish, coregonus_clupeaformis",
"cisco, lake_herring, coregonus_artedi",
"round_whitefish, menominee_whitefish, prosopium_cylindraceum",
"smelt",
"sparling, european_smelt, osmerus_eperlanus",
"capelin, capelan, caplin",
"tarpon, tarpon_atlanticus",
"ladyfish, tenpounder, elops_saurus",
"bonefish, albula_vulpes",
"argentine",
"lanternfish",
"lizardfish, snakefish, snake-fish",
"lancetfish, lancet_fish, wolffish",
"opah, moonfish, lampris_regius",
"new_world_opah, lampris_guttatus",
"ribbonfish",
"dealfish, trachipterus_arcticus",
"oarfish, king_of_the_herring, ribbonfish, regalecus_glesne",
"batfish",
"goosefish, angler, anglerfish, angler_fish, monkfish, lotte, allmouth, lophius_americanus",
"toadfish, opsanus_tau",
"oyster_fish, oyster-fish, oysterfish",
"frogfish",
"sargassum_fish",
"needlefish, gar, billfish",
"timucu",
"flying_fish",
"monoplane_flying_fish, two-wing_flying_fish",
"halfbeak",
"saury, billfish, scomberesox_saurus",
"spiny-finned_fish, acanthopterygian",
"lingcod, ophiodon_elongatus",
"percoid_fish, percoid, percoidean",
"perch",
"climbing_perch, anabas_testudineus, a._testudineus",
"perch",
"yellow_perch, perca_flavescens",
"european_perch, perca_fluviatilis",
"pike-perch, pike_perch",
"walleye, walleyed_pike, jack_salmon, dory, stizostedion_vitreum",
"blue_pike, blue_pickerel, blue_pikeperch, blue_walleye, strizostedion_vitreum_glaucum",
"snail_darter, percina_tanasi",
"cusk-eel",
"brotula",
"pearlfish, pearl-fish",
"robalo",
"snook",
"pike",
"northern_pike, esox_lucius",
"muskellunge, esox_masquinongy",
"pickerel",
"chain_pickerel, chain_pike, esox_niger",
"redfin_pickerel, barred_pickerel, esox_americanus",
"sunfish, centrarchid",
"crappie",
"black_crappie, pomoxis_nigromaculatus",
"white_crappie, pomoxis_annularis",
"freshwater_bream, bream",
"pumpkinseed, lepomis_gibbosus",
"bluegill, lepomis_macrochirus",
"spotted_sunfish, stumpknocker, lepomis_punctatus",
"freshwater_bass",
"rock_bass, rock_sunfish, ambloplites_rupestris",
"black_bass",
"kentucky_black_bass, spotted_black_bass, micropterus_pseudoplites",
"smallmouth, smallmouth_bass, smallmouthed_bass, smallmouth_black_bass, smallmouthed_black_bass, micropterus_dolomieu",
"largemouth, largemouth_bass, largemouthed_bass, largemouth_black_bass, largemouthed_black_bass, micropterus_salmoides",
"bass",
"serranid_fish, serranid",
"white_perch, silver_perch, morone_americana",
"yellow_bass, morone_interrupta",
"blackmouth_bass, synagrops_bellus",
"rock_sea_bass, rock_bass, centropristis_philadelphica",
"striped_bass, striper, roccus_saxatilis, rockfish",
"stone_bass, wreckfish, polyprion_americanus",
"grouper",
"hind",
"rock_hind, epinephelus_adscensionis",
"creole-fish, paranthias_furcifer",
"jewfish, mycteroperca_bonaci",
"soapfish",
"surfperch, surffish, surf_fish",
"rainbow_seaperch, rainbow_perch, hipsurus_caryi",
"bigeye",
"catalufa, priacanthus_arenatus",
"cardinalfish",
"flame_fish, flamefish, apogon_maculatus",
"tilefish, lopholatilus_chamaeleonticeps",
"bluefish, pomatomus_saltatrix",
"cobia, rachycentron_canadum, sergeant_fish",
"remora, suckerfish, sucking_fish",
"sharksucker, echeneis_naucrates",
"whale_sucker, whalesucker, remilegia_australis",
"carangid_fish, carangid",
"jack",
"crevalle_jack, jack_crevalle, caranx_hippos",
"yellow_jack, caranx_bartholomaei",
"runner, blue_runner, caranx_crysos",
"rainbow_runner, elagatis_bipinnulata",
"leatherjacket, leatherjack",
"threadfish, thread-fish, alectis_ciliaris",
"moonfish, atlantic_moonfish, horsefish, horsehead, horse-head, dollarfish, selene_setapinnis",
"lookdown, lookdown_fish, selene_vomer",
"amberjack, amberfish",
"yellowtail, seriola_dorsalis",
"kingfish, seriola_grandis",
"pompano",
"florida_pompano, trachinotus_carolinus",
"permit, trachinotus_falcatus",
"scad",
"horse_mackerel, jack_mackerel, spanish_mackerel, saurel, trachurus_symmetricus",
"horse_mackerel, saurel, trachurus_trachurus",
"bigeye_scad, big-eyed_scad, goggle-eye, selar_crumenophthalmus",
"mackerel_scad, mackerel_shad, decapterus_macarellus",
"round_scad, cigarfish, quiaquia, decapterus_punctatus",
"dolphinfish, dolphin, mahimahi",
"coryphaena_hippurus",
"coryphaena_equisetis",
"pomfret, brama_raii",
"characin, characin_fish, characid",
"tetra",
"cardinal_tetra, paracheirodon_axelrodi",
"piranha, pirana, caribe",
"cichlid, cichlid_fish",
"bolti, tilapia_nilotica",
"snapper",
"red_snapper, lutjanus_blackfordi",
"grey_snapper, gray_snapper, mangrove_snapper, lutjanus_griseus",
"mutton_snapper, muttonfish, lutjanus_analis",
"schoolmaster, lutjanus_apodus",
"yellowtail, yellowtail_snapper, ocyurus_chrysurus",
"grunt",
"margate, haemulon_album",
"spanish_grunt, haemulon_macrostomum",
"tomtate, haemulon_aurolineatum",
"cottonwick, haemulon_malanurum",
"sailor's-choice, sailors_choice, haemulon_parra",
"porkfish, pork-fish, anisotremus_virginicus",
"pompon, black_margate, anisotremus_surinamensis",
"pigfish, hogfish, orthopristis_chrysopterus",
"sparid, sparid_fish",
"sea_bream, bream",
"porgy",
"red_porgy, pagrus_pagrus",
"european_sea_bream, pagellus_centrodontus",
"atlantic_sea_bream, archosargus_rhomboidalis",
"sheepshead, archosargus_probatocephalus",
"pinfish, sailor's-choice, squirrelfish, lagodon_rhomboides",
"sheepshead_porgy, calamus_penna",
"snapper, chrysophrys_auratus",
"black_bream, chrysophrys_australis",
"scup, northern_porgy, northern_scup, stenotomus_chrysops",
"scup, southern_porgy, southern_scup, stenotomus_aculeatus",
"sciaenid_fish, sciaenid",
"striped_drum, equetus_pulcher",
"jackknife-fish, equetus_lanceolatus",
"silver_perch, mademoiselle, bairdiella_chrysoura",
"red_drum, channel_bass, redfish, sciaenops_ocellatus",
"mulloway, jewfish, sciaena_antarctica",
"maigre, maiger, sciaena_aquila",
"croaker",
"atlantic_croaker, micropogonias_undulatus",
"yellowfin_croaker, surffish, surf_fish, umbrina_roncador",
"whiting",
"kingfish",
"king_whiting, menticirrhus_americanus",
"northern_whiting, menticirrhus_saxatilis",
"corbina, menticirrhus_undulatus",
"white_croaker, chenfish, kingfish, genyonemus_lineatus",
"white_croaker, queenfish, seriphus_politus",
"sea_trout",
"weakfish, cynoscion_regalis",
"spotted_weakfish, spotted_sea_trout, spotted_squeateague, cynoscion_nebulosus",
"mullet",
"goatfish, red_mullet, surmullet, mullus_surmuletus",
"red_goatfish, mullus_auratus",
"yellow_goatfish, mulloidichthys_martinicus",
"mullet, grey_mullet, gray_mullet",
"striped_mullet, mugil_cephalus",
"white_mullet, mugil_curema",
"liza, mugil_liza",
"silversides, silverside",
"jacksmelt, atherinopsis_californiensis",
"barracuda",
"great_barracuda, sphyraena_barracuda",
"sweeper",
"sea_chub",
"bermuda_chub, rudderfish, kyphosus_sectatrix",
"spadefish, angelfish, chaetodipterus_faber",
"butterfly_fish",
"chaetodon",
"angelfish",
"rock_beauty, holocanthus_tricolor",
"damselfish, demoiselle",
"beaugregory, pomacentrus_leucostictus",
"anemone_fish",
"clown_anemone_fish, amphiprion_percula",
"sergeant_major, abudefduf_saxatilis",
"wrasse",
"pigfish, giant_pigfish, achoerodus_gouldii",
"hogfish, hog_snapper, lachnolaimus_maximus",
"slippery_dick, halicoeres_bivittatus",
"puddingwife, pudding-wife, halicoeres_radiatus",
"bluehead, thalassoma_bifasciatum",
"pearly_razorfish, hemipteronatus_novacula",
"tautog, blackfish, tautoga_onitis",
"cunner, bergall, tautogolabrus_adspersus",
"parrotfish, polly_fish, pollyfish",
"threadfin",
"jawfish",
"stargazer",
"sand_stargazer",
"blenny, combtooth_blenny",
"shanny, blennius_pholis",
"molly_miller, scartella_cristata",
"clinid, clinid_fish",
"pikeblenny",
"bluethroat_pikeblenny, chaenopsis_ocellata",
"gunnel, bracketed_blenny",
"rock_gunnel, butterfish, pholis_gunnellus",
"eelblenny",
"wrymouth, ghostfish, cryptacanthodes_maculatus",
"wolffish, wolf_fish, catfish",
"viviparous_eelpout, zoarces_viviparus",
"ocean_pout, macrozoarces_americanus",
"sand_lance, sand_launce, sand_eel, launce",
"dragonet",
"goby, gudgeon",
"mudskipper, mudspringer",
"sleeper, sleeper_goby",
"flathead",
"archerfish, toxotes_jaculatrix",
"surgeonfish",
"gempylid",
"snake_mackerel, gempylus_serpens",
"escolar, lepidocybium_flavobrunneum",
"oilfish, ruvettus_pretiosus",
"cutlassfish, frost_fish, hairtail",
"scombroid, scombroid_fish",
"mackerel",
"common_mackerel, shiner, scomber_scombrus",
"spanish_mackerel, scomber_colias",
"chub_mackerel, tinker, scomber_japonicus",
"wahoo, acanthocybium_solandri",
"spanish_mackerel",
"king_mackerel, cavalla, cero, scomberomorus_cavalla",
"scomberomorus_maculatus",
"cero, pintado, kingfish, scomberomorus_regalis",
"sierra, scomberomorus_sierra",
"tuna, tunny",
"albacore, long-fin_tunny, thunnus_alalunga",
"bluefin, bluefin_tuna, horse_mackerel, thunnus_thynnus",
"yellowfin, yellowfin_tuna, thunnus_albacares",
"bonito",
"skipjack, atlantic_bonito, sarda_sarda",
"chile_bonito, chilean_bonito, pacific_bonito, sarda_chiliensis",
"skipjack, skipjack_tuna, euthynnus_pelamis",
"bonito, oceanic_bonito, katsuwonus_pelamis",
"swordfish, xiphias_gladius",
"sailfish",
"atlantic_sailfish, istiophorus_albicans",
"billfish",
"marlin",
"blue_marlin, makaira_nigricans",
"black_marlin, makaira_mazara, makaira_marlina",
"striped_marlin, makaira_mitsukurii",
"white_marlin, makaira_albida",
"spearfish",
"louvar, luvarus_imperialis",
"dollarfish, poronotus_triacanthus",
"palometa, california_pompano, palometa_simillima",
"harvestfish, paprilus_alepidotus",
"driftfish",
"barrelfish, black_rudderfish, hyperglyphe_perciformis",
"clingfish",
"tripletail",
"atlantic_tripletail, lobotes_surinamensis",
"pacific_tripletail, lobotes_pacificus",
"mojarra",
"yellowfin_mojarra, gerres_cinereus",
"silver_jenny, eucinostomus_gula",
"whiting",
"ganoid, ganoid_fish",
"bowfin, grindle, dogfish, amia_calva",
"paddlefish, duckbill, polyodon_spathula",
"chinese_paddlefish, psephurus_gladis",
"sturgeon",
"pacific_sturgeon, white_sturgeon, sacramento_sturgeon, acipenser_transmontanus",
"beluga, hausen, white_sturgeon, acipenser_huso",
"gar, garfish, garpike, billfish, lepisosteus_osseus",
"scorpaenoid, scorpaenoid_fish",
"scorpaenid, scorpaenid_fish",
"scorpionfish, scorpion_fish, sea_scorpion",
"plumed_scorpionfish, scorpaena_grandicornis",
"lionfish",
"stonefish, synanceja_verrucosa",
"rockfish",
"copper_rockfish, sebastodes_caurinus",
"vermillion_rockfish, rasher, sebastodes_miniatus",
"red_rockfish, sebastodes_ruberrimus",
"rosefish, ocean_perch, sebastodes_marinus",
"bullhead",
"miller's-thumb",
"sea_raven, hemitripterus_americanus",
"lumpfish, cyclopterus_lumpus",
"lumpsucker",
"pogge, armed_bullhead, agonus_cataphractus",
"greenling",
"kelp_greenling, hexagrammos_decagrammus",
"painted_greenling, convict_fish, convictfish, oxylebius_pictus",
"flathead",
"gurnard",
"tub_gurnard, yellow_gurnard, trigla_lucerna",
"sea_robin, searobin",
"northern_sea_robin, prionotus_carolinus",
"flying_gurnard, flying_robin, butterflyfish",
"plectognath, plectognath_fish",
"triggerfish",
"queen_triggerfish, bessy_cerca, oldwench, oldwife, balistes_vetula",
"filefish",
"leatherjacket, leatherfish",
"boxfish, trunkfish",
"cowfish, lactophrys_quadricornis",
"puffer, pufferfish, blowfish, globefish",
"spiny_puffer",
"porcupinefish, porcupine_fish, diodon_hystrix",
"balloonfish, diodon_holocanthus",
"burrfish",
"ocean_sunfish, sunfish, mola, headfish",
"sharptail_mola, mola_lanceolata",
"flatfish",
"flounder",
"righteye_flounder, righteyed_flounder",
"plaice, pleuronectes_platessa",
"european_flatfish, platichthys_flesus",
"yellowtail_flounder, limanda_ferruginea",
"winter_flounder, blackback_flounder, lemon_sole, pseudopleuronectes_americanus",
"lemon_sole, microstomus_kitt",
"american_plaice, hippoglossoides_platessoides",
"halibut, holibut",
"atlantic_halibut, hippoglossus_hippoglossus",
"pacific_halibut, hippoglossus_stenolepsis",
"lefteye_flounder, lefteyed_flounder",
"southern_flounder, paralichthys_lethostigmus",
"summer_flounder, paralichthys_dentatus",
"whiff",
"horned_whiff, citharichthys_cornutus",
"sand_dab",
"windowpane, scophthalmus_aquosus",
"brill, scophthalmus_rhombus",
"turbot, psetta_maxima",
"tonguefish, tongue-fish",
"sole",
"european_sole, solea_solea",
"english_sole, lemon_sole, parophrys_vitulus",
"hogchoker, trinectes_maculatus",
"aba",
"abacus",
"abandoned_ship, derelict",
"a_battery",
"abattoir, butchery, shambles, slaughterhouse",
"abaya",
"abbe_condenser",
"abbey",
"abbey",
"abbey",
"abney_level",
"abrader, abradant",
"abrading_stone",
"abutment",
"abutment_arch",
"academic_costume",
"academic_gown, academic_robe, judge's_robe",
"accelerator, throttle, throttle_valve",
"accelerator, particle_accelerator, atom_smasher",
"accelerator, accelerator_pedal, gas_pedal, gas, throttle, gun",
"accelerometer",
"accessory, accoutrement, accouterment",
"accommodating_lens_implant, accommodating_iol",
"accommodation",
"accordion, piano_accordion, squeeze_box",
"acetate_disk, phonograph_recording_disk",
"acetate_rayon, acetate",
"achromatic_lens",
"acoustic_delay_line, sonic_delay_line",
"acoustic_device",
"acoustic_guitar",
"acoustic_modem",
"acropolis",
"acrylic",
"acrylic, acrylic_paint",
"actinometer",
"action, action_mechanism",
"active_matrix_screen",
"actuator",
"adapter, adaptor",
"adder",
"adding_machine, totalizer, totaliser",
"addressing_machine, addressograph",
"adhesive_bandage",
"adit",
"adjoining_room",
"adjustable_wrench, adjustable_spanner",
"adobe, adobe_brick",
"adz, adze",
"aeolian_harp, aeolian_lyre, wind_harp",
"aerator",
"aerial_torpedo",
"aerosol, aerosol_container, aerosol_can, aerosol_bomb, spray_can",
"aertex",
"afghan",
"afro-wig",
"afterburner",
"after-shave, after-shave_lotion",
"agateware",
"agglomerator",
"aglet, aiglet, aiguilette",
"aglet, aiglet",
"agora, public_square",
"aigrette, aigret",
"aileron",
"air_bag",
"airbrake",
"airbrush",
"airbus",
"air_compressor",
"air_conditioner, air_conditioning",
"aircraft",
"aircraft_carrier, carrier, flattop, attack_aircraft_carrier",
"aircraft_engine",
"air_cushion, air_spring",
"airdock, hangar, repair_shed",
"airfield, landing_field, flying_field, field",
"air_filter, air_cleaner",
"airfoil, aerofoil, control_surface, surface",
"airframe",
"air_gun, airgun, air_rifle",
"air_hammer, jackhammer, pneumatic_hammer",
"air_horn",
"airing_cupboard",
"airliner",
"airmailer",
"airplane, aeroplane, plane",
"airplane_propeller, airscrew, prop",
"airport, airdrome, aerodrome, drome",
"air_pump, vacuum_pump",
"air_search_radar",
"airship, dirigible",
"air_terminal, airport_terminal",
"air-to-air_missile",
"air-to-ground_missile, air-to-surface_missile",
"aisle",
"aladdin's_lamp",
"alarm, warning_device, alarm_system",
"alarm_clock, alarm",
"alb",
"alcazar",
"alcohol_thermometer, alcohol-in-glass_thermometer",
"alehouse",
"alembic",
"algometer",
"alidade, alidad",
"alidade, alidad",
"a-line",
"allen_screw",
"allen_wrench",
"alligator_wrench",
"alms_dish, alms_tray",
"alpaca",
"alpenstock",
"altar",
"altar, communion_table, lord's_table",
"altarpiece, reredos",
"altazimuth",
"alternator",
"altimeter",
"amati",
"ambulance",
"amen_corner",
"american_organ",
"ammeter",
"ammonia_clock",
"ammunition, ammo",
"amphibian, amphibious_aircraft",
"amphibian, amphibious_vehicle",
"amphitheater, amphitheatre, coliseum",
"amphitheater, amphitheatre",
"amphora",
"amplifier",
"ampulla",
"amusement_arcade",
"analog_clock",
"analog_computer, analogue_computer",
"analog_watch",
"analytical_balance, chemical_balance",
"analyzer, analyser",
"anamorphosis, anamorphism",
"anastigmat",
"anchor, ground_tackle",
"anchor_chain, anchor_rope",
"anchor_light, riding_light, riding_lamp",
"and_circuit, and_gate",
"andiron, firedog, dog, dog-iron",
"android, humanoid, mechanical_man",
"anechoic_chamber",
"anemometer, wind_gauge, wind_gage",
"aneroid_barometer, aneroid",
"angiocardiogram",
"angioscope",
"angle_bracket, angle_iron",
"angledozer",
"ankle_brace",
"anklet, anklets, bobbysock, bobbysocks",
"anklet",
"ankus",
"anode",
"anode",
"answering_machine",
"antenna, aerial, transmitting_aerial",
"anteroom, antechamber, entrance_hall, hall, foyer, lobby, vestibule",
"antiaircraft, antiaircraft_gun, flak, flack, pom-pom, ack-ack, ack-ack_gun",
"antiballistic_missile, abm",
"antifouling_paint",
"anti-g_suit, g_suit",
"antimacassar",
"antiperspirant",
"anti-submarine_rocket",
"anvil",
"ao_dai",
"apadana",
"apartment, flat",
"apartment_building, apartment_house",
"aperture",
"aperture",
"apiary, bee_house",
"apparatus, setup",
"apparel, wearing_apparel, dress, clothes",
"applecart",
"appliance",
"appliance, contraption, contrivance, convenience, gadget, gizmo, gismo, widget",
"applicator, applier",
"appointment, fitting",
"apron",
"apron_string",
"apse, apsis",
"aqualung, aqua-lung, scuba",
"aquaplane",
"aquarium, fish_tank, marine_museum",
"arabesque",
"arbor, arbour, bower, pergola",
"arcade, colonnade",
"arch",
"architecture",
"architrave",
"arch_support",
"arc_lamp, arc_light",
"arctic, galosh, golosh, rubber, gumshoe",
"area",
"areaway",
"argyle, argyll",
"ark",
"arm",
"armament",
"armature",
"armband",
"armchair",
"armet",
"arm_guard, arm_pad",
"armhole",
"armilla",
"armlet, arm_band",
"armoire",
"armor, armour",
"armored_car, armoured_car",
"armored_car, armoured_car",
"armored_personnel_carrier, armoured_personnel_carrier, apc",
"armored_vehicle, armoured_vehicle",
"armor_plate, armour_plate, armor_plating, plate_armor, plate_armour",
"armory, armoury, arsenal",
"armrest",
"arquebus, harquebus, hackbut, hagbut",
"array",
"array, raiment, regalia",
"arrester, arrester_hook",
"arrow",
"arsenal, armory, armoury",
"arterial_road",
"arthrogram",
"arthroscope",
"artificial_heart",
"artificial_horizon, gyro_horizon, flight_indicator",
"artificial_joint",
"artificial_kidney, hemodialyzer",
"artificial_skin",
"artillery, heavy_weapon, gun, ordnance",
"artillery_shell",
"artist's_loft",
"art_school",
"ascot",
"ashcan, trash_can, garbage_can, wastebin, ash_bin, ash-bin, ashbin, dustbin, trash_barrel, trash_bin",
"ash-pan",
"ashtray",
"aspergill, aspersorium",
"aspersorium",
"aspirator",
"aspirin_powder, headache_powder",
"assault_gun",
"assault_rifle, assault_gun",
"assegai, assagai",
"assembly",
"assembly",
"assembly_hall",
"assembly_plant",
"astatic_coils",
"astatic_galvanometer",
"astrodome",
"astrolabe",
"astronomical_telescope",
"astronomy_satellite",
"athenaeum, atheneum",
"athletic_sock, sweat_sock, varsity_sock",
"athletic_supporter, supporter, suspensor, jockstrap, jock",
"atlas, telamon",
"atmometer, evaporometer",
"atom_bomb, atomic_bomb, a-bomb, fission_bomb, plutonium_bomb",
"atomic_clock",
"atomic_pile, atomic_reactor, pile, chain_reactor",
"atomizer, atomiser, spray, sprayer, nebulizer, nebuliser",
"atrium",
"attache_case, attache",
"attachment, bond",
"attack_submarine",
"attenuator",
"attic",
"attic_fan",
"attire, garb, dress",
"audio_amplifier",
"audiocassette",
"audio_cd, audio_compact_disc",
"audiometer, sonometer",
"audio_system, sound_system",
"audiotape",
"audiotape",
"audiovisual, audiovisual_aid",
"auditorium",
"auger, gimlet, screw_auger, wimble",
"autobahn",
"autoclave, sterilizer, steriliser",
"autofocus",
"autogiro, autogyro, gyroplane",
"autoinjector",
"autoloader, self-loader",
"automat",
"automat",
"automatic_choke",
"automatic_firearm, automatic_gun, automatic_weapon",
"automatic_pistol, automatic",
"automatic_rifle, automatic, machine_rifle",
"automatic_transmission, automatic_drive",
"automation",
"automaton, robot, golem",
"automobile_engine",
"automobile_factory, auto_factory, car_factory",
"automobile_horn, car_horn, motor_horn, horn, hooter",
"autopilot, automatic_pilot, robot_pilot",
"autoradiograph",
"autostrada",
"auxiliary_boiler, donkey_boiler",
"auxiliary_engine, donkey_engine",
"auxiliary_pump, donkey_pump",
"auxiliary_research_submarine",
"auxiliary_storage, external_storage, secondary_storage",
"aviary, bird_sanctuary, volary",
"awl",
"awning, sunshade, sunblind",
"ax, axe",
"ax_handle, axe_handle",
"ax_head, axe_head",
"axis, axis_of_rotation",
"axle",
"axle_bar",
"axletree",
"babushka",
"baby_bed, baby's_bed",
"baby_buggy, baby_carriage, carriage, perambulator, pram, stroller, go-cart, pushchair, pusher",
"baby_grand, baby_grand_piano, parlor_grand, parlor_grand_piano, parlour_grand, parlour_grand_piano",
"baby_powder",
"baby_shoe",
"back, backrest",
"back",
"backbench",
"backboard",
"backboard, basketball_backboard",
"backbone",
"back_brace",
"backgammon_board",
"background, desktop, screen_background",
"backhoe",
"backlighting",
"backpack, back_pack, knapsack, packsack, rucksack, haversack",
"backpacking_tent, pack_tent",
"backplate",
"back_porch",
"backsaw, back_saw",
"backscratcher",
"backseat",
"backspace_key, backspace, backspacer",
"backstairs",
"backstay",
"backstop",
"backsword",
"backup_system",
"badminton_court",
"badminton_equipment",
"badminton_racket, badminton_racquet, battledore",
"bag",
"bag, traveling_bag, travelling_bag, grip, suitcase",
"bag, handbag, pocketbook, purse",
"baggage, luggage",
"baggage",
"baggage_car, luggage_van",
"baggage_claim",
"bagpipe",
"bailey",
"bailey",
"bailey_bridge",
"bain-marie",
"bait, decoy, lure",
"baize",
"bakery, bakeshop, bakehouse",
"balaclava, balaclava_helmet",
"balalaika",
"balance",
"balance_beam, beam",
"balance_wheel, balance",
"balbriggan",
"balcony",
"balcony",
"baldachin",
"baldric, baldrick",
"bale",
"baling_wire",
"ball",
"ball",
"ball_and_chain",
"ball-and-socket_joint",
"ballast, light_ballast",
"ball_bearing, needle_bearing, roller_bearing",
"ball_cartridge",
"ballcock, ball_cock",
"balldress",
"ballet_skirt, tutu",
"ball_gown",
"ballistic_galvanometer",
"ballistic_missile",
"ballistic_pendulum",
"ballistocardiograph, cardiograph",
"balloon",
"balloon_bomb, fugo",
"balloon_sail",
"ballot_box",
"ballpark, park",
"ball-peen_hammer",
"ballpoint, ballpoint_pen, ballpen, biro",
"ballroom, dance_hall, dance_palace",
"ball_valve",
"balsa_raft, kon_tiki",
"baluster",
"banana_boat",
"band",
"bandage, patch",
"band_aid",
"bandanna, bandana",
"bandbox",
"banderilla",
"bandoleer, bandolier",
"bandoneon",
"bandsaw, band_saw",
"bandwagon",
"bangalore_torpedo",
"bangle, bauble, gaud, gewgaw, novelty, fallal, trinket",
"banjo",
"banner, streamer",
"bannister, banister, balustrade, balusters, handrail",
"banquette",
"banyan, banian",
"baptismal_font, baptistry, baptistery, font",
"bar",
"bar",
"barbecue, barbeque",
"barbed_wire, barbwire",
"barbell",
"barber_chair",
"barbershop",
"barbette_carriage",
"barbican, barbacan",
"bar_bit",
"bareboat",
"barge, flatboat, hoy, lighter",
"barge_pole",
"baritone, baritone_horn",
"bark, barque",
"bar_magnet",
"bar_mask",
"barn",
"barndoor",
"barn_door",
"barnyard",
"barograph",
"barometer",
"barong",
"barouche",
"bar_printer",
"barrack",
"barrage_balloon",
"barrel, cask",
"barrel, gun_barrel",
"barrelhouse, honky-tonk",
"barrel_knot, blood_knot",
"barrel_organ, grind_organ, hand_organ, hurdy_gurdy, hurdy-gurdy, street_organ",
"barrel_vault",
"barrette",
"barricade",
"barrier",
"barroom, bar, saloon, ginmill, taproom",
"barrow, garden_cart, lawn_cart, wheelbarrow",
"bascule",
"base, pedestal, stand",
"base, bag",
"baseball",
"baseball_bat, lumber",
"baseball_cap, jockey_cap, golf_cap",
"baseball_equipment",
"baseball_glove, glove, baseball_mitt, mitt",
"basement, cellar",
"basement",
"basic_point_defense_missile_system",
"basilica, roman_basilica",
"basilica",
"basilisk",
"basin",
"basinet",
"basket, handbasket",
"basket, basketball_hoop, hoop",
"basketball",
"basketball_court",
"basketball_equipment",
"basket_weave",
"bass",
"bass_clarinet",
"bass_drum, gran_casa",
"basset_horn",
"bass_fiddle, bass_viol, bull_fiddle, double_bass, contrabass, string_bass",
"bass_guitar",
"bass_horn, sousaphone, tuba",
"bassinet",
"bassinet",
"bassoon",
"baster",
"bastinado",
"bastion",
"bastion, citadel",
"bat",
"bath",
"bath_chair",
"bathhouse, bagnio",
"bathhouse, bathing_machine",
"bathing_cap, swimming_cap",
"bath_oil",
"bathrobe",
"bathroom, bath",
"bath_salts",
"bath_towel",
"bathtub, bathing_tub, bath, tub",
"bathyscaphe, bathyscaph, bathyscape",
"bathysphere",
"batik",
"batiste",
"baton, wand",
"baton",
"baton",
"baton",
"battering_ram",
"batter's_box",
"battery, electric_battery",
"battery, stamp_battery",
"batting_cage, cage",
"batting_glove",
"batting_helmet",
"battle-ax, battle-axe",
"battle_cruiser",
"battle_dress",
"battlement, crenelation, crenellation",
"battleship, battlewagon",
"battle_sight, battlesight",
"bay",
"bay",
"bayonet",
"bay_rum",
"bay_window, bow_window",
"bazaar, bazar",
"bazaar, bazar",
"bazooka",
"b_battery",
"bb_gun",
"beach_house",
"beach_towel",
"beach_wagon, station_wagon, wagon, estate_car, beach_waggon, station_waggon, waggon",
"beachwear",
"beacon, lighthouse, beacon_light, pharos",
"beading_plane",
"beaker",
"beaker",
"beam",
"beam_balance",
"beanbag",
"beanie, beany",
"bearing",
"bearing_rein, checkrein",
"bearing_wall",
"bearskin, busby, shako",
"beater",
"beating-reed_instrument, reed_instrument, reed",
"beaver, castor",
"beaver",
"beckman_thermometer",
"bed",
"bed",
"bed_and_breakfast, bed-and-breakfast",
"bedclothes, bed_clothing, bedding",
"bedford_cord",
"bed_jacket",
"bedpan",
"bedpost",
"bedroll",
"bedroom, sleeping_room, sleeping_accommodation, chamber, bedchamber",
"bedroom_furniture",
"bedsitting_room, bedsitter, bedsit",
"bedspread, bedcover, bed_cover, bed_covering, counterpane, spread",
"bedspring",
"bedstead, bedframe",
"beefcake",
"beehive, hive",
"beeper, pager",
"beer_barrel, beer_keg",
"beer_bottle",
"beer_can",
"beer_garden",
"beer_glass",
"beer_hall",
"beer_mat",
"beer_mug, stein",
"belaying_pin",
"belfry",
"bell",
"bell_arch",
"bellarmine, longbeard, long-beard, greybeard",
"bellbottom_trousers, bell-bottoms, bellbottom_pants",
"bell_cote, bell_cot",
"bell_foundry",
"bell_gable",
"bell_jar, bell_glass",
"bellows",
"bellpull",
"bell_push",
"bell_seat, balloon_seat",
"bell_tent",
"bell_tower",
"bellyband",
"belt",
"belt, belt_ammunition, belted_ammunition",
"belt_buckle",
"belting",
"bench",
"bench_clamp",
"bench_hook",
"bench_lathe",
"bench_press",
"bender",
"beret",
"berlin",
"bermuda_shorts, jamaica_shorts",
"berth, bunk, built_in_bed",
"besom",
"bessemer_converter",
"bethel",
"betting_shop",
"bevatron",
"bevel, bevel_square",
"bevel_gear, pinion_and_crown_wheel, pinion_and_ring_gear",
"b-flat_clarinet, licorice_stick",
"bib",
"bib-and-tucker",
"bicorn, bicorne",
"bicycle, bike, wheel, cycle",
"bicycle-built-for-two, tandem_bicycle, tandem",
"bicycle_chain",
"bicycle_clip, trouser_clip",
"bicycle_pump",
"bicycle_rack",
"bicycle_seat, saddle",
"bicycle_wheel",
"bidet",
"bier",
"bier",
"bi-fold_door",
"bifocals",
"big_blue, blu-82",
"big_board",
"bight",
"bikini, two-piece",
"bikini_pants",
"bilge",
"bilge_keel",
"bilge_pump",
"bilge_well",
"bill, peak, eyeshade, visor, vizor",
"bill, billhook",
"billboard, hoarding",
"billiard_ball",
"billiard_room, billiard_saloon, billiard_parlor, billiard_parlour, billiard_hall",
"bin",
"binder, ligature",
"binder, ring-binder",
"bindery",
"binding, book_binding, cover, back",
"bin_liner",
"binnacle",
"binoculars, field_glasses, opera_glasses",
"binocular_microscope",
"biochip",
"biohazard_suit",
"bioscope",
"biplane",
"birch, birch_rod",
"birchbark_canoe, birchbark, birch_bark",
"birdbath",
"birdcage",
"birdcall",
"bird_feeder, birdfeeder, feeder",
"birdhouse",
"bird_shot, buckshot, duck_shot",
"biretta, berretta, birretta",
"bishop",
"bistro",
"bit",
"bit",
"bite_plate, biteplate",
"bitewing",
"bitumastic",
"black",
"black",
"blackboard, chalkboard",
"blackboard_eraser",
"black_box",
"blackface",
"blackjack, cosh, sap",
"black_tie",
"blackwash",
"bladder",
"blade",
"blade, vane",
"blade",
"blank, dummy, blank_shell",
"blanket, cover",
"blast_furnace",
"blasting_cap",
"blazer, sport_jacket, sport_coat, sports_jacket, sports_coat",
"blender, liquidizer, liquidiser",
"blimp, sausage_balloon, sausage",
"blind, screen",
"blind_curve, blind_bend",
"blindfold",
"bling, bling_bling",
"blinker, flasher",
"blister_pack, bubble_pack",
"block",
"blockade",
"blockade-runner",
"block_and_tackle",
"blockbuster",
"blockhouse",
"block_plane",
"bloodmobile",
"bloomers, pants, drawers, knickers",
"blouse",
"blower",
"blowtorch, torch, blowlamp",
"blucher",
"bludgeon",
"blue",
"blue_chip",
"blunderbuss",
"blunt_file",
"boarding",
"boarding_house, boardinghouse",
"boardroom, council_chamber",
"boards",
"boat",
"boater, leghorn, panama, panama_hat, sailor, skimmer, straw_hat",
"boat_hook",
"boathouse",
"boatswain's_chair, bosun's_chair",
"boat_train",
"boatyard",
"bobbin, spool, reel",
"bobby_pin, hairgrip, grip",
"bobsled, bobsleigh, bob",
"bobsled, bobsleigh",
"bocce_ball, bocci_ball, boccie_ball",
"bodega",
"bodice",
"bodkin, threader",
"bodkin",
"bodkin",
"body",
"body_armor, body_armour, suit_of_armor, suit_of_armour, coat_of_mail, cataphract",
"body_lotion",
"body_stocking",
"body_plethysmograph",
"body_pad",
"bodywork",
"bofors_gun",
"bogy, bogie, bogey",
"boiler, steam_boiler",
"boiling_water_reactor, bwr",
"bolero",
"bollard, bitt",
"bolo, bolo_knife",
"bolo_tie, bolo, bola_tie, bola",
"bolt",
"bolt, deadbolt",
"bolt",
"bolt_cutter",
"bomb",
"bombazine",
"bomb_calorimeter, bomb",
"bomber",
"bomber_jacket",
"bomblet, cluster_bomblet",
"bomb_rack",
"bombshell",
"bomb_shelter, air-raid_shelter, bombproof",
"bone-ash_cup, cupel, refractory_pot",
"bone_china",
"bones, castanets, clappers, finger_cymbals",
"boneshaker",
"bongo, bongo_drum",
"bonnet, poke_bonnet",
"book",
"book_bag",
"bookbindery",
"bookcase",
"bookend",
"bookmark, bookmarker",
"bookmobile",
"bookshelf",
"bookshop, bookstore, bookstall",
"boom",
"boom, microphone_boom",
"boomerang, throwing_stick, throw_stick",
"booster, booster_rocket, booster_unit, takeoff_booster, takeoff_rocket",
"booster, booster_amplifier, booster_station, relay_link, relay_station, relay_transmitter",
"boot",
"boot",
"boot_camp",
"bootee, bootie",
"booth, cubicle, stall, kiosk",
"booth",
"booth",
"boothose",
"bootjack",
"bootlace",
"bootleg",
"bootstrap",
"bore_bit, borer, rock_drill, stone_drill",
"boron_chamber",
"borstal",
"bosom",
"boston_rocker",
"bota",
"bottle",
"bottle, feeding_bottle, nursing_bottle",
"bottle_bank",
"bottlebrush",
"bottlecap",
"bottle_opener",
"bottling_plant",
"bottom, freighter, merchantman, merchant_ship",
"boucle",
"boudoir",
"boulle, boule, buhl",
"bouncing_betty",
"bouquet, corsage, posy, nosegay",
"boutique, dress_shop",
"boutonniere",
"bow",
"bow",
"bow, bowknot",
"bow_and_arrow",
"bowed_stringed_instrument, string",
"bowie_knife",
"bowl",
"bowl",
"bowl",
"bowler_hat, bowler, derby_hat, derby, plug_hat",
"bowline, bowline_knot",
"bowling_alley",
"bowling_ball, bowl",
"bowling_equipment",
"bowling_pin, pin",
"bowling_shoe",
"bowsprit",
"bowstring",
"bow_tie, bow-tie, bowtie",
"box",
"box, loge",
"box, box_seat",
"box_beam, box_girder",
"box_camera, box_kodak",
"boxcar",
"box_coat",
"boxing_equipment",
"boxing_glove, glove",
"box_office, ticket_office, ticket_booth",
"box_spring",
"box_wrench, box_end_wrench",
"brace, bracing",
"brace, braces, orthodontic_braces",
"brace",
"brace, suspender, gallus",
"brace_and_bit",
"bracelet, bangle",
"bracer, armguard",
"brace_wrench",
"bracket, wall_bracket",
"bradawl, pricker",
"brake",
"brake",
"brake_band",
"brake_cylinder, hydraulic_brake_cylinder, master_cylinder",
"brake_disk",
"brake_drum, drum",
"brake_lining",
"brake_pad",
"brake_pedal",
"brake_shoe, shoe, skid",
"brake_system, brakes",
"brass, brass_instrument",
"brass, memorial_tablet, plaque",
"brass",
"brassard",
"brasserie",
"brassie",
"brassiere, bra, bandeau",
"brass_knucks, knucks, brass_knuckles, knuckles, knuckle_duster",
"brattice",
"brazier, brasier",
"breadbasket",
"bread-bin, breadbox",
"bread_knife",
"breakable",
"breakfast_area, breakfast_nook",
"breakfast_table",
"breakwater, groin, groyne, mole, bulwark, seawall, jetty",
"breast_drill",
"breast_implant",
"breastplate, aegis, egis",
"breast_pocket",
"breathalyzer, breathalyser",
"breechblock, breech_closer",
"breechcloth, breechclout, loincloth",
"breeches, knee_breeches, knee_pants, knickerbockers, knickers",
"breeches_buoy",
"breechloader",
"breeder_reactor",
"bren, bren_gun",
"brewpub",
"brick",
"brickkiln",
"bricklayer's_hammer",
"brick_trowel, mason's_trowel",
"brickwork",
"bridal_gown, wedding_gown, wedding_dress",
"bridge, span",
"bridge, nosepiece",
"bridle",
"bridle_path, bridle_road",
"bridoon",
"briefcase",
"briefcase_bomb",
"briefcase_computer",
"briefs, jockey_shorts",
"brig",
"brig",
"brigandine",
"brigantine, hermaphrodite_brig",
"brilliantine",
"brilliant_pebble",
"brim",
"bristle_brush",
"britches",
"broad_arrow",
"broadax, broadaxe",
"brochette",
"broadcaster, spreader",
"broadcloth",
"broadcloth",
"broad_hatchet",
"broadloom",
"broadside",
"broadsword",
"brocade",
"brogan, brogue, clodhopper, work_shoe",
"broiler",
"broken_arch",
"bronchoscope",
"broom",
"broom_closet",
"broomstick, broom_handle",
"brougham",
"browning_automatic_rifle, bar",
"browning_machine_gun, peacemaker",
"brownstone",
"brunch_coat",
"brush",
"brussels_carpet",
"brussels_lace",
"bubble",
"bubble_chamber",
"bubble_jet_printer, bubble-jet_printer, bubblejet",
"buckboard",
"bucket, pail",
"bucket_seat",
"bucket_shop",
"buckle",
"buckram",
"bucksaw",
"buckskins",
"buff, buffer",
"buffer, polisher",
"buffer, buffer_storage, buffer_store",
"buffet, counter, sideboard",
"buffing_wheel",
"buggy, roadster",
"bugle",
"building, edifice",
"building_complex, complex",
"bulldog_clip, alligator_clip",
"bulldog_wrench",
"bulldozer, dozer",
"bullet, slug",
"bulletproof_vest",
"bullet_train, bullet",
"bullhorn, loud_hailer, loud-hailer",
"bullion",
"bullnose, bullnosed_plane",
"bullpen, detention_cell, detention_centre",
"bullpen",
"bullring",
"bulwark",
"bumboat",
"bumper",
"bumper",
"bumper_car, dodgem",
"bumper_guard",
"bumper_jack",
"bundle, sheaf",
"bung, spile",
"bungalow, cottage",
"bungee, bungee_cord",
"bunghole",
"bunk",
"bunk, feed_bunk",
"bunk_bed, bunk",
"bunker, sand_trap, trap",
"bunker, dugout",
"bunker",
"bunsen_burner, bunsen, etna",
"bunting",
"bur, burr",
"burberry",
"burette, buret",
"burglar_alarm",
"burial_chamber, sepulcher, sepulchre, sepulture",
"burial_garment",
"burial_mound, grave_mound, barrow, tumulus",
"burin",
"burqa, burka",
"burlap, gunny",
"burn_bag",
"burner",
"burnous, burnoose, burnouse",
"burp_gun, machine_pistol",
"burr",
"bus, autobus, coach, charabanc, double-decker, jitney, motorbus, motorcoach, omnibus, passenger_vehicle",
"bushel_basket",
"bushing, cylindrical_lining",
"bush_jacket",
"business_suit",
"buskin, combat_boot, desert_boot, half_boot, top_boot",
"bustier",
"bustle",
"butcher_knife",
"butcher_shop, meat_market",
"butter_dish",
"butterfly_valve",
"butter_knife",
"butt_hinge",
"butt_joint, butt",
"button",
"buttonhook",
"buttress, buttressing",
"butt_shaft",
"butt_weld, butt-weld",
"buzz_bomb, robot_bomb, flying_bomb, doodlebug, v-1",
"buzzer",
"bvd, bvd's",
"bypass_condenser, bypass_capacitor",
"byway, bypath, byroad",
"cab, hack, taxi, taxicab",
"cab, cabriolet",
"cab",
"cabana",
"cabaret, nightclub, night_club, club, nightspot",
"caber",
"cabin",
"cabin",
"cabin_car, caboose",
"cabin_class, second_class, economy_class",
"cabin_cruiser, cruiser, pleasure_boat, pleasure_craft",
"cabinet",
"cabinet, console",
"cabinet, locker, storage_locker",
"cabinetwork",
"cabin_liner",
"cable, cable_television, cable_system, cable_television_service",
"cable, line, transmission_line",
"cable_car, car",
"cache, memory_cache",
"caddy, tea_caddy",
"caesium_clock",
"cafe, coffeehouse, coffee_shop, coffee_bar",
"cafeteria",
"cafeteria_tray",
"caff",
"caftan, kaftan",
"caftan, kaftan",
"cage, coop",
"cage",
"cagoule",
"caisson",
"calash, caleche, calash_top",
"calceus",
"calcimine",
"calculator, calculating_machine",
"caldron, cauldron",
"calico",
"caliper, calliper",
"call-board",
"call_center, call_centre",
"caller_id",
"calliope, steam_organ",
"calorimeter",
"calpac, calpack, kalpac",
"camail, aventail, ventail",
"camber_arch",
"cambric",
"camcorder",
"camel's_hair, camelhair",
"camera, photographic_camera",
"camera_lens, optical_lens",
"camera_lucida",
"camera_obscura",
"camera_tripod",
"camise",
"camisole",
"camisole, underbodice",
"camlet",
"camouflage",
"camouflage, camo",
"camp, encampment, cantonment, bivouac",
"camp",
"camp, refugee_camp",
"campaign_hat",
"campanile, belfry",
"camp_chair",
"camper, camping_bus, motor_home",
"camper_trailer",
"campstool",
"camshaft",
"can, tin, tin_can",
"canal",
"canal_boat, narrow_boat, narrowboat",
"candelabrum, candelabra",
"candid_camera",
"candle, taper, wax_light",
"candlepin",
"candlesnuffer",
"candlestick, candle_holder",
"candlewick",
"candy_thermometer",
"cane",
"cane",
"cangue",
"canister, cannister, tin",
"cannery",
"cannikin",
"cannikin",
"cannon",
"cannon",
"cannon",
"cannon",
"cannonball, cannon_ball, round_shot",
"canoe",
"can_opener, tin_opener",
"canopic_jar, canopic_vase",
"canopy",
"canopy",
"canopy",
"canteen",
"canteen",
"canteen",
"canteen, mobile_canteen",
"canteen",
"cant_hook",
"cantilever",
"cantilever_bridge",
"cantle",
"canton_crepe",
"canvas, canvass",
"canvas, canvass",
"canvas_tent, canvas, canvass",
"cap",
"cap",
"cap",
"capacitor, capacitance, condenser, electrical_condenser",
"caparison, trapping, housing",
"cape, mantle",
"capital_ship",
"capitol",
"cap_opener",
"capote, hooded_cloak",
"capote, hooded_coat",
"cap_screw",
"capstan",
"capstone, copestone, coping_stone, stretcher",
"capsule",
"captain's_chair",
"car, auto, automobile, machine, motorcar",
"car, railcar, railway_car, railroad_car",
"car, elevator_car",
"carabiner, karabiner, snap_ring",
"carafe, decanter",
"caravansary, caravanserai, khan, caravan_inn",
"car_battery, automobile_battery",
"carbine",
"car_bomb",
"carbon_arc_lamp, carbon_arc",
"carboy",
"carburetor, carburettor",
"car_carrier",
"cardcase",
"cardiac_monitor, heart_monitor",
"cardigan",
"card_index, card_catalog, card_catalogue",
"cardiograph, electrocardiograph",
"cardioid_microphone",
"car_door",
"cardroom",
"card_table",
"card_table",
"car-ferry",
"cargo_area, cargo_deck, cargo_hold, hold, storage_area",
"cargo_container",
"cargo_door",
"cargo_hatch",
"cargo_helicopter",
"cargo_liner",
"cargo_ship, cargo_vessel",
"carillon",
"car_mirror",
"caroche",
"carousel, carrousel, merry-go-round, roundabout, whirligig",
"carpenter's_hammer, claw_hammer, clawhammer",
"carpenter's_kit, tool_kit",
"carpenter's_level",
"carpenter's_mallet",
"carpenter's_rule",
"carpenter's_square",
"carpetbag",
"carpet_beater, rug_beater",
"carpet_loom",
"carpet_pad, rug_pad, underlay, underlayment",
"carpet_sweeper, sweeper",
"carpet_tack",
"carport, car_port",
"carrack, carack",
"carrel, carrell, cubicle, stall",
"carriage, equipage, rig",
"carriage",
"carriage_bolt",
"carriageway",
"carriage_wrench",
"carrick_bend",
"carrier",
"carryall, holdall, tote, tote_bag",
"carrycot",
"car_seat",
"cart",
"car_tire, automobile_tire, auto_tire, rubber_tire",
"carton",
"cartouche, cartouch",
"car_train",
"cartridge",
"cartridge, pickup",
"cartridge_belt",
"cartridge_extractor, cartridge_remover, extractor",
"cartridge_fuse",
"cartridge_holder, cartridge_clip, clip, magazine",
"cartwheel",
"carving_fork",
"carving_knife",
"car_wheel",
"caryatid",
"cascade_liquefier",
"cascade_transformer",
"case",
"case, display_case, showcase, vitrine",
"case, compositor's_case, typesetter's_case",
"casein_paint, casein",
"case_knife, sheath_knife",
"case_knife",
"casement",
"casement_window",
"casern",
"case_shot, canister, canister_shot",
"cash_bar",
"cashbox, money_box, till",
"cash_machine, cash_dispenser, automated_teller_machine, automatic_teller_machine, automated_teller, automatic_teller, atm",
"cashmere",
"cash_register, register",
"casing, case",
"casino, gambling_casino",
"casket, jewel_casket",
"casque",
"casquet, casquetel",
"cassegrainian_telescope, gregorian_telescope",
"casserole",
"cassette",
"cassette_deck",
"cassette_player",
"cassette_recorder",
"cassette_tape",
"cassock",
"cast, plaster_cast, plaster_bandage",
"caster, castor",
"caster, castor",
"castle",
"castle, rook",
"catacomb",
"catafalque",
"catalytic_converter",
"catalytic_cracker, cat_cracker",
"catamaran",
"catapult, arbalest, arbalist, ballista, bricole, mangonel, onager, trebuchet, trebucket",
"catapult, launcher",
"catboat",
"cat_box",
"catch",
"catchall",
"catcher's_mask",
"catchment",
"caterpillar, cat",
"cathedra, bishop's_throne",
"cathedral",
"cathedral, duomo",
"catheter",
"cathode",
"cathode-ray_tube, crt",
"cat-o'-nine-tails, cat",
"cat's-paw",
"catsup_bottle, ketchup_bottle",
"cattle_car",
"cattle_guard, cattle_grid",
"cattleship, cattle_boat",
"cautery, cauterant",
"cavalier_hat, slouch_hat",
"cavalry_sword, saber, sabre",
"cavetto",
"cavity_wall",
"c_battery",
"c-clamp",
"cd_drive",
"cd_player",
"cd-r, compact_disc_recordable, cd-wo, compact_disc_write-once",
"cd-rom, compact_disc_read-only_memory",
"cd-rom_drive",
"cedar_chest",
"ceiling",
"celesta",
"cell, electric_cell",
"cell, jail_cell, prison_cell",
"cellar, wine_cellar",
"cellblock, ward",
"cello, violoncello",
"cellophane",
"cellular_telephone, cellular_phone, cellphone, cell, mobile_phone",
"cellulose_tape, scotch_tape, sellotape",
"cenotaph, empty_tomb",
"censer, thurible",
"center, centre",
"center_punch",
"centigrade_thermometer",
"central_processing_unit, cpu, c.p.u., central_processor, processor, mainframe",
"centrifugal_pump",
"centrifuge, extractor, separator",
"ceramic",
"ceramic_ware",
"cereal_bowl",
"cereal_box",
"cerecloth",
"cesspool, cesspit, sink, sump",
"chachka, tsatske, tshatshke, tchotchke",
"chador, chadar, chaddar, chuddar",
"chafing_dish",
"chain",
"chain",
"chainlink_fence",
"chain_mail, ring_mail, mail, chain_armor, chain_armour, ring_armor, ring_armour",
"chain_printer",
"chain_saw, chainsaw",
"chain_store",
"chain_tongs",
"chain_wrench",
"chair",
"chair",
"chair_of_state",
"chairlift, chair_lift",
"chaise, shay",
"chaise_longue, chaise, daybed",
"chalet",
"chalice, goblet",
"chalk",
"challis",
"chamberpot, potty, thunder_mug",
"chambray",
"chamfer_bit",
"chamfer_plane",
"chamois_cloth",
"chancel, sanctuary, bema",
"chancellery",
"chancery",
"chandelier, pendant, pendent",
"chandlery",
"chanfron, chamfron, testiere, frontstall, front-stall",
"chanter, melody_pipe",
"chantry",
"chap",
"chapel",
"chapterhouse, fraternity_house, frat_house",
"chapterhouse",
"character_printer, character-at-a-time_printer, serial_printer",
"charcuterie",
"charge-exchange_accelerator",
"charger, battery_charger",
"chariot",
"chariot",
"charnel_house, charnel",
"chassis",
"chassis",
"chasuble",
"chateau",
"chatelaine",
"checker, chequer",
"checkout, checkout_counter",
"cheekpiece",
"cheeseboard, cheese_tray",
"cheesecloth",
"cheese_cutter",
"cheese_press",
"chemical_bomb, gas_bomb",
"chemical_plant",
"chemical_reactor",
"chemise, sack, shift",
"chemise, shimmy, shift, slip, teddy",
"chenille",
"chessman, chess_piece",
"chest",
"chesterfield",
"chest_of_drawers, chest, bureau, dresser",
"chest_protector",
"cheval-de-frise, chevaux-de-frise",
"cheval_glass",
"chicane",
"chicken_coop, coop, hencoop, henhouse",
"chicken_wire",
"chicken_yard, hen_yard, chicken_run, fowl_run",
"chiffon",
"chiffonier, commode",
"child's_room",
"chime, bell, gong",
"chimney_breast",
"chimney_corner, inglenook",
"china",
"china_cabinet, china_closet",
"chinchilla",
"chinese_lantern",
"chinese_puzzle",
"chinning_bar",
"chino",
"chino",
"chin_rest",
"chin_strap",
"chintz",
"chip, microchip, micro_chip, silicon_chip, microprocessor_chip",
"chip, poker_chip",
"chisel",
"chlamys",
"choir",
"choir_loft",
"choke",
"choke, choke_coil, choking_coil",
"chokey, choky",
"choo-choo",
"chopine, platform",
"chordophone",
"christmas_stocking",
"chronograph",
"chronometer",
"chronoscope",
"chuck",
"chuck_wagon",
"chukka, chukka_boot",
"church, church_building",
"church_bell",
"church_hat",
"church_key",
"church_tower",
"churidars",
"churn, butter_churn",
"ciderpress",
"cigar_band",
"cigar_box",
"cigar_cutter",
"cigarette_butt",
"cigarette_case",
"cigarette_holder",
"cigar_lighter, cigarette_lighter, pocket_lighter",
"cinch, girth",
"cinema, movie_theater, movie_theatre, movie_house, picture_palace",
"cinquefoil",
"circle, round",
"circlet",
"circuit, electrical_circuit, electric_circuit",
"circuit_board, circuit_card, board, card, plug-in, add-in",
"circuit_breaker, breaker",
"circuitry",
"circular_plane, compass_plane",
"circular_saw, buzz_saw",
"circus_tent, big_top, round_top, top",
"cistern",
"cistern, water_tank",
"cittern, cithern, cither, citole, gittern",
"city_hall",
"cityscape",
"city_university",
"civies, civvies",
"civilian_clothing, civilian_dress, civilian_garb, plain_clothes",
"clack_valve, clack, clapper_valve",
"clamp, clinch",
"clamshell, grapple",
"clapper, tongue",
"clapperboard",
"clarence",
"clarinet",
"clark_cell, clark_standard_cell",
"clasp",
"clasp_knife, jackknife",
"classroom, schoolroom",
"clavichord",
"clavier, klavier",
"clay_pigeon",
"claymore_mine, claymore",
"claymore",
"cleaners, dry_cleaners",
"cleaning_implement, cleaning_device, cleaning_equipment",
"cleaning_pad",
"clean_room, white_room",
"clearway",
"cleat",
"cleat",
"cleats",
"cleaver, meat_cleaver, chopper",
"clerestory, clearstory",
"clevis",
"clews",
"cliff_dwelling",
"climbing_frame",
"clinch",
"clinch, clench",
"clincher",
"clinic",
"clinical_thermometer, mercury-in-glass_clinical_thermometer",
"clinker, clinker_brick",
"clinometer, inclinometer",
"clip",
"clip_lead",
"clip-on",
"clipper",
"clipper",
"clipper, clipper_ship",
"cloak",
"cloak",
"cloakroom, coatroom",
"cloche",
"cloche",
"clock",
"clock_pendulum",
"clock_radio",
"clock_tower",
"clockwork",
"clog, geta, patten, sabot",
"cloisonne",
"cloister",
"closed_circuit, loop",
"closed-circuit_television",
"closed_loop, closed-loop_system",
"closet",
"closeup_lens",
"cloth_cap, flat_cap",
"cloth_covering",
"clothesbrush",
"clothes_closet, clothespress",
"clothes_dryer, clothes_drier",
"clothes_hamper, laundry_basket, clothes_basket, voider",
"clotheshorse",
"clothespin, clothes_pin, clothes_peg",
"clothes_tree, coat_tree, coat_stand",
"clothing, article_of_clothing, vesture, wear, wearable, habiliment",
"clothing_store, haberdashery, haberdashery_store, mens_store",
"clout_nail, clout",
"clove_hitch",
"club_car, lounge_car",
"clubroom",
"cluster_bomb",
"clutch",
"clutch, clutch_pedal",
"clutch_bag, clutch",
"coach, four-in-hand, coach-and-four",
"coach_house, carriage_house, remise",
"coal_car",
"coal_chute",
"coal_house",
"coal_shovel",
"coaming",
"coaster_brake",
"coat",
"coat_button",
"coat_closet",
"coatdress",
"coatee",
"coat_hanger, clothes_hanger, dress_hanger",
"coating, coat",
"coating",
"coat_of_paint",
"coatrack, coat_rack, hatrack",
"coattail",
"coaxial_cable, coax, coax_cable",
"cobweb",
"cobweb",
"cockcroft_and_walton_accelerator, cockcroft-walton_accelerator, cockcroft_and_walton_voltage_multiplier, cockcroft-walton_voltage_multiplier",
"cocked_hat",
"cockhorse",
"cockleshell",
"cockpit",
"cockpit",
"cockpit",
"cockscomb, coxcomb",
"cocktail_dress, sheath",
"cocktail_lounge",
"cocktail_shaker",
"cocotte",
"codpiece",
"coelostat",
"coffee_can",
"coffee_cup",
"coffee_filter",
"coffee_maker",
"coffee_mill, coffee_grinder",
"coffee_mug",
"coffeepot",
"coffee_stall",
"coffee_table, cocktail_table",
"coffee_urn",
"coffer",
"coffey_still",
"coffin, casket",
"cog, sprocket",
"coif",
"coil, spiral, volute, whorl, helix",
"coil",
"coil",
"coil_spring, volute_spring",
"coin_box",
"colander, cullender",
"cold_cathode",
"cold_chisel, set_chisel",
"cold_cream, coldcream, face_cream, vanishing_cream",
"cold_frame",
"collar, neckband",
"collar",
"college",
"collet, collet_chuck",
"collider",
"colliery, pit",
"collimator",
"collimator",
"cologne, cologne_water, eau_de_cologne",
"colonnade",
"colonoscope",
"colorimeter, tintometer",
"colors, colours",
"color_television, colour_television, color_television_system, colour_television_system, color_tv, colour_tv",
"color_tube, colour_tube, color_television_tube, colour_television_tube, color_tv_tube, colour_tv_tube",
"color_wash, colour_wash",
"colt",
"colter, coulter",
"columbarium",
"columbarium, cinerarium",
"column, pillar",
"column, pillar",
"comb",
"comb",
"comber",
"combination_lock",
"combination_plane",
"combine",
"comforter, pacifier, baby's_dummy, teething_ring",
"command_module",
"commissary",
"commissary",
"commodity, trade_good, good",
"common_ax, common_axe, dayton_ax, dayton_axe",
"common_room",
"communications_satellite",
"communication_system",
"community_center, civic_center",
"commutator",
"commuter, commuter_train",
"compact, powder_compact",
"compact, compact_car",
"compact_disk, compact_disc, cd",
"compact-disk_burner, cd_burner",
"companionway",
"compartment",
"compartment",
"compass",
"compass",
"compass_card, mariner's_compass",
"compass_saw",
"compound",
"compound_lens",
"compound_lever",
"compound_microscope",
"compress",
"compression_bandage, tourniquet",
"compressor",
"computer, computing_machine, computing_device, data_processor, electronic_computer, information_processing_system",
"computer_circuit",
"computerized_axial_tomography_scanner, cat_scanner",
"computer_keyboard, keypad",
"computer_monitor",
"computer_network",
"computer_screen, computer_display",
"computer_store",
"computer_system, computing_system, automatic_data_processing_system, adp_system, adps",
"concentration_camp, stockade",
"concert_grand, concert_piano",
"concert_hall",
"concertina",
"concertina",
"concrete_mixer, cement_mixer",
"condensation_pump, diffusion_pump",
"condenser, optical_condenser",
"condenser",
"condenser",
"condenser_microphone, capacitor_microphone",
"condominium",
"condominium, condo",
"conductor",
"cone_clutch, cone_friction_clutch",
"confectionery, confectionary, candy_store",
"conference_center, conference_house",
"conference_room",
"conference_table, council_table, council_board",
"confessional",
"conformal_projection, orthomorphic_projection",
"congress_boot, congress_shoe, congress_gaiter",
"conic_projection, conical_projection",
"connecting_rod",
"connecting_room",
"connection, connexion, connector, connecter, connective",
"conning_tower",
"conning_tower",
"conservatory, hothouse, indoor_garden",
"conservatory, conservatoire",
"console",
"console",
"console_table, console",
"consulate",
"contact, tangency",
"contact, contact_lens",
"container",
"container_ship, containership, container_vessel",
"containment",
"contrabassoon, contrafagotto, double_bassoon",
"control, controller",
"control_center",
"control_circuit, negative_feedback_circuit",
"control_key, command_key",
"control_panel, instrument_panel, control_board, board, panel",
"control_rod",
"control_room",
"control_system",
"control_tower",
"convector",
"convenience_store",
"convent",
"conventicle, meetinghouse",
"converging_lens, convex_lens",
"converter, convertor",
"convertible",
"convertible, sofa_bed",
"conveyance, transport",
"conveyer_belt, conveyor_belt, conveyer, conveyor, transporter",
"cooker",
"cookfire",
"cookhouse",
"cookie_cutter",
"cookie_jar, cooky_jar",
"cookie_sheet, baking_tray",
"cooking_utensil, cookware",
"cookstove",
"coolant_system",
"cooler, ice_chest",
"cooling_system, cooling",
"cooling_system, engine_cooling_system",
"cooling_tower",
"coonskin_cap, coonskin",
"cope",
"coping_saw",
"copperware",
"copyholder",
"coquille",
"coracle",
"corbel, truss",
"corbel_arch",
"corbel_step, corbie-step, corbiestep, crow_step",
"corbie_gable",
"cord, corduroy",
"cord, electric_cord",
"cordage",
"cords, corduroys",
"core",
"core_bit",
"core_drill",
"corer",
"cork, bottle_cork",
"corker",
"corkscrew, bottle_screw",
"corncrib",
"corner, quoin",
"corner, nook",
"corner_post",
"cornet, horn, trumpet, trump",
"cornice",
"cornice",
"cornice, valance, valance_board, pelmet",
"correctional_institution",
"corrugated_fastener, wiggle_nail",
"corselet, corslet",
"corset, girdle, stays",
"cosmetic",
"cosmotron",
"costume",
"costume",
"costume",
"costume",
"cosy, tea_cosy, cozy, tea_cozy",
"cot, camp_bed",
"cottage_tent",
"cotter, cottar",
"cotter_pin",
"cotton",
"cotton_flannel, canton_flannel",
"cotton_mill",
"couch",
"couch",
"couchette",
"coude_telescope, coude_system",
"counter",
"counter, tabulator",
"counter",
"counterbore, countersink, countersink_bit",
"counter_tube",
"country_house",
"country_store, general_store, trading_post",
"coupe",
"coupling, coupler",
"court, courtyard",
"court",
"court, courtroom",
"court",
"courtelle",
"courthouse",
"courthouse",
"coverall",
"covered_bridge",
"covered_couch",
"covered_wagon, conestoga_wagon, conestoga, prairie_wagon, prairie_schooner",
"covering",
"coverlet",
"cover_plate",
"cowbarn, cowshed, cow_barn, cowhouse, byre",
"cowbell",
"cowboy_boot",
"cowboy_hat, ten-gallon_hat",
"cowhide",
"cowl",
"cow_pen, cattle_pen, corral",
"cpu_board, mother_board",
"crackle, crackleware, crackle_china",
"cradle",
"craft",
"cramp, cramp_iron",
"crampon, crampoon, climbing_iron, climber",
"crampon, crampoon",
"crane",
"craniometer",
"crank, starter",
"crankcase",
"crankshaft",
"crash_barrier",
"crash_helmet",
"crate",
"cravat",
"crayon, wax_crayon",
"crazy_quilt",
"cream, ointment, emollient",
"cream_pitcher, creamer",
"creche, foundling_hospital",
"creche",
"credenza, credence",
"creel",
"crematory, crematorium, cremation_chamber",
"crematory, crematorium",
"crepe, crape",
"crepe_de_chine",
"crescent_wrench",
"cretonne",
"crib, cot",
"crib",
"cricket_ball",
"cricket_bat, bat",
"cricket_equipment",
"cringle, eyelet, loop, grommet, grummet",
"crinoline",
"crinoline",
"crochet_needle, crochet_hook",
"crock, earthenware_jar",
"crock_pot",
"crook, shepherd's_crook",
"crookes_radiometer",
"crookes_tube",
"croquet_ball",
"croquet_equipment",
"croquet_mallet",
"cross",
"crossbar",
"crossbar",
"crossbar",
"crossbench",
"cross_bit",
"crossbow",
"crosscut_saw, crosscut_handsaw, cutoff_saw",
"crossjack, mizzen_course",
"crosspiece",
"crotchet",
"croupier's_rake",
"crowbar, wrecking_bar, pry, pry_bar",
"crown, diadem",
"crown, crownwork, jacket, jacket_crown, cap",
"crown_jewels",
"crown_lens",
"crow's_nest",
"crucible, melting_pot",
"crucifix, rood, rood-tree",
"cruet, crewet",
"cruet-stand",
"cruise_control",
"cruise_missile",
"cruiser",
"cruiser, police_cruiser, patrol_car, police_car, prowl_car, squad_car",
"cruise_ship, cruise_liner",
"crupper",
"cruse",
"crusher",
"crutch",
"cryometer",
"cryoscope",
"cryostat",
"crypt",
"crystal, watch_crystal, watch_glass",
"crystal_detector",
"crystal_microphone",
"crystal_oscillator, quartz_oscillator",
"crystal_set",
"cubitiere",
"cucking_stool, ducking_stool",
"cuckoo_clock",
"cuddy",
"cudgel",
"cue, cue_stick, pool_cue, pool_stick",
"cue_ball",
"cuff, turnup",
"cuirass",
"cuisse",
"cul, cul_de_sac, dead_end",
"culdoscope",
"cullis",
"culotte",
"cultivator, tiller",
"culverin",
"culverin",
"culvert",
"cup",
"cupboard, closet",
"cup_hook",
"cupola",
"cupola",
"curb, curb_bit",
"curb_roof",
"curbstone, kerbstone",
"curette, curet",
"curler, hair_curler, roller, crimper",
"curling_iron",
"currycomb",
"cursor, pointer",
"curtain, drape, drapery, mantle, pall",
"customhouse, customshouse",
"cutaway, cutaway_drawing, cutaway_model",
"cutlas, cutlass",
"cutoff",
"cutout",
"cutter, cutlery, cutting_tool",
"cutter",
"cutting_implement",
"cutting_room",
"cutty_stool",
"cutwork",
"cybercafe",
"cyclopean_masonry",
"cyclostyle",
"cyclotron",
"cylinder",
"cylinder, piston_chamber",
"cylinder_lock",
"cymbal",
"dacha",
"dacron, terylene",
"dado",
"dado_plane",
"dagger, sticker",
"dairy, dairy_farm",
"dais, podium, pulpit, rostrum, ambo, stump, soapbox",
"daisy_print_wheel, daisy_wheel",
"daisywheel_printer",
"dam, dike, dyke",
"damask",
"dampener, moistener",
"damper, muffler",
"damper_block, piano_damper",
"dark_lantern, bull's-eye",
"darkroom",
"darning_needle, embroidery_needle",
"dart",
"dart",
"dashboard, fascia",
"dashiki, daishiki",
"dash-pot",
"data_converter",
"data_input_device, input_device",
"data_multiplexer",
"data_system, information_system",
"davenport",
"davenport",
"davit",
"daybed, divan_bed",
"daybook, ledger",
"day_nursery, day_care_center",
"day_school",
"dead_axle",
"deadeye",
"deadhead",
"deanery",
"deathbed",
"death_camp",
"death_house, death_row",
"death_knell, death_bell",
"death_seat",
"deck",
"deck",
"deck_chair, beach_chair",
"deck-house",
"deckle",
"deckle_edge, deckle",
"declinometer, transit_declinometer",
"decoder",
"decolletage",
"decoupage",
"dedicated_file_server",
"deep-freeze, deepfreeze, deep_freezer, freezer",
"deerstalker",
"defense_system, defence_system",
"defensive_structure, defense, defence",
"defibrillator",
"defilade",
"deflector",
"delayed_action",
"delay_line",
"delft",
"delicatessen, deli, food_shop",
"delivery_truck, delivery_van, panel_truck",
"delta_wing",
"demijohn",
"demitasse",
"den",
"denim, dungaree, jean",
"densimeter, densitometer",
"densitometer",
"dental_appliance",
"dental_floss, floss",
"dental_implant",
"dentist's_drill, burr_drill",
"denture, dental_plate, plate",
"deodorant, deodourant",
"department_store, emporium",
"departure_lounge",
"depilatory, depilator, epilator",
"depressor",
"depth_finder",
"depth_gauge, depth_gage",
"derrick",
"derrick",
"derringer",
"desk",
"desk_phone",
"desktop_computer",
"dessert_spoon",
"destroyer, guided_missile_destroyer",
"destroyer_escort",
"detached_house, single_dwelling",
"detector, sensor, sensing_element",
"detector",
"detention_home, detention_house, house_of_detention, detention_camp",
"detonating_fuse",
"detonator, detonating_device, cap",
"developer",
"device",
"dewar_flask, dewar",
"dhoti",
"dhow",
"dial, telephone_dial",
"dial",
"dial",
"dialog_box, panel",
"dial_telephone, dial_phone",
"dialyzer, dialysis_machine",
"diamante",
"diaper, nappy, napkin",
"diaper",
"diaphone",
"diaphragm, stop",
"diaphragm",
"diathermy_machine",
"dibble, dibber",
"dice_cup, dice_box",
"dicer",
"dickey, dickie, dicky, shirtfront",
"dickey, dickie, dicky, dickey-seat, dickie-seat, dicky-seat",
"dictaphone",
"die",
"diesel, diesel_engine, diesel_motor",
"diesel-electric_locomotive, diesel-electric",
"diesel-hydraulic_locomotive, diesel-hydraulic",
"diesel_locomotive",
"diestock",
"differential_analyzer",
"differential_gear, differential",
"diffuser, diffusor",
"diffuser, diffusor",
"digester",
"diggings, digs, domiciliation, lodgings, pad",
"digital-analog_converter, digital-to-analog_converter",
"digital_audiotape, dat",
"digital_camera",
"digital_clock",
"digital_computer",
"digital_display, alphanumeric_display",
"digital_subscriber_line, dsl",
"digital_voltmeter",
"digital_watch",
"digitizer, digitiser, analog-digital_converter, analog-to-digital_converter",
"dilator, dilater",
"dildo",
"dimity",
"dimmer",
"diner",
"dinette",
"dinghy, dory, rowboat",
"dining_area",
"dining_car, diner, dining_compartment, buffet_car",
"dining-hall",
"dining_room, dining-room",
"dining-room_furniture",
"dining-room_table",
"dining_table, board",
"dinner_bell",
"dinner_dress, dinner_gown, formal, evening_gown",
"dinner_jacket, tux, tuxedo, black_tie",
"dinner_napkin",
"dinner_pail, dinner_bucket",
"dinner_table",
"dinner_theater, dinner_theatre",
"diode, semiconductor_diode, junction_rectifier, crystal_rectifier",
"diode, rectifying_tube, rectifying_valve",
"dip",
"diplomatic_building",
"dipole, dipole_antenna",
"dipper",
"dipstick",
"dip_switch, dual_inline_package_switch",
"directional_antenna",
"directional_microphone",
"direction_finder",
"dirk",
"dirndl",
"dirndl",
"dirty_bomb",
"discharge_lamp",
"discharge_pipe",
"disco, discotheque",
"discount_house, discount_store, discounter, wholesale_house",
"discus, saucer",
"disguise",
"dish",
"dish, dish_aerial, dish_antenna, saucer",
"dishpan",
"dish_rack",
"dishrag, dishcloth",
"dishtowel, dish_towel, tea_towel",
"dishwasher, dish_washer, dishwashing_machine",
"disk, disc",
"disk_brake, disc_brake",
"disk_clutch",
"disk_controller",
"disk_drive, disc_drive, hard_drive, winchester_drive",
"diskette, floppy, floppy_disk",
"disk_harrow, disc_harrow",
"dispatch_case, dispatch_box",
"dispensary",
"dispenser",
"display, video_display",
"display_adapter, display_adaptor",
"display_panel, display_board, board",
"display_window, shop_window, shopwindow, show_window",
"disposal, electric_pig, garbage_disposal",
"disrupting_explosive, bursting_explosive",
"distaff",
"distillery, still",
"distributor, distributer, electrical_distributor",
"distributor_cam",
"distributor_cap",
"distributor_housing",
"distributor_point, breaker_point, point",
"ditch",
"ditch_spade, long-handled_spade",
"ditty_bag",
"divan",
"divan, diwan",
"dive_bomber",
"diverging_lens, concave_lens",
"divided_highway, dual_carriageway",
"divider",
"diving_bell",
"divining_rod, dowser, dowsing_rod, waterfinder, water_finder",
"diving_suit, diving_dress",
"dixie",
"dixie_cup, paper_cup",
"dock, dockage, docking_facility",
"doeskin",
"dogcart",
"doggie_bag, doggy_bag",
"dogsled, dog_sled, dog_sleigh",
"dog_wrench",
"doily, doyley, doyly",
"doll, dolly",
"dollhouse, doll's_house",
"dolly",
"dolman",
"dolman, dolman_jacket",
"dolman_sleeve",
"dolmen, cromlech, portal_tomb",
"dome",
"dome, domed_stadium, covered_stadium",
"domino, half_mask, eye_mask",
"dongle",
"donkey_jacket",
"door",
"door",
"door",
"doorbell, bell, buzzer",
"doorframe, doorcase",
"doorjamb, doorpost",
"doorlock",
"doormat, welcome_mat",
"doornail",
"doorplate",
"doorsill, doorstep, threshold",
"doorstop, doorstopper",
"doppler_radar",
"dormer, dormer_window",
"dormer_window",
"dormitory, dorm, residence_hall, hall, student_residence",
"dormitory, dormitory_room, dorm_room",
"dosemeter, dosimeter",
"dossal, dossel",
"dot_matrix_printer, matrix_printer, dot_printer",
"double_bed",
"double-bitted_ax, double-bitted_axe, western_ax, western_axe",
"double_boiler, double_saucepan",
"double-breasted_jacket",
"double-breasted_suit",
"double_door",
"double_glazing",
"double-hung_window",
"double_knit",
"doubler",
"double_reed",
"double-reed_instrument, double_reed",
"doublet",
"doubletree",
"douche, douche_bag",
"dovecote, columbarium, columbary",
"dover's_powder",
"dovetail, dovetail_joint",
"dovetail_plane",
"dowel, dowel_pin, joggle",
"downstage",
"drafting_instrument",
"drafting_table, drawing_table",
"dragunov",
"drainage_ditch",
"drainage_system",
"drain_basket",
"drainplug",
"drape",
"drapery",
"drawbar",
"drawbridge, lift_bridge",
"drawer",
"drawers, underdrawers, shorts, boxers, boxershorts",
"drawing_chalk",
"drawing_room, withdrawing_room",
"drawing_room",
"drawknife, drawshave",
"drawstring_bag",
"dray, camion",
"dreadnought, dreadnaught",
"dredge",
"dredger",
"dredging_bucket",
"dress, frock",
"dress_blues, dress_whites",
"dresser",
"dress_hat, high_hat, opera_hat, silk_hat, stovepipe, top_hat, topper, beaver",
"dressing, medical_dressing",
"dressing_case",
"dressing_gown, robe-de-chambre, lounging_robe",
"dressing_room",
"dressing_sack, dressing_sacque",
"dressing_table, dresser, vanity, toilet_table",
"dress_rack",
"dress_shirt, evening_shirt",
"dress_suit, full_dress, tailcoat, tail_coat, tails, white_tie, white_tie_and_tails",
"dress_uniform",
"drift_net",
"drill",
"electric_drill",
"drilling_platform, offshore_rig",
"drill_press",
"drill_rig, drilling_rig, oilrig, oil_rig",
"drinking_fountain, water_fountain, bubbler",
"drinking_vessel",
"drip_loop",
"drip_mat",
"drip_pan",
"dripping_pan, drip_pan",
"drip_pot",
"drive",
"drive",
"drive_line, drive_line_system",
"driver, number_one_wood",
"driveshaft",
"driveway, drive, private_road",
"driving_iron, one_iron",
"driving_wheel",
"drogue, drogue_chute, drogue_parachute",
"drogue_parachute",
"drone, drone_pipe, bourdon",
"drone, pilotless_aircraft, radio-controlled_aircraft",
"drop_arch",
"drop_cloth",
"drop_curtain, drop_cloth, drop",
"drop_forge, drop_hammer, drop_press",
"drop-leaf_table",
"dropper, eye_dropper",
"droshky, drosky",
"drove, drove_chisel",
"drugget",
"drugstore, apothecary's_shop, chemist's, chemist's_shop, pharmacy",
"drum, membranophone, tympan",
"drum, metal_drum",
"drum_brake",
"drumhead, head",
"drum_printer",
"drum_sander, electric_sander, sander, smoother",
"drumstick",
"dry_battery",
"dry-bulb_thermometer",
"dry_cell",
"dry_dock, drydock, graving_dock",
"dryer, drier",
"dry_fly",
"dry_kiln",
"dry_masonry",
"dry_point",
"dry_wall, dry-stone_wall",
"dual_scan_display",
"duck",
"duckboard",
"duckpin",
"dudeen",
"duffel, duffle",
"duffel_bag, duffle_bag, duffel, duffle",
"duffel_coat, duffle_coat",
"dugout",
"dugout_canoe, dugout, pirogue",
"dulciana",
"dulcimer",
"dulcimer",
"dumbbell",
"dumb_bomb, gravity_bomb",
"dumbwaiter, food_elevator",
"dumdum, dumdum_bullet",
"dumpcart",
"dumpster",
"dump_truck, dumper, tipper_truck, tipper_lorry, tip_truck, tipper",
"dumpy_level",
"dunce_cap, dunce's_cap, fool's_cap",
"dune_buggy, beach_buggy",
"dungeon",
"duplex_apartment, duplex",
"duplex_house, duplex, semidetached_house",
"duplicator, copier",
"dust_bag, vacuum_bag",
"dustcloth, dustrag, duster",
"dust_cover",
"dust_cover, dust_sheet",
"dustmop, dust_mop, dry_mop",
"dustpan",
"dutch_oven",
"dutch_oven",
"dwelling, home, domicile, abode, habitation, dwelling_house",
"dye-works",
"dynamo",
"dynamometer, ergometer",
"eames_chair",
"earflap, earlap",
"early_warning_radar",
"early_warning_system",
"earmuff",
"earphone, earpiece, headphone, phone",
"earplug",
"earplug",
"earthenware",
"earthwork",
"easel",
"easy_chair, lounge_chair, overstuffed_chair",
"eaves",
"ecclesiastical_attire, ecclesiastical_robe",
"echinus",
"echocardiograph",
"edger",
"edge_tool",
"efficiency_apartment",
"egg-and-dart, egg-and-anchor, egg-and-tongue",
"eggbeater, eggwhisk",
"egg_timer",
"eiderdown, duvet, continental_quilt",
"eight_ball",
"ejection_seat, ejector_seat, capsule",
"elastic",
"elastic_bandage",
"elastoplast",
"elbow",
"elbow_pad",
"electric, electric_automobile, electric_car",
"electrical_cable",
"electrical_contact",
"electrical_converter",
"electrical_device",
"electrical_system",
"electric_bell",
"electric_blanket",
"electric_chair, chair, death_chair, hot_seat",
"electric_clock",
"electric-discharge_lamp, gas-discharge_lamp",
"electric_fan, blower",
"electric_frying_pan",
"electric_furnace",
"electric_guitar",
"electric_hammer",
"electric_heater, electric_fire",
"electric_lamp",
"electric_locomotive",
"electric_meter, power_meter",
"electric_mixer",
"electric_motor",
"electric_organ, electronic_organ, hammond_organ, organ",
"electric_range",
"electric_refrigerator, fridge",
"electric_toothbrush",
"electric_typewriter",
"electro-acoustic_transducer",
"electrode",
"electrodynamometer",
"electroencephalograph",
"electrograph",
"electrolytic, electrolytic_capacitor, electrolytic_condenser",
"electrolytic_cell",
"electromagnet",
"electrometer",
"electromyograph",
"electron_accelerator",
"electron_gun",
"electronic_balance",
"electronic_converter",
"electronic_device",
"electronic_equipment",
"electronic_fetal_monitor, electronic_foetal_monitor, fetal_monitor, foetal_monitor",
"electronic_instrument, electronic_musical_instrument",
"electronic_voltmeter",
"electron_microscope",
"electron_multiplier",
"electrophorus",
"electroscope",
"electrostatic_generator, electrostatic_machine, wimshurst_machine, van_de_graaff_generator",
"electrostatic_printer",
"elevator, lift",
"elevator",
"elevator_shaft",
"embankment",
"embassy",
"embellishment",
"emergency_room, er",
"emesis_basin",
"emitter",
"empty",
"emulsion, photographic_emulsion",
"enamel",
"enamel",
"enamelware",
"encaustic",
"encephalogram, pneumoencephalogram",
"enclosure",
"endoscope",
"energizer, energiser",
"engine",
"engine",
"engineering, engine_room",
"enginery",
"english_horn, cor_anglais",
"english_saddle, english_cavalry_saddle",
"enlarger",
"ensemble",
"ensign",
"entablature",
"entertainment_center",
"entrenching_tool, trenching_spade",
"entrenchment, intrenchment",
"envelope",
"envelope",
"envelope, gasbag",
"eolith",
"epauliere",
"epee",
"epergne",
"epicyclic_train, epicyclic_gear_train",
"epidiascope",
"epilating_wax",
"equalizer, equaliser",
"equatorial",
"equipment",
"erasable_programmable_read-only_memory, eprom",
"eraser",
"erecting_prism",
"erection",
"erlenmeyer_flask",
"escape_hatch",
"escapement",
"escape_wheel",
"escarpment, escarp, scarp, protective_embankment",
"escutcheon, scutcheon",
"esophagoscope, oesophagoscope",
"espadrille",
"espalier",
"espresso_maker",
"espresso_shop",
"establishment",
"estaminet",
"estradiol_patch",
"etagere",
"etamine, etamin",
"etching",
"ethernet",
"ethernet_cable",
"eton_jacket",
"etui",
"eudiometer",
"euphonium",
"evaporative_cooler",
"evening_bag",
"exercise_bike, exercycle",
"exercise_device",
"exhaust, exhaust_system",
"exhaust_fan",
"exhaust_valve",
"exhibition_hall, exhibition_area",
"exocet",
"expansion_bit, expansive_bit",
"expansion_bolt",
"explosive_detection_system, eds",
"explosive_device",
"explosive_trace_detection, etd",
"express, limited",
"extension, telephone_extension, extension_phone",
"extension_cord",
"external-combustion_engine",
"external_drive",
"extractor",
"eyebrow_pencil",
"eyecup, eyebath, eye_cup",
"eyeliner",
"eyepatch, patch",
"eyepiece, ocular",
"eyeshadow",
"fabric, cloth, material, textile",
"facade, frontage, frontal",
"face_guard",
"face_mask",
"faceplate",
"face_powder",
"face_veil",
"facing, cladding",
"facing",
"facing, veneer",
"facsimile, facsimile_machine, fax",
"factory, mill, manufacturing_plant, manufactory",
"factory_ship",
"fagot, faggot",
"fagot_stitch, faggot_stitch",
"fahrenheit_thermometer",
"faience",
"faille",
"fairlead",
"fairy_light",
"falchion",
"fallboard, fall-board",
"fallout_shelter",
"false_face",
"false_teeth",
"family_room",
"fan",
"fan_belt",
"fan_blade",
"fancy_dress, masquerade, masquerade_costume",
"fanion",
"fanlight",
"fanjet, fan-jet, fanjet_engine, turbojet, turbojet_engine, turbofan, turbofan_engine",
"fanjet, fan-jet, turbofan, turbojet",
"fanny_pack, butt_pack",
"fan_tracery",
"fan_vaulting",
"farm_building",
"farmer's_market, green_market, greenmarket",
"farmhouse",
"farm_machine",
"farmplace, farm-place, farmstead",
"farmyard",
"farthingale",
"fastener, fastening, holdfast, fixing",
"fast_reactor",
"fat_farm",
"fatigues",
"faucet, spigot",
"fauld",
"fauteuil",
"feather_boa, boa",
"featheredge",
"fedora, felt_hat, homburg, stetson, trilby",
"feedback_circuit, feedback_loop",
"feedlot",
"fell, felled_seam",
"felloe, felly",
"felt",
"felt-tip_pen, felt-tipped_pen, felt_tip, magic_marker",
"felucca",
"fence, fencing",
"fencing_mask, fencer's_mask",
"fencing_sword",
"fender, wing",
"fender, buffer, cowcatcher, pilot",
"ferris_wheel",
"ferrule, collet",
"ferry, ferryboat",
"ferule",
"festoon",
"fetoscope, foetoscope",
"fetter, hobble",
"fez, tarboosh",
"fiber, fibre, vulcanized_fiber",
"fiber_optic_cable, fibre_optic_cable",
"fiberscope",
"fichu",
"fiddlestick, violin_bow",
"field_artillery, field_gun",
"field_coil, field_winding",
"field-effect_transistor, fet",
"field-emission_microscope",
"field_glass, glass, spyglass",
"field_hockey_ball",
"field_hospital",
"field_house, sports_arena",
"field_lens",
"field_magnet",
"field-sequential_color_television, field-sequential_color_tv, field-sequential_color_television_system, field-sequential_color_tv_system",
"field_tent",
"fieldwork",
"fife",
"fifth_wheel, spare",
"fighter, fighter_aircraft, attack_aircraft",
"fighting_chair",
"fig_leaf",
"figure_eight, figure_of_eight",
"figure_loom, figured-fabric_loom",
"figure_skate",
"filament",
"filature",
"file",
"file, file_cabinet, filing_cabinet",
"file_folder",
"file_server",
"filigree, filagree, fillagree",
"filling",
"film, photographic_film",
"film, plastic_film",
"film_advance",
"filter",
"filter",
"finder, viewfinder, view_finder",
"finery",
"fine-tooth_comb, fine-toothed_comb",
"finger",
"fingerboard",
"finger_bowl",
"finger_paint, fingerpaint",
"finger-painting",
"finger_plate, escutcheon, scutcheon",
"fingerstall, cot",
"finish_coat, finishing_coat",
"finish_coat, finishing_coat",
"finisher",
"fin_keel",
"fipple",
"fipple_flute, fipple_pipe, recorder, vertical_flute",
"fire",
"fire_alarm, smoke_alarm",
"firearm, piece, small-arm",
"fire_bell",
"fireboat",
"firebox",
"firebrick",
"fire_control_radar",
"fire_control_system",
"fire_engine, fire_truck",
"fire_extinguisher, extinguisher, asphyxiator",
"fire_iron",
"fireman's_ax, fireman's_axe",
"fireplace, hearth, open_fireplace",
"fire_screen, fireguard",
"fire_tongs, coal_tongs",
"fire_tower",
"firewall",
"firing_chamber, gun_chamber",
"firing_pin",
"firkin",
"firmer_chisel",
"first-aid_kit",
"first-aid_station",
"first_base",
"first_class",
"fishbowl, fish_bowl, goldfish_bowl",
"fisherman's_bend",
"fisherman's_knot, true_lover's_knot, truelove_knot",
"fisherman's_lure, fish_lure",
"fishhook",
"fishing_boat, fishing_smack, fishing_vessel",
"fishing_gear, tackle, fishing_tackle, fishing_rig, rig",
"fishing_rod, fishing_pole",
"fish_joint",
"fish_knife",
"fishnet, fishing_net",
"fish_slice",
"fitment",
"fixative",
"fixer-upper",
"flag",
"flageolet, treble_recorder, shepherd's_pipe",
"flagon",
"flagpole, flagstaff",
"flagship",
"flail",
"flambeau",
"flamethrower",
"flange, rim",
"flannel",
"flannel, gabardine, tweed, white",
"flannelette",
"flap, flaps",
"flash, photoflash, flash_lamp, flashgun, flashbulb, flash_bulb",
"flash",
"flash_camera",
"flasher",
"flashlight, torch",
"flashlight_battery",
"flash_memory",
"flask",
"flat_arch, straight_arch",
"flatbed",
"flatbed_press, cylinder_press",
"flat_bench",
"flatcar, flatbed, flat",
"flat_file",
"flatlet",
"flat_panel_display, fpd",
"flats",
"flat_tip_screwdriver",
"fleece",
"fleet_ballistic_missile_submarine",
"fleur-de-lis, fleur-de-lys",
"flight_simulator, trainer",
"flintlock",
"flintlock, firelock",
"flip-flop, thong",
"flipper, fin",
"float, plasterer's_float",
"floating_dock, floating_dry_dock",
"floatplane, pontoon_plane",
"flood, floodlight, flood_lamp, photoflood",
"floor, flooring",
"floor, level, storey, story",
"floor",
"floorboard",
"floor_cover, floor_covering",
"floor_joist",
"floor_lamp",
"flophouse, dosshouse",
"florist, florist_shop, flower_store",
"floss",
"flotsam, jetsam",
"flour_bin",
"flour_mill",
"flowerbed, flower_bed, bed_of_flowers",
"flugelhorn, fluegelhorn",
"fluid_drive",
"fluid_flywheel",
"flume",
"fluorescent_lamp",
"fluoroscope, roentgenoscope",
"flush_toilet, lavatory",
"flute, transverse_flute",
"flute, flute_glass, champagne_flute",
"flux_applicator",
"fluxmeter",
"fly",
"flying_boat",
"flying_buttress, arc-boutant",
"flying_carpet",
"flying_jib",
"fly_rod",
"fly_tent",
"flytrap",
"flywheel",
"fob, watch_chain, watch_guard",
"foghorn",
"foglamp",
"foil",
"fold, sheepfold, sheep_pen, sheepcote",
"folder",
"folding_chair",
"folding_door, accordion_door",
"folding_saw",
"food_court",
"food_processor",
"food_hamper",
"foot",
"footage",
"football",
"football_helmet",
"football_stadium",
"footbath",
"foot_brake",
"footbridge, overcrossing, pedestrian_bridge",
"foothold, footing",
"footlocker, locker",
"foot_rule",
"footstool, footrest, ottoman, tuffet",
"footwear, footgear",
"footwear",
"forceps",
"force_pump",
"fore-and-after",
"fore-and-aft_sail",
"forecastle, fo'c'sle",
"forecourt",
"foredeck",
"fore_edge, foredge",
"foreground",
"foremast",
"fore_plane",
"foresail",
"forestay",
"foretop",
"fore-topmast",
"fore-topsail",
"forge",
"fork",
"forklift",
"formalwear, eveningwear, evening_dress, evening_clothes",
"formica",
"fortification, munition",
"fortress, fort",
"forty-five",
"foucault_pendulum",
"foulard",
"foul-weather_gear",
"foundation_garment, foundation",
"foundry, metalworks",
"fountain",
"fountain_pen",
"four-in-hand",
"four-poster",
"four-pounder",
"four-stroke_engine, four-stroke_internal-combustion_engine",
"four-wheel_drive, 4wd",
"four-wheel_drive, 4wd",
"four-wheeler",
"fowling_piece",
"foxhole, fox_hole",
"fragmentation_bomb, antipersonnel_bomb, anti-personnel_bomb, daisy_cutter",
"frail",
"fraise",
"frame, framing",
"frame",
"frame_buffer",
"framework",
"francis_turbine",
"franking_machine",
"free_house",
"free-reed",
"free-reed_instrument",
"freewheel",
"freight_car",
"freight_elevator, service_elevator",
"freight_liner, liner_train",
"freight_train, rattler",
"french_door",
"french_horn, horn",
"french_polish, french_polish_shellac",
"french_roof",
"french_window",
"fresnel_lens",
"fret",
"friary",
"friction_clutch",
"frieze",
"frieze",
"frigate",
"frigate",
"frill, flounce, ruffle, furbelow",
"frisbee",
"frock",
"frock_coat",
"frontlet, frontal",
"front_porch",
"front_projector",
"fruit_machine",
"frying_pan, frypan, skillet",
"fuel_filter",
"fuel_gauge, fuel_indicator",
"fuel_injection, fuel_injection_system",
"fuel_system",
"full-dress_uniform",
"full_metal_jacket",
"full_skirt",
"fumigator",
"funeral_home, funeral_parlor, funeral_parlour, funeral_chapel, funeral_church, funeral-residence",
"funnel",
"funny_wagon",
"fur",
"fur_coat",
"fur_hat",
"furnace",
"furnace_lining, refractory",
"furnace_room",
"furnishing",
"furnishing, trappings",
"furniture, piece_of_furniture, article_of_furniture",
"fur-piece",
"furrow",
"fuse, electrical_fuse, safety_fuse",
"fusee_drive, fusee",
"fuselage",
"fusil",
"fustian",
"futon",
"gabardine",
"gable, gable_end, gable_wall",
"gable_roof, saddle_roof, saddleback, saddleback_roof",
"gadgetry",
"gaff",
"gaff",
"gaff",
"gaffsail, gaff-headed_sail",
"gaff_topsail, fore-and-aft_topsail",
"gag, muzzle",
"gaiter",
"gaiter",
"galilean_telescope",
"galleon",
"gallery",
"gallery, art_gallery, picture_gallery",
"galley, ship's_galley, caboose, cookhouse",
"galley",
"galley",
"gallows",
"gallows_tree, gallows-tree, gibbet, gallous",
"galvanometer",
"gambling_house, gambling_den, gambling_hell, gaming_house",
"gambrel, gambrel_roof",
"game",
"gamebag",
"game_equipment",
"gaming_table",
"gamp, brolly",
"gangplank, gangboard, gangway",
"gangsaw",
"gangway",
"gantlet",
"gantry, gauntry",
"garage",
"garage, service_department",
"garand_rifle, garand, m-1, m-1_rifle",
"garbage",
"garbage_truck, dustcart",
"garboard, garboard_plank, garboard_strake",
"garden",
"garden",
"garden_rake",
"garden_spade",
"garden_tool, lawn_tool",
"garden_trowel",
"gargoyle",
"garibaldi",
"garlic_press",
"garment",
"garment_bag",
"garrison_cap, overseas_cap",
"garrote, garotte, garrotte, iron_collar",
"garter, supporter",
"garter_belt, suspender_belt",
"garter_stitch",
"gas_guzzler",
"gas_shell",
"gas_bracket",
"gas_burner, gas_jet",
"gas-cooled_reactor",
"gas-discharge_tube",
"gas_engine",
"gas_fixture",
"gas_furnace",
"gas_gun",
"gas_heater",
"gas_holder, gasometer",
"gasket",
"gas_lamp",
"gas_maser",
"gasmask, respirator, gas_helmet",
"gas_meter, gasometer",
"gasoline_engine, petrol_engine",
"gasoline_gauge, gasoline_gage, gas_gauge, gas_gage, petrol_gauge, petrol_gage",
"gas_oven",
"gas_oven",
"gas_pump, gasoline_pump, petrol_pump, island_dispenser",
"gas_range, gas_stove, gas_cooker",
"gas_ring",
"gas_tank, gasoline_tank, petrol_tank",
"gas_thermometer, air_thermometer",
"gastroscope",
"gas_turbine",
"gas-turbine_ship",
"gat, rod",
"gate",
"gatehouse",
"gateleg_table",
"gatepost",
"gathered_skirt",
"gatling_gun",
"gauge, gage",
"gauntlet, gantlet",
"gauntlet, gantlet, metal_glove",
"gauze, netting, veiling",
"gauze, gauze_bandage",
"gavel",
"gazebo, summerhouse",
"gear, gear_wheel, geared_wheel, cogwheel",
"gear, paraphernalia, appurtenance",
"gear, gear_mechanism",
"gearbox, gear_box, gear_case",
"gearing, gear, geartrain, power_train, train",
"gearset",
"gearshift, gearstick, shifter, gear_lever",
"geiger_counter, geiger-muller_counter",
"geiger_tube, geiger-muller_tube",
"gene_chip, dna_chip",
"general-purpose_bomb, gp_bomb",
"generator",
"generator",
"generator",
"geneva_gown",
"geodesic_dome",
"georgette",
"gharry",
"ghat",
"ghetto_blaster, boom_box",
"gift_shop, novelty_shop",
"gift_wrapping",
"gig",
"gig",
"gig",
"gig",
"gildhall",
"gill_net",
"gilt, gilding",
"gimbal",
"gingham",
"girandole, girandola",
"girder",
"girdle, cincture, sash, waistband, waistcloth",
"glass, drinking_glass",
"glass",
"glass_cutter",
"glasses_case",
"glebe_house",
"glengarry",
"glider, sailplane",
"global_positioning_system, gps",
"glockenspiel, orchestral_bells",
"glory_hole, lazaretto",
"glove",
"glove_compartment",
"glow_lamp",
"glow_tube",
"glyptic_art, glyptography",
"glyptics, lithoglyptics",
"gnomon",
"goal",
"goalmouth",
"goalpost",
"goblet",
"godown",
"goggles",
"go-kart",
"gold_plate",
"golf_bag",
"golf_ball",
"golfcart, golf_cart",
"golf_club, golf-club, club",
"golf-club_head, club_head, club-head, clubhead",
"golf_equipment",
"golf_glove",
"golliwog, golliwogg",
"gondola",
"gong, tam-tam",
"goniometer",
"gordian_knot",
"gorget",
"gossamer",
"gothic_arch",
"gouache",
"gouge",
"gourd, calabash",
"government_building",
"government_office",
"gown",
"gown, robe",
"gown, surgical_gown, scrubs",
"grab",
"grab_bag",
"grab_bar",
"grace_cup",
"grade_separation",
"graduated_cylinder",
"graffito, graffiti",
"gramophone, acoustic_gramophone",
"granary, garner",
"grandfather_clock, longcase_clock",
"grand_piano, grand",
"graniteware",
"granny_knot, granny",
"grape_arbor, grape_arbour",
"grapnel, grapnel_anchor",
"grapnel, grapple, grappler, grappling_hook, grappling_iron",
"grass_skirt",
"grate, grating",
"grate, grating",
"grater",
"graver, graving_tool, pointel, pointrel",
"gravestone, headstone, tombstone",
"gravimeter, gravity_meter",
"gravure, photogravure, heliogravure",
"gravy_boat, gravy_holder, sauceboat, boat",
"grey, gray",
"grease-gun, gun",
"greasepaint",
"greasy_spoon",
"greatcoat, overcoat, topcoat",
"great_hall",
"greave, jambeau",
"greengrocery",
"greenhouse, nursery, glasshouse",
"grenade",
"grid, gridiron",
"griddle",
"grill, grille, grillwork",
"grille, radiator_grille",
"grillroom, grill",
"grinder",
"grinding_wheel, emery_wheel",
"grindstone",
"gripsack",
"gristmill",
"grocery_bag",
"grocery_store, grocery, food_market, market",
"grogram",
"groined_vault",
"groover",
"grosgrain",
"gros_point",
"ground, earth",
"ground_bait",
"ground_control",
"ground_floor, first_floor, ground_level",
"groundsheet, ground_cloth",
"g-string, thong",
"guard, safety, safety_device",
"guard_boat",
"guardroom",
"guardroom",
"guard_ship",
"guard's_van",
"gueridon",
"guarnerius",
"guesthouse",
"guestroom",
"guidance_system, guidance_device",
"guided_missile",
"guided_missile_cruiser",
"guided_missile_frigate",
"guildhall",
"guilloche",
"guillotine",
"guimpe",
"guimpe",
"guitar",
"guitar_pick",
"gulag",
"gun",
"gunboat",
"gun_carriage",
"gun_case",
"gun_emplacement, weapons_emplacement",
"gun_enclosure, gun_turret, turret",
"gunlock, firing_mechanism",
"gunnery",
"gunnysack, gunny_sack, burlap_bag",
"gun_pendulum",
"gun_room",
"gunsight, gun-sight",
"gun_trigger, trigger",
"gurney",
"gusher",
"gusset, inset",
"gusset, gusset_plate",
"guy, guy_cable, guy_wire, guy_rope",
"gymnastic_apparatus, exerciser",
"gym_shoe, sneaker, tennis_shoe",
"gym_suit",
"gymslip",
"gypsy_cab",
"gyrocompass",
"gyroscope, gyro",
"gyrostabilizer, gyrostabiliser",
"habergeon",
"habit",
"habit, riding_habit",
"hacienda",
"hacksaw, hack_saw, metal_saw",
"haft, helve",
"hairbrush",
"haircloth, hair",
"hairdressing, hair_tonic, hair_oil, hair_grease",
"hairnet",
"hairpiece, false_hair, postiche",
"hairpin",
"hair_shirt",
"hair_slide",
"hair_spray",
"hairspring",
"hair_trigger",
"halberd",
"half_binding",
"half_hatchet",
"half_hitch",
"half_track",
"hall",
"hall",
"hall",
"hall_of_fame",
"hall_of_residence",
"hallstand",
"halter",
"halter, hackamore",
"hame",
"hammer",
"hammer, power_hammer",
"hammer",
"hammerhead",
"hammock, sack",
"hamper",
"hand",
"handball",
"handbarrow",
"handbell",
"hand_blower, blow_dryer, blow_drier, hair_dryer, hair_drier",
"handbow",
"hand_brake, emergency, emergency_brake, parking_brake",
"hand_calculator, pocket_calculator",
"handcar",
"handcart, pushcart, cart, go-cart",
"hand_cream",
"handcuff, cuff, handlock, manacle",
"hand_drill, handheld_drill",
"hand_glass, simple_microscope, magnifying_glass",
"hand_glass, hand_mirror",
"hand_grenade",
"hand-held_computer, hand-held_microcomputer",
"handhold",
"handkerchief, hankie, hanky, hankey",
"handlebar",
"handloom",
"hand_lotion",
"hand_luggage",
"hand-me-down",
"hand_mower",
"hand_pump",
"handrest",
"handsaw, hand_saw, carpenter's_saw",
"handset, french_telephone",
"hand_shovel",
"handspike",
"handstamp, rubber_stamp",
"hand_throttle",
"hand_tool",
"hand_towel, face_towel",
"hand_truck, truck",
"handwear, hand_wear",
"handwheel",
"handwheel",
"hangar_queen",
"hanger",
"hang_glider",
"hangman's_rope, hangman's_halter, halter, hemp, hempen_necktie",
"hank",
"hansom, hansom_cab",
"harbor, harbour",
"hard_disc, hard_disk, fixed_disk",
"hard_hat, tin_hat, safety_hat",
"hardtop",
"hardware, ironware",
"hardware_store, ironmonger, ironmonger's_shop",
"harmonica, mouth_organ, harp, mouth_harp",
"harmonium, organ, reed_organ",
"harness",
"harness",
"harp",
"harp",
"harpoon",
"harpoon_gun",
"harpoon_log",
"harpsichord, cembalo",
"harris_tweed",
"harrow",
"harvester, reaper",
"hash_house",
"hasp",
"hat, chapeau, lid",
"hatbox",
"hatch",
"hatchback, hatchback_door",
"hatchback",
"hatchel, heckle",
"hatchet",
"hatpin",
"hauberk, byrnie",
"hawaiian_guitar, steel_guitar",
"hawse, hawsehole, hawsepipe",
"hawser",
"hawser_bend",
"hay_bale",
"hayfork",
"hayloft, haymow, mow",
"haymaker, hay_conditioner",
"hayrack, hayrig",
"hayrack",
"hazard",
"head",
"head",
"head",
"headboard",
"head_covering, veil",
"headdress, headgear",
"header",
"header",
"header, coping, cope",
"header, lintel",
"headfast",
"head_gasket",
"head_gate",
"headgear",
"headlight, headlamp",
"headpiece",
"headpin, kingpin",
"headquarters, central_office, main_office, home_office, home_base",
"headrace",
"headrest",
"headsail",
"headscarf",
"headset",
"head_shop",
"headstall, headpiece",
"headstock",
"health_spa, spa, health_club",
"hearing_aid, ear_trumpet",
"hearing_aid, deaf-aid",
"hearse",
"hearth, fireside",
"hearthrug",
"heart-lung_machine",
"heat_engine",
"heater, warmer",
"heat_exchanger",
"heating_pad, hot_pad",
"heat_lamp, infrared_lamp",
"heat_pump",
"heat-seeking_missile",
"heat_shield",
"heat_sink",
"heaume",
"heaver",
"heavier-than-air_craft",
"heckelphone, basset_oboe",
"hectograph, heliotype",
"hedge, hedgerow",
"hedge_trimmer",
"helicon, bombardon",
"helicopter, chopper, whirlybird, eggbeater",
"heliograph",
"heliometer",
"helm",
"helmet",
"helmet",
"hematocrit, haematocrit",
"hemming-stitch",
"hemostat, haemostat",
"hemstitch, hemstitching",
"henroost",
"heraldry",
"hermitage",
"herringbone",
"herringbone, herringbone_pattern",
"herschelian_telescope, off-axis_reflector",
"hessian_boot, hessian, jackboot, wellington, wellington_boot",
"heterodyne_receiver, superheterodyne_receiver, superhet",
"hibachi",
"hideaway, retreat",
"hi-fi, high_fidelity_sound_system",
"high_altar",
"high-angle_gun",
"highball_glass",
"highboard",
"highboy, tallboy",
"highchair, feeding_chair",
"high_gear, high",
"high-hat_cymbal, high_hat",
"highlighter",
"highlighter",
"high-pass_filter",
"high-rise, tower_block",
"high_table",
"high-warp_loom",
"hijab",
"hinge, flexible_joint",
"hinging_post, swinging_post",
"hip_boot, thigh_boot",
"hipflask, pocket_flask",
"hip_pad",
"hip_pocket",
"hippodrome",
"hip_roof, hipped_roof",
"hitch",
"hitch",
"hitching_post",
"hitchrack, hitching_bar",
"hob",
"hobble_skirt",
"hockey_skate",
"hockey_stick",
"hod",
"hodoscope",
"hoe",
"hoe_handle",
"hogshead",
"hoist",
"hold, keep",
"holder",
"holding_cell",
"holding_device",
"holding_pen, holding_paddock, holding_yard",
"hollowware, holloware",
"holster",
"holster",
"holy_of_holies, sanctum_sanctorum",
"home, nursing_home, rest_home",
"home_appliance, household_appliance",
"home_computer",
"home_plate, home_base, home, plate",
"home_room, homeroom",
"homespun",
"homestead",
"home_theater, home_theatre",
"homing_torpedo",
"hone",
"honeycomb",
"hood, bonnet, cowl, cowling",
"hood",
"hood",
"hood, exhaust_hood",
"hood",
"hood_latch",
"hook",
"hook, claw",
"hook",
"hookah, narghile, nargileh, sheesha, shisha, chicha, calean, kalian, water_pipe, hubble-bubble, hubbly-bubbly",
"hook_and_eye",
"hookup, assemblage",
"hookup",
"hook_wrench, hook_spanner",
"hoopskirt, crinoline",
"hoosegow, hoosgow",
"hoover",
"hope_chest, wedding_chest",
"hopper",
"hopsacking, hopsack",
"horizontal_bar, high_bar",
"horizontal_stabilizer, horizontal_stabiliser, tailplane",
"horizontal_tail",
"horn",
"horn",
"horn",
"horn_button",
"hornpipe, pibgorn, stockhorn",
"horse, gymnastic_horse",
"horsebox",
"horsecar",
"horse_cart, horse-cart",
"horsecloth",
"horse-drawn_vehicle",
"horsehair",
"horsehair_wig",
"horseless_carriage",
"horse_pistol, horse-pistol",
"horseshoe, shoe",
"horseshoe",
"horse-trail",
"horsewhip",
"hose",
"hosiery, hose",
"hospice",
"hospital, infirmary",
"hospital_bed",
"hospital_room",
"hospital_ship",
"hospital_train",
"hostel, youth_hostel, student_lodging",
"hostel, hostelry, inn, lodge, auberge",
"hot-air_balloon",
"hotel",
"hotel-casino, casino-hotel",
"hotel-casino, casino-hotel",
"hotel_room",
"hot_line",
"hot_pants",
"hot_plate, hotplate",
"hot_rod, hot-rod",
"hot_spot, hotspot",
"hot_tub",
"hot-water_bottle, hot-water_bag",
"houndstooth_check, hound's-tooth_check, dogstooth_check, dogs-tooth_check, dog's-tooth_check",
"hourglass",
"hour_hand, little_hand",
"house",
"house",
"houseboat",
"houselights",
"house_of_cards, cardhouse, card-house, cardcastle",
"house_of_correction",
"house_paint, housepaint",
"housetop",
"housing, lodging, living_accommodations",
"hovel, hut, hutch, shack, shanty",
"hovercraft, ground-effect_machine",
"howdah, houdah",
"huarache, huaraches",
"hub-and-spoke, hub-and-spoke_system",
"hubcap",
"huck, huckaback",
"hug-me-tight",
"hula-hoop",
"hulk",
"hull",
"humeral_veil, veil",
"humvee, hum-vee",
"hunter, hunting_watch",
"hunting_knife",
"hurdle",
"hurricane_deck, hurricane_roof, promenade_deck, awning_deck",
"hurricane_lamp, hurricane_lantern, tornado_lantern, storm_lantern, storm_lamp",
"hut, army_hut, field_hut",
"hutch",
"hutment",
"hydraulic_brake, hydraulic_brakes",
"hydraulic_press",
"hydraulic_pump, hydraulic_ram",
"hydraulic_system",
"hydraulic_transmission, hydraulic_transmission_system",
"hydroelectric_turbine",
"hydrofoil, hydroplane",
"hydrofoil, foil",
"hydrogen_bomb, h-bomb, fusion_bomb, thermonuclear_bomb",
"hydrometer, gravimeter",
"hygrodeik",
"hygrometer",
"hygroscope",
"hyperbaric_chamber",
"hypercoaster",
"hypermarket",
"hypodermic_needle",
"hypodermic_syringe, hypodermic, hypo",
"hypsometer",
"hysterosalpingogram",
"i-beam",
"ice_ax, ice_axe, piolet",
"iceboat, ice_yacht, scooter",
"icebreaker, iceboat",
"iced-tea_spoon",
"ice_hockey_rink, ice-hockey_rink",
"ice_machine",
"ice_maker",
"ice_pack, ice_bag",
"icepick, ice_pick",
"ice_rink, ice-skating_rink, ice",
"ice_skate",
"ice_tongs",
"icetray",
"iconoscope",
"identikit, identikit_picture",
"idle_pulley, idler_pulley, idle_wheel",
"igloo, iglu",
"ignition_coil",
"ignition_key",
"ignition_switch",
"imaret",
"immovable_bandage",
"impact_printer",
"impeller",
"implant",
"implement",
"impression",
"imprint",
"improvised_explosive_device, i.e.d., ied",
"impulse_turbine",
"in-basket, in-tray",
"incendiary_bomb, incendiary, firebomb",
"incinerator",
"inclined_plane",
"inclinometer, dip_circle",
"inclinometer",
"incrustation, encrustation",
"incubator, brooder",
"index_register",
"indiaman",
"indian_club",
"indicator",
"induction_coil",
"inductor, inductance",
"industrial_watercourse",
"inertial_guidance_system, inertial_navigation_system",
"inflater, inflator",
"inhaler, inhalator",
"injector",
"ink_bottle, inkpot",
"ink_eraser",
"ink-jet_printer",
"inkle",
"inkstand",
"inkwell, inkstand",
"inlay",
"inside_caliper",
"insole, innersole",
"instep",
"instillator",
"institution",
"instrument",
"instrument_of_punishment",
"instrument_of_torture",
"intaglio, diaglyph",
"intake_valve",
"integrated_circuit, microcircuit",
"integrator, planimeter",
"intelnet",
"interceptor",
"interchange",
"intercommunication_system, intercom",
"intercontinental_ballistic_missile, icbm",
"interface, port",
"interferometer",
"interior_door",
"internal-combustion_engine, ice",
"internal_drive",
"internet, net, cyberspace",
"interphone",
"interrupter",
"intersection, crossroad, crossway, crossing, carrefour",
"interstice",
"intraocular_lens",
"intravenous_pyelogram, ivp",
"inverter",
"ion_engine",
"ionization_chamber, ionization_tube",
"ipod",
"video_ipod",
"iron, smoothing_iron",
"iron",
"iron, branding_iron",
"irons, chains",
"ironclad",
"iron_foundry",
"iron_horse",
"ironing",
"iron_lung",
"ironmongery",
"ironworks",
"irrigation_ditch",
"izar",
"jabot",
"jack",
"jack, jackstones",
"jack",
"jack",
"jacket",
"jacket",
"jacket",
"jack-in-the-box",
"jack-o'-lantern",
"jack_plane",
"jacob's_ladder, jack_ladder, pilot_ladder",
"jaconet",
"jacquard_loom, jacquard",
"jacquard",
"jag, dag",
"jail, jailhouse, gaol, clink, slammer, poky, pokey",
"jalousie",
"jamb",
"jammer",
"jampot, jamjar",
"japan",
"jar",
"jarvik_heart, jarvik_artificial_heart",
"jaunting_car, jaunty_car",
"javelin",
"jaw",
"jaws_of_life",
"jean, blue_jean, denim",
"jeep, landrover",
"jellaba",
"jerkin",
"jeroboam, double-magnum",
"jersey",
"jersey, t-shirt, tee_shirt",
"jet, jet_plane, jet-propelled_plane",
"jet_bridge",
"jet_engine",
"jetliner",
"jeweler's_glass",
"jewelled_headdress, jeweled_headdress",
"jew's_harp, jews'_harp, mouth_bow",
"jib",
"jibboom",
"jig",
"jig",
"jiggermast, jigger",
"jigsaw, scroll_saw, fretsaw",
"jigsaw_puzzle",
"jinrikisha, ricksha, rickshaw",
"jobcentre",
"jodhpurs, jodhpur_breeches, riding_breeches",
"jodhpur, jodhpur_boot, jodhpur_shoe",
"joinery",
"joint",
"joint_direct_attack_munition, jdam",
"jointer, jointer_plane, jointing_plane, long_plane",
"joist",
"jolly_boat, jolly",
"jorum",
"joss_house",
"journal_bearing",
"journal_box",
"joystick",
"jungle_gym",
"junk",
"jug",
"jukebox, nickelodeon",
"jumbojet, jumbo_jet",
"jumper, pinafore, pinny",
"jumper",
"jumper",
"jumper",
"jumper_cable, jumper_lead, lead, booster_cable",
"jump_seat",
"jump_suit",
"jump_suit, jumpsuit",
"junction",
"junction, conjunction",
"junction_barrier, barrier_strip",
"junk_shop",
"jury_box",
"jury_mast",
"kachina",
"kaffiyeh",
"kalansuwa",
"kalashnikov",
"kameez",
"kanzu",
"katharometer",
"kayak",
"kazoo",
"keel",
"keelboat",
"keelson",
"keep, donjon, dungeon",
"keg",
"kennel, doghouse, dog_house",
"kepi, peaked_cap, service_cap, yachting_cap",
"keratoscope",
"kerchief",
"ketch",
"kettle, boiler",
"kettle, kettledrum, tympanum, tympani, timpani",
"key",
"key",
"keyboard",
"keyboard_buffer",
"keyboard_instrument",
"keyhole",
"keyhole_saw",
"khadi, khaddar",
"khaki",
"khakis",
"khimar",
"khukuri",
"kick_pleat",
"kicksorter, pulse_height_analyzer",
"kickstand",
"kick_starter, kick_start",
"kid_glove, suede_glove",
"kiln",
"kilt",
"kimono",
"kinescope, picture_tube, television_tube",
"kinetoscope",
"king",
"king",
"kingbolt, kingpin, swivel_pin",
"king_post",
"kipp's_apparatus",
"kirk",
"kirpan",
"kirtle",
"kirtle",
"kit, outfit",
"kit",
"kitbag, kit_bag",
"kitchen",
"kitchen_appliance",
"kitchenette",
"kitchen_table",
"kitchen_utensil",
"kitchenware",
"kite_balloon",
"klaxon, claxon",
"klieg_light",
"klystron",
"knee_brace",
"knee-high, knee-hi",
"knee_pad",
"knee_piece",
"knife",
"knife",
"knife_blade",
"knight, horse",
"knit",
"knitting_machine",
"knitting_needle",
"knitwear",
"knob, boss",
"knob, pommel",
"knobble",
"knobkerrie, knobkerry",
"knocker, doorknocker, rapper",
"knot",
"knuckle_joint, hinge_joint",
"kohl",
"koto",
"kraal",
"kremlin",
"kris, creese, crease",
"krummhorn, crumhorn, cromorne",
"kundt's_tube",
"kurdistan",
"kurta",
"kylix, cylix",
"kymograph, cymograph",
"lab_bench, laboratory_bench",
"lab_coat, laboratory_coat",
"lace",
"lacquer",
"lacquerware",
"lacrosse_ball",
"ladder-back",
"ladder-back, ladder-back_chair",
"ladder_truck, aerial_ladder_truck",
"ladies'_room, powder_room",
"ladle",
"lady_chapel",
"lagerphone",
"lag_screw, lag_bolt",
"lake_dwelling, pile_dwelling",
"lally, lally_column",
"lamasery",
"lambrequin",
"lame",
"laminar_flow_clean_room",
"laminate",
"lamination",
"lamp",
"lamp",
"lamp_house, lamphouse, lamp_housing",
"lamppost",
"lampshade, lamp_shade",
"lanai",
"lancet_arch, lancet",
"lancet_window",
"landau",
"lander",
"landing_craft",
"landing_flap",
"landing_gear",
"landing_net",
"landing_skid",
"land_line, landline",
"land_mine, ground-emplaced_mine, booby_trap",
"land_office",
"lanolin",
"lantern",
"lanyard, laniard",
"lap, lap_covering",
"laparoscope",
"lapboard",
"lapel",
"lap_joint, splice",
"laptop, laptop_computer",
"laryngoscope",
"laser, optical_maser",
"laser-guided_bomb, lgb",
"laser_printer",
"lash, thong",
"lashing",
"lasso, lariat, riata, reata",
"latch",
"latch, door_latch",
"latchet",
"latchkey",
"lateen, lateen_sail",
"latex_paint, latex, rubber-base_paint",
"lath",
"lathe",
"latrine",
"lattice, latticework, fretwork",
"launch",
"launcher, rocket_launcher",
"laundry, wash, washing, washables",
"laundry_cart",
"laundry_truck",
"lavalava",
"lavaliere, lavalier, lavalliere",
"laver",
"lawn_chair, garden_chair",
"lawn_furniture",
"lawn_mower, mower",
"layette",
"lead-acid_battery, lead-acid_accumulator",
"lead-in",
"leading_rein",
"lead_pencil",
"leaf_spring",
"lean-to",
"lean-to_tent",
"leash, tether, lead",
"leatherette, imitation_leather",
"leather_strip",
"leclanche_cell",
"lectern, reading_desk",
"lecture_room",
"lederhosen",
"ledger_board",
"leg",
"leg",
"legging, leging, leg_covering",
"leiden_jar, leyden_jar",
"leisure_wear",
"lens, lense, lens_system",
"lens, electron_lens",
"lens_cap, lens_cover",
"lens_implant, interocular_lens_implant, iol",
"leotard, unitard, body_suit, cat_suit",
"letter_case",
"letter_opener, paper_knife, paperknife",
"levee",
"level, spirit_level",
"lever",
"lever, lever_tumbler",
"lever",
"lever_lock",
"levi's, levis",
"liberty_ship",
"library",
"library",
"lid",
"liebig_condenser",
"lie_detector",
"lifeboat",
"life_buoy, lifesaver, life_belt, life_ring",
"life_jacket, life_vest, cork_jacket",
"life_office",
"life_preserver, preserver, flotation_device",
"life-support_system, life_support",
"life-support_system, life_support",
"lifting_device",
"lift_pump",
"ligament",
"ligature",
"light, light_source",
"light_arm",
"light_bulb, lightbulb, bulb, incandescent_lamp, electric_light, electric-light_bulb",
"light_circuit, lighting_circuit",
"light-emitting_diode, led",
"lighter, light, igniter, ignitor",
"lighter-than-air_craft",
"light_filter, diffusing_screen",
"lighting",
"light_machine_gun",
"light_meter, exposure_meter, photometer",
"light_microscope",
"lightning_rod, lightning_conductor",
"light_pen, electronic_stylus",
"lightship",
"lilo",
"limber",
"limekiln",
"limiter, clipper",
"limousine, limo",
"linear_accelerator, linac",
"linen",
"line_printer, line-at-a-time_printer",
"liner, ocean_liner",
"liner, lining",
"lingerie, intimate_apparel",
"lining, liner",
"link, data_link",
"linkage",
"link_trainer",
"linocut",
"linoleum_knife, linoleum_cutter",
"linotype, linotype_machine",
"linsey-woolsey",
"linstock",
"lion-jaw_forceps",
"lip-gloss",
"lipstick, lip_rouge",
"liqueur_glass",
"liquid_crystal_display, lcd",
"liquid_metal_reactor",
"lisle",
"lister, lister_plow, lister_plough, middlebreaker, middle_buster",
"litterbin, litter_basket, litter-basket",
"little_theater, little_theatre",
"live_axle, driving_axle",
"living_quarters, quarters",
"living_room, living-room, sitting_room, front_room, parlor, parlour",
"load",
"loafer",
"loaner",
"lobe",
"lobster_pot",
"local",
"local_area_network, lan",
"local_oscillator, heterodyne_oscillator",
"lochaber_ax",
"lock",
"lock, ignition_lock",
"lock, lock_chamber",
"lock",
"lockage",
"locker",
"locker_room",
"locket",
"lock-gate",
"locking_pliers",
"lockring, lock_ring, lock_washer",
"lockstitch",
"lockup",
"locomotive, engine, locomotive_engine, railway_locomotive",
"lodge, indian_lodge",
"lodge, hunting_lodge",
"lodge",
"lodging_house, rooming_house",
"loft, attic, garret",
"loft, pigeon_loft",
"loft",
"log_cabin",
"loggia",
"longbow",
"long_iron",
"long_johns",
"long_sleeve",
"long_tom",
"long_trousers, long_pants",
"long_underwear, union_suit",
"looking_glass, glass",
"lookout, observation_tower, lookout_station, observatory",
"loom",
"loop_knot",
"lorgnette",
"lorraine_cross, cross_of_lorraine",
"lorry, camion",
"lota",
"lotion",
"loudspeaker, speaker, speaker_unit, loudspeaker_system, speaker_system",
"lounge, waiting_room, waiting_area",
"lounger",
"lounging_jacket, smoking_jacket",
"lounging_pajama, lounging_pyjama",
"loungewear",
"loupe, jeweler's_loupe",
"louvered_window, jalousie",
"love_knot, lovers'_knot, lover's_knot, true_lovers'_knot, true_lover's_knot",
"love_seat, loveseat, tete-a-tete, vis-a-vis",
"loving_cup",
"lowboy",
"low-pass_filter",
"low-warp-loom",
"lp, l-p",
"l-plate",
"lubber's_hole",
"lubricating_system, force-feed_lubricating_system, force_feed, pressure-feed_lubricating_system, pressure_feed",
"luff",
"lug",
"luge",
"luger",
"luggage_carrier",
"luggage_compartment, automobile_trunk, trunk",
"luggage_rack, roof_rack",
"lugger",
"lugsail, lug",
"lug_wrench",
"lumberjack, lumber_jacket",
"lumbermill, sawmill",
"lunar_excursion_module, lunar_module, lem",
"lunchroom",
"lunette",
"lungi, lungyi, longyi",
"lunula",
"lusterware",
"lute",
"luxury_liner, express_luxury_liner",
"lyceum",
"lychgate, lichgate",
"lyre",
"machete, matchet, panga",
"machicolation",
"machine",
"machine, simple_machine",
"machine_bolt",
"machine_gun",
"machinery",
"machine_screw",
"machine_tool",
"machinist's_vise, metalworking_vise",
"machmeter",
"mackinaw",
"mackinaw, mackinaw_boat",
"mackinaw, mackinaw_coat",
"mackintosh, macintosh",
"macrame",
"madras",
"mae_west, air_jacket",
"magazine_rack",
"magic_lantern",
"magnet",
"magnetic_bottle",
"magnetic_compass",
"magnetic_core_memory, core_memory",
"magnetic_disk, magnetic_disc, disk, disc",
"magnetic_head",
"magnetic_mine",
"magnetic_needle",
"magnetic_recorder",
"magnetic_stripe",
"magnetic_tape, mag_tape, tape",
"magneto, magnetoelectric_machine",
"magnetometer, gaussmeter",
"magnetron",
"magnifier",
"magnum",
"magnus_hitch",
"mail",
"mailbag, postbag",
"mailbag, mail_pouch",
"mailboat, mail_boat, packet, packet_boat",
"mailbox, letter_box",
"mail_car",
"maildrop",
"mailer",
"maillot",
"maillot, tank_suit",
"mailsorter",
"mail_train",
"mainframe, mainframe_computer",
"mainmast",
"main_rotor",
"mainsail",
"mainspring",
"main-topmast",
"main-topsail",
"main_yard",
"maisonette, maisonnette",
"majolica, maiolica",
"makeup, make-up, war_paint",
"maksutov_telescope",
"malacca, malacca_cane",
"mallet, beetle",
"mallet, hammer",
"mallet",
"mammogram",
"mandola",
"mandolin",
"manger, trough",
"mangle",
"manhole",
"manhole_cover",
"man-of-war, ship_of_the_line",
"manometer",
"manor, manor_house",
"manor_hall, hall",
"manpad",
"mansard, mansard_roof",
"manse",
"mansion, mansion_house, manse, hall, residence",
"mantel, mantelpiece, mantle, mantlepiece, chimneypiece",
"mantelet, mantilla",
"mantilla",
"mao_jacket",
"map",
"maquiladora",
"maraca",
"marble",
"marching_order",
"marimba, xylophone",
"marina",
"marker",
"marketplace, market_place, mart, market",
"marlinespike, marlinspike, marlingspike",
"marocain, crepe_marocain",
"marquee, marquise",
"marquetry, marqueterie",
"marriage_bed",
"martello_tower",
"martingale",
"mascara",
"maser",
"masher",
"mashie, five_iron",
"mashie_niblick, seven_iron",
"masjid, musjid",
"mask",
"mask",
"masonite",
"mason_jar",
"masonry",
"mason's_level",
"massage_parlor",
"massage_parlor",
"mass_spectrograph",
"mass_spectrometer, spectrometer",
"mast",
"mast",
"mastaba, mastabah",
"master_bedroom",
"masterpiece, chef-d'oeuvre",
"mat",
"mat, gym_mat",
"match, lucifer, friction_match",
"match",
"matchboard",
"matchbook",
"matchbox",
"matchlock",
"match_plane, tonguing_and_grooving_plane",
"matchstick",
"material",
"materiel, equipage",
"maternity_hospital",
"maternity_ward",
"matrix",
"matthew_walker, matthew_walker_knot",
"matting",
"mattock",
"mattress_cover",
"maul, sledge, sledgehammer",
"maulstick, mahlstick",
"mauser",
"mausoleum",
"maxi",
"maxim_gun",
"maximum_and_minimum_thermometer",
"maypole",
"maze, labyrinth",
"mazer",
"means",
"measure",
"measuring_cup",
"measuring_instrument, measuring_system, measuring_device",
"measuring_stick, measure, measuring_rod",
"meat_counter",
"meat_grinder",
"meat_hook",
"meat_house",
"meat_safe",
"meat_thermometer",
"mechanical_device",
"mechanical_piano, pianola, player_piano",
"mechanical_system",
"mechanism",
"medical_building, health_facility, healthcare_facility",
"medical_instrument",
"medicine_ball",
"medicine_chest, medicine_cabinet",
"medline",
"megalith, megalithic_structure",
"megaphone",
"memorial, monument",
"memory, computer_memory, storage, computer_storage, store, memory_board",
"memory_chip",
"memory_device, storage_device",
"menagerie, zoo, zoological_garden",
"mending",
"menhir, standing_stone",
"menorah",
"menorah",
"man's_clothing",
"men's_room, men's",
"mercantile_establishment, retail_store, sales_outlet, outlet",
"mercury_barometer",
"mercury_cell",
"mercury_thermometer, mercury-in-glass_thermometer",
"mercury-vapor_lamp",
"mercy_seat",
"merlon",
"mess, mess_hall",
"mess_jacket, monkey_jacket, shell_jacket",
"mess_kit",
"messuage",
"metal_detector",
"metallic",
"metal_screw",
"metal_wood",
"meteorological_balloon",
"meter",
"meterstick, metrestick",
"metronome",
"mezzanine, mezzanine_floor, entresol",
"mezzanine, first_balcony",
"microbalance",
"microbrewery",
"microfiche",
"microfilm",
"micrometer, micrometer_gauge, micrometer_caliper",
"microphone, mike",
"microprocessor",
"microscope",
"microtome",
"microwave, microwave_oven",
"microwave_diathermy_machine",
"microwave_linear_accelerator",
"middy, middy_blouse",
"midiron, two_iron",
"mihrab",
"mihrab",
"military_hospital",
"military_quarters",
"military_uniform",
"military_vehicle",
"milk_bar",
"milk_can",
"milk_float",
"milking_machine",
"milking_stool",
"milk_wagon, milkwagon",
"mill, grinder, milling_machinery",
"milldam",
"miller, milling_machine",
"milliammeter",
"millinery, woman's_hat",
"millinery, hat_shop",
"milling",
"millivoltmeter",
"millstone",
"millstone",
"millwheel, mill_wheel",
"mimeograph, mimeo, mimeograph_machine, roneo, roneograph",
"minaret",
"mincer, mincing_machine",
"mine",
"mine_detector",
"minelayer",
"mineshaft",
"minibar, cellaret",
"minibike, motorbike",
"minibus",
"minicar",
"minicomputer",
"ministry",
"miniskirt, mini",
"minisub, minisubmarine",
"minivan",
"miniver",
"mink, mink_coat",
"minster",
"mint",
"minute_hand, big_hand",
"minuteman",
"mirror",
"missile",
"missile_defense_system, missile_defence_system",
"miter_box, mitre_box",
"miter_joint, mitre_joint, miter, mitre",
"mitten",
"mixer",
"mixer",
"mixing_bowl",
"mixing_faucet",
"mizzen, mizen",
"mizzenmast, mizenmast, mizzen, mizen",
"mobcap",
"mobile_home, manufactured_home",
"moccasin, mocassin",
"mock-up",
"mod_con",
"model_t",
"modem",
"modillion",
"module",
"module",
"mohair",
"moire, watered-silk",
"mold, mould, cast",
"moldboard, mouldboard",
"moldboard_plow, mouldboard_plough",
"moleskin",
"molotov_cocktail, petrol_bomb, gasoline_bomb",
"monastery",
"monastic_habit",
"moneybag",
"money_belt",
"monitor",
"monitor",
"monitor, monitoring_device",
"monkey-wrench, monkey_wrench",
"monk's_cloth",
"monochrome",
"monocle, eyeglass",
"monofocal_lens_implant, monofocal_iol",
"monoplane",
"monotype",
"monstrance, ostensorium",
"mooring_tower, mooring_mast",
"moorish_arch, horseshoe_arch",
"moped",
"mop_handle",
"moquette",
"morgue, mortuary, dead_room",
"morion, cabasset",
"morning_dress",
"morning_dress",
"morning_room",
"morris_chair",
"mortar, howitzer, trench_mortar",
"mortar",
"mortarboard",
"mortise_joint, mortise-and-tenon_joint",
"mosaic",
"mosque",
"mosquito_net",
"motel",
"motel_room",
"mother_hubbard, muumuu",
"motion-picture_camera, movie_camera, cine-camera",
"motion-picture_film, movie_film, cine-film",
"motley",
"motley",
"motor",
"motorboat, powerboat",
"motorcycle, bike",
"motor_hotel, motor_inn, motor_lodge, tourist_court, court",
"motorized_wheelchair",
"motor_scooter, scooter",
"motor_vehicle, automotive_vehicle",
"mound, hill",
"mound, hill, pitcher's_mound",
"mount, setting",
"mountain_bike, all-terrain_bike, off-roader",
"mountain_tent",
"mouse, computer_mouse",
"mouse_button",
"mousetrap",
"mousse, hair_mousse, hair_gel",
"mouthpiece, embouchure",
"mouthpiece",
"mouthpiece, gumshield",
"movement",
"movie_projector, cine_projector, film_projector",
"moving-coil_galvanometer",
"moving_van",
"mud_brick",
"mudguard, splash_guard, splash-guard",
"mudhif",
"muff",
"muffle",
"muffler",
"mufti",
"mug",
"mulch",
"mule, scuff",
"multichannel_recorder",
"multiengine_airplane, multiengine_plane",
"multiplex",
"multiplexer",
"multiprocessor",
"multistage_rocket, step_rocket",
"munition, ordnance, ordnance_store",
"murphy_bed",
"musette, shepherd's_pipe",
"musette_pipe",
"museum",
"mushroom_anchor",
"musical_instrument, instrument",
"music_box, musical_box",
"music_hall, vaudeville_theater, vaudeville_theatre",
"music_school",
"music_stand, music_rack",
"music_stool, piano_stool",
"musket",
"musket_ball, ball",
"muslin",
"mustache_cup, moustache_cup",
"mustard_plaster, sinapism",
"mute",
"muzzle_loader",
"muzzle",
"myelogram",
"nacelle",
"nail",
"nailbrush",
"nailfile",
"nailhead",
"nailhead",
"nail_polish, nail_enamel, nail_varnish",
"nainsook",
"napier's_bones, napier's_rods",
"nard, spikenard",
"narrowbody_aircraft, narrow-body_aircraft, narrow-body",
"narrow_wale",
"narthex",
"narthex",
"nasotracheal_tube",
"national_monument",
"nautilus, nuclear_submarine, nuclear-powered_submarine",
"navigational_system",
"naval_equipment",
"naval_gun",
"naval_missile",
"naval_radar",
"naval_tactical_data_system",
"naval_weaponry",
"nave",
"navigational_instrument",
"nebuchadnezzar",
"neckband",
"neck_brace",
"neckcloth, stock",
"neckerchief",
"necklace",
"necklet",
"neckline",
"neckpiece",
"necktie, tie",
"neckwear",
"needle",
"needle",
"needlenose_pliers",
"needlework, needlecraft",
"negative",
"negative_magnetic_pole, negative_pole, south-seeking_pole",
"negative_pole",
"negligee, neglige, peignoir, wrapper, housecoat",
"neolith",
"neon_lamp, neon_induction_lamp, neon_tube",
"nephoscope",
"nest",
"nest_egg",
"net, network, mesh, meshing, meshwork",
"net",
"net",
"net",
"network, electronic_network",
"network",
"neutron_bomb",
"newel",
"newel_post, newel",
"newspaper, paper",
"newsroom",
"newsroom",
"newsstand",
"newtonian_telescope, newtonian_reflector",
"nib, pen_nib",
"niblick, nine_iron",
"nicad, nickel-cadmium_accumulator",
"nickel-iron_battery, nickel-iron_accumulator",
"nicol_prism",
"night_bell",
"nightcap",
"nightgown, gown, nightie, night-robe, nightdress",
"night_latch",
"night-light",
"nightshirt",
"nightwear, sleepwear, nightclothes",
"ninepin, skittle, skittle_pin",
"ninepin_ball, skittle_ball",
"ninon",
"nipple",
"nipple_shield",
"niqab",
"nissen_hut, quonset_hut",
"nogging",
"noisemaker",
"nonsmoker, nonsmoking_car",
"non-volatile_storage, nonvolatile_storage",
"norfolk_jacket",
"noria",
"nosebag, feedbag",
"noseband, nosepiece",
"nose_flute",
"nosewheel",
"notebook, notebook_computer",
"nuclear-powered_ship",
"nuclear_reactor, reactor",
"nuclear_rocket",
"nuclear_weapon, atomic_weapon",
"nude, nude_painting",
"numdah, numdah_rug, nammad",
"nun's_habit",
"nursery, baby's_room",
"nut_and_bolt",
"nutcracker",
"nylon",
"nylons, nylon_stocking, rayons, rayon_stocking, silk_stocking",
"oar",
"oast",
"oast_house",
"obelisk",
"object_ball",
"objective, objective_lens, object_lens, object_glass",
"oblique_bandage",
"oboe, hautboy, hautbois",
"oboe_da_caccia",
"oboe_d'amore",
"observation_dome",
"observatory",
"obstacle",
"obturator",
"ocarina, sweet_potato",
"octant",
"odd-leg_caliper",
"odometer, hodometer, mileometer, milometer",
"oeil_de_boeuf",
"office, business_office",
"office_building, office_block",
"office_furniture",
"officer's_mess",
"off-line_equipment, auxiliary_equipment",
"ogee, cyma_reversa",
"ogee_arch, keel_arch",
"ohmmeter",
"oil, oil_color, oil_colour",
"oilcan",
"oilcloth",
"oil_filter",
"oil_heater, oilstove, kerosene_heater, kerosine_heater",
"oil_lamp, kerosene_lamp, kerosine_lamp",
"oil_paint",
"oil_pump",
"oil_refinery, petroleum_refinery",
"oilskin, slicker",
"oil_slick",
"oilstone",
"oil_tanker, oiler, tanker, tank_ship",
"old_school_tie",
"olive_drab",
"olive_drab, olive-drab_uniform",
"olympian_zeus",
"omelet_pan, omelette_pan",
"omnidirectional_antenna, nondirectional_antenna",
"omnirange, omnidirectional_range, omnidirectional_radio_range",
"onion_dome",
"open-air_market, open-air_marketplace, market_square",
"open_circuit",
"open-end_wrench, tappet_wrench",
"opener",
"open-hearth_furnace",
"openside_plane, rabbet_plane",
"open_sight",
"openwork",
"opera, opera_house",
"opera_cloak, opera_hood",
"operating_microscope",
"operating_room, or, operating_theater, operating_theatre, surgery",
"operating_table",
"ophthalmoscope",
"optical_device",
"optical_disk, optical_disc",
"optical_instrument",
"optical_pyrometer, pyroscope",
"optical_telescope",
"orchestra_pit, pit",
"ordinary, ordinary_bicycle",
"organ, pipe_organ",
"organdy, organdie",
"organic_light-emitting_diode, oled",
"organ_loft",
"organ_pipe, pipe, pipework",
"organza",
"oriel, oriel_window",
"oriflamme",
"o_ring",
"orlon",
"orlop_deck, orlop, fourth_deck",
"orphanage, orphans'_asylum",
"orphrey",
"orrery",
"orthicon, image_orthicon",
"orthochromatic_film",
"orthopter, ornithopter",
"orthoscope",
"oscillograph",
"oscilloscope, scope, cathode-ray_oscilloscope, cro",
"ossuary",
"otoscope, auriscope, auroscope",
"ottoman, pouf, pouffe, puff, hassock",
"oubliette",
"out-basket, out-tray",
"outboard_motor, outboard",
"outboard_motorboat, outboard",
"outbuilding",
"outerwear, overclothes",
"outfall",
"outfit, getup, rig, turnout",
"outfitter",
"outhouse, privy, earth-closet, jakes",
"output_device",
"outrigger",
"outrigger_canoe",
"outside_caliper",
"outside_mirror",
"outwork",
"oven",
"oven_thermometer",
"overall",
"overall, boilersuit, boilers_suit",
"overcoat, overcoating",
"overdrive",
"overgarment, outer_garment",
"overhand_knot",
"overhang",
"overhead_projector",
"overmantel",
"overnighter, overnight_bag, overnight_case",
"overpass, flyover",
"override",
"overshoe",
"overskirt",
"oxbow",
"oxbridge",
"oxcart",
"oxeye",
"oxford",
"oximeter",
"oxyacetylene_torch",
"oxygen_mask",
"oyster_bar",
"oyster_bed, oyster_bank, oyster_park",
"pace_car",
"pacemaker, artificial_pacemaker",
"pack",
"pack",
"pack, face_pack",
"package, parcel",
"package_store, liquor_store, off-licence",
"packaging",
"packet",
"packing_box, packing_case",
"packinghouse, packing_plant",
"packinghouse",
"packing_needle",
"packsaddle",
"paddle, boat_paddle",
"paddle",
"paddle",
"paddle_box, paddle-box",
"paddle_steamer, paddle-wheeler",
"paddlewheel, paddle_wheel",
"paddock",
"padlock",
"page_printer, page-at-a-time_printer",
"paint, pigment",
"paintball",
"paintball_gun",
"paintbox",
"paintbrush",
"paisley",
"pajama, pyjama, pj's, jammies",
"pajama, pyjama",
"palace",
"palace, castle",
"palace",
"palanquin, palankeen",
"paleolith",
"palestra, palaestra",
"palette, pallet",
"palette_knife",
"palisade",
"pallet",
"pallette, palette",
"pallium",
"pallium",
"pan",
"pan, cooking_pan",
"pancake_turner",
"panchromatic_film",
"panda_car",
"paneling, panelling, pane",
"panhandle",
"panic_button",
"pannier",
"pannier",
"pannikin",
"panopticon",
"panopticon",
"panpipe, pandean_pipe, syrinx",
"pantaloon",
"pantechnicon",
"pantheon",
"pantheon",
"pantie, panty, scanty, step-in",
"panting, trousering",
"pant_leg, trouser_leg",
"pantograph",
"pantry, larder, buttery",
"pants_suit, pantsuit",
"panty_girdle",
"pantyhose",
"panzer",
"paper_chain",
"paper_clip, paperclip, gem_clip",
"paper_cutter",
"paper_fastener",
"paper_feed",
"paper_mill",
"paper_towel",
"parabolic_mirror",
"parabolic_reflector, paraboloid_reflector",
"parachute, chute",
"parallel_bars, bars",
"parallel_circuit, shunt_circuit",
"parallel_interface, parallel_port",
"parang",
"parapet, breastwork",
"parapet",
"parasail",
"parasol, sunshade",
"parer, paring_knife",
"parfait_glass",
"pargeting, pargetting, pargetry",
"pari-mutuel_machine, totalizer, totaliser, totalizator, totalisator",
"parka, windbreaker, windcheater, anorak",
"park_bench",
"parking_meter",
"parlor, parlour",
"parquet, parquet_floor",
"parquetry, parqueterie",
"parsonage, vicarage, rectory",
"parsons_table",
"partial_denture",
"particle_detector",
"partition, divider",
"parts_bin",
"party_line",
"party_wall",
"parvis",
"passenger_car, coach, carriage",
"passenger_ship",
"passenger_train",
"passenger_van",
"passe-partout",
"passive_matrix_display",
"passkey, passe-partout, master_key, master",
"pass-through",
"pastry_cart",
"patch",
"patchcord",
"patchouli, patchouly, pachouli",
"patch_pocket",
"patchwork, patchwork_quilt",
"patent_log, screw_log, taffrail_log",
"paternoster",
"patina",
"patio, terrace",
"patisserie",
"patka",
"patrol_boat, patrol_ship",
"patty-pan",
"pave",
"pavilion, marquee",
"pavior, paviour, paving_machine",
"pavis, pavise",
"pawn",
"pawnbroker's_shop, pawnshop, loan_office",
"pay-phone, pay-station",
"pc_board",
"peach_orchard",
"pea_jacket, peacoat",
"peavey, peavy, cant_dog, dog_hook",
"pectoral, pectoral_medallion",
"pedal, treadle, foot_pedal, foot_lever",
"pedal_pusher, toreador_pants",
"pedestal, plinth, footstall",
"pedestal_table",
"pedestrian_crossing, zebra_crossing",
"pedicab, cycle_rickshaw",
"pediment",
"pedometer",
"peeler",
"peep_sight",
"peg, nog",
"peg, pin, thole, tholepin, rowlock, oarlock",
"peg",
"peg, wooden_leg, leg, pegleg",
"pegboard",
"pelham",
"pelican_crossing",
"pelisse",
"pelvimeter",
"pen",
"penal_colony",
"penal_institution, penal_facility",
"penalty_box",
"pen-and-ink",
"pencil",
"pencil",
"pencil_box, pencil_case",
"pencil_sharpener",
"pendant_earring, drop_earring, eardrop",
"pendulum",
"pendulum_clock",
"pendulum_watch",
"penetration_bomb",
"penile_implant",
"penitentiary, pen",
"penknife",
"penlight",
"pennant, pennon, streamer, waft",
"pennywhistle, tin_whistle, whistle",
"penthouse",
"pentode",
"peplos, peplus, peplum",
"peplum",
"pepper_mill, pepper_grinder",
"pepper_shaker, pepper_box, pepper_pot",
"pepper_spray",
"percale",
"percolator",
"percussion_cap",
"percussion_instrument, percussive_instrument",
"perforation",
"perfume, essence",
"perfumery",
"perfumery",
"perfumery",
"peripheral, computer_peripheral, peripheral_device",
"periscope",
"peristyle",
"periwig, peruke",
"permanent_press, durable_press",
"perpetual_motion_machine",
"personal_computer, pc, microcomputer",
"personal_digital_assistant, pda, personal_organizer, personal_organiser, organizer, organiser",
"personnel_carrier",
"pestle",
"pestle, muller, pounder",
"petcock",
"petri_dish",
"petrolatum_gauze",
"pet_shop",
"petticoat, half-slip, underskirt",
"pew, church_bench",
"phial, vial, ampule, ampul, ampoule",
"phillips_screw",
"phillips_screwdriver",
"phonograph_needle, needle",
"phonograph_record, phonograph_recording, record, disk, disc, platter",
"photocathode",
"photocoagulator",
"photocopier",
"photographic_equipment",
"photographic_paper, photographic_material",
"photometer",
"photomicrograph",
"photostat, photostat_machine",
"photostat",
"physical_pendulum, compound_pendulum",
"piano, pianoforte, forte-piano",
"piano_action",
"piano_keyboard, fingerboard, clavier",
"piano_wire",
"piccolo",
"pick, pickax, pickaxe",
"pick",
"pick, plectrum, plectron",
"pickelhaube",
"picket_boat",
"picket_fence, paling",
"picket_ship",
"pickle_barrel",
"pickup, pickup_truck",
"picture_frame",
"picture_hat",
"picture_rail",
"picture_window",
"piece_of_cloth, piece_of_material",
"pied-a-terre",
"pier",
"pier",
"pier_arch",
"pier_glass, pier_mirror",
"pier_table",
"pieta",
"piezometer",
"pig_bed, pig",
"piggery, pig_farm",
"piggy_bank, penny_bank",
"pilaster",
"pile, spile, piling, stilt",
"pile_driver",
"pill_bottle",
"pillbox, toque, turban",
"pillion",
"pillory",
"pillow",
"pillow_block",
"pillow_lace, bobbin_lace",
"pillow_sham",
"pilot_bit",
"pilot_boat",
"pilot_burner, pilot_light, pilot",
"pilot_cloth",
"pilot_engine",
"pilothouse, wheelhouse",
"pilot_light, pilot_lamp, indicator_lamp",
"pin",
"pin, flag",
"pin, pin_tumbler",
"pinata",
"pinball_machine, pin_table",
"pince-nez",
"pincer, pair_of_pincers, tweezer, pair_of_tweezers",
"pinch_bar",
"pincurl_clip",
"pinfold",
"ping-pong_ball",
"pinhead",
"pinion",
"pinnacle",
"pinprick",
"pinstripe",
"pinstripe",
"pinstripe",
"pintle",
"pinwheel, pinwheel_wind_collector",
"pinwheel",
"tabor_pipe",
"pipe",
"pipe_bomb",
"pipe_cleaner",
"pipe_cutter",
"pipefitting, pipe_fitting",
"pipet, pipette",
"pipe_vise, pipe_clamp",
"pipe_wrench, tube_wrench",
"pique",
"pirate, pirate_ship",
"piste",
"pistol, handgun, side_arm, shooting_iron",
"pistol_grip",
"piston, plunger",
"piston_ring",
"piston_rod",
"pit",
"pitcher, ewer",
"pitchfork",
"pitching_wedge",
"pitch_pipe",
"pith_hat, pith_helmet, sun_helmet, topee, topi",
"piton",
"pitot-static_tube, pitot_head, pitot_tube",
"pitot_tube, pitot",
"pitsaw",
"pivot, pin",
"pivoting_window",
"pizzeria, pizza_shop, pizza_parlor",
"place_of_business, business_establishment",
"place_of_worship, house_of_prayer, house_of_god, house_of_worship",
"placket",
"planchet, coin_blank",
"plane, carpenter's_plane, woodworking_plane",
"plane, planer, planing_machine",
"plane_seat",
"planetarium",
"planetarium",
"planetarium",
"planetary_gear, epicyclic_gear, planet_wheel, planet_gear",
"plank-bed",
"planking",
"planner",
"plant, works, industrial_plant",
"planter",
"plaster, adhesive_plaster, sticking_plaster",
"plasterboard, gypsum_board",
"plastering_trowel",
"plastic_bag",
"plastic_bomb",
"plastic_laminate",
"plastic_wrap",
"plastron",
"plastron",
"plastron",
"plate, scale, shell",
"plate, collection_plate",
"plate",
"platen",
"platen",
"plate_rack",
"plate_rail",
"platform",
"platform, weapons_platform",
"platform",
"platform_bed",
"platform_rocker",
"plating, metal_plating",
"platter",
"playback",
"playbox, play-box",
"playground",
"playpen, pen",
"playsuit",
"plaza, mall, center, shopping_mall, shopping_center, shopping_centre",
"pleat, plait",
"plenum",
"plethysmograph",
"pleximeter, plessimeter",
"plexor, plessor, percussor",
"pliers, pair_of_pliers, plyers",
"plimsoll",
"plotter",
"plow, plough",
"plug, stopper, stopple",
"plug, male_plug",
"plug_fuse",
"plughole",
"plumb_bob, plumb, plummet",
"plumb_level",
"plunger, plumber's_helper",
"plus_fours",
"plush",
"plywood, plyboard",
"pneumatic_drill",
"p-n_junction",
"p-n-p_transistor",
"poacher",
"pocket",
"pocket_battleship",
"pocketcomb, pocket_comb",
"pocket_flap",
"pocket-handkerchief",
"pocketknife, pocket_knife",
"pocket_watch",
"pod, fuel_pod",
"pogo_stick",
"point-and-shoot_camera",
"pointed_arch",
"pointing_trowel",
"point_lace, needlepoint",
"poker, stove_poker, fire_hook, salamander",
"polarimeter, polariscope",
"polaroid",
"polaroid_camera, polaroid_land_camera",
"pole",
"pole",
"poleax, poleaxe",
"poleax, poleaxe",
"police_boat",
"police_van, police_wagon, paddy_wagon, patrol_wagon, wagon, black_maria",
"polling_booth",
"polo_ball",
"polo_mallet, polo_stick",
"polonaise",
"polo_shirt, sport_shirt",
"polyester",
"polygraph",
"pomade, pomatum",
"pommel_horse, side_horse",
"poncho",
"pongee",
"poniard, bodkin",
"pontifical",
"pontoon",
"pontoon_bridge, bateau_bridge, floating_bridge",
"pony_cart, ponycart, donkey_cart, tub-cart",
"pool_ball",
"poolroom",
"pool_table, billiard_table, snooker_table",
"poop_deck",
"poor_box, alms_box, mite_box",
"poorhouse",
"pop_bottle, soda_bottle",
"popgun",
"poplin",
"popper",
"poppet, poppet_valve",
"pop_tent",
"porcelain",
"porch",
"porkpie, porkpie_hat",
"porringer",
"portable",
"portable_computer",
"portable_circular_saw, portable_saw",
"portcullis",
"porte-cochere",
"porte-cochere",
"portfolio",
"porthole",
"portico",
"portiere",
"portmanteau, gladstone, gladstone_bag",
"portrait_camera",
"portrait_lens",
"positive_pole, positive_magnetic_pole, north-seeking_pole",
"positive_pole",
"positron_emission_tomography_scanner, pet_scanner",
"post",
"postage_meter",
"post_and_lintel",
"post_chaise",
"postern",
"post_exchange, px",
"posthole_digger, post-hole_digger",
"post_horn",
"posthouse, post_house",
"pot",
"pot, flowerpot",
"potbelly, potbelly_stove",
"potemkin_village",
"potential_divider, voltage_divider",
"potentiometer, pot",
"potentiometer",
"potpourri",
"potsherd",
"potter's_wheel",
"pottery, clayware",
"pottle",
"potty_seat, potty_chair",
"pouch",
"poultice, cataplasm, plaster",
"pound, dog_pound",
"pound_net",
"powder",
"powder_and_shot",
"powdered_mustard, dry_mustard",
"powder_horn, powder_flask",
"powder_keg",
"power_brake",
"power_cord",
"power_drill",
"power_line, power_cable",
"power_loom",
"power_mower, motor_mower",
"power_pack",
"power_saw, saw, sawing_machine",
"power_shovel, excavator, digger, shovel",
"power_steering, power-assisted_steering",
"power_takeoff, pto",
"power_tool",
"praetorium, pretorium",
"prayer_rug, prayer_mat",
"prayer_shawl, tallith, tallis",
"precipitator, electrostatic_precipitator, cottrell_precipitator",
"prefab",
"presbytery",
"presence_chamber",
"press, mechanical_press",
"press, printing_press",
"press",
"press_box",
"press_gallery",
"press_of_sail, press_of_canvas",
"pressure_cabin",
"pressure_cooker",
"pressure_dome",
"pressure_gauge, pressure_gage",
"pressurized_water_reactor, pwr",
"pressure_suit",
"pricket",
"prie-dieu",
"primary_coil, primary_winding, primary",
"primus_stove, primus",
"prince_albert",
"print",
"print_buffer",
"printed_circuit",
"printer, printing_machine",
"printer",
"printer_cable",
"priory",
"prison, prison_house",
"prison_camp, internment_camp, prisoner_of_war_camp, pow_camp",
"privateer",
"private_line",
"privet_hedge",
"probe",
"proctoscope",
"prod, goad",
"production_line, assembly_line, line",
"projectile, missile",
"projector",
"projector",
"prolonge",
"prolonge_knot, sailor's_breastplate",
"prompter, autocue",
"prong",
"propeller, propellor",
"propeller_plane",
"propjet, turboprop, turbo-propeller_plane",
"proportional_counter_tube, proportional_counter",
"propulsion_system",
"proscenium, proscenium_wall",
"proscenium_arch",
"prosthesis, prosthetic_device",
"protective_covering, protective_cover, protection",
"protective_garment",
"proton_accelerator",
"protractor",
"pruner, pruning_hook, lopper",
"pruning_knife",
"pruning_saw",
"pruning_shears",
"psaltery",
"psychrometer",
"pt_boat, mosquito_boat, mosquito_craft, motor_torpedo_boat",
"public_address_system, p.a._system, pa_system, p.a., pa",
"public_house, pub, saloon, pothouse, gin_mill, taphouse",
"public_toilet, comfort_station, public_convenience, convenience, public_lavatory, restroom, toilet_facility, wash_room",
"public_transport",
"public_works",
"puck, hockey_puck",
"pull",
"pullback, tieback",
"pull_chain",
"pulley, pulley-block, pulley_block, block",
"pull-off, rest_area, rest_stop, layby, lay-by",
"pullman, pullman_car",
"pullover, slipover",
"pull-through",
"pulse_counter",
"pulse_generator",
"pulse_timing_circuit",
"pump",
"pump",
"pump_action, slide_action",
"pump_house, pumping_station",
"pump_room",
"pump-type_pliers",
"pump_well",
"punch, puncher",
"punchboard",
"punch_bowl",
"punching_bag, punch_bag, punching_ball, punchball",
"punch_pliers",
"punch_press",
"punnet",
"punt",
"pup_tent, shelter_tent",
"purdah",
"purifier",
"purl, purl_stitch",
"purse",
"push-bike",
"push_broom",
"push_button, push, button",
"push-button_radio",
"pusher, zori",
"put-put",
"puttee",
"putter, putting_iron",
"putty_knife",
"puzzle",
"pylon, power_pylon",
"pylon",
"pyramidal_tent",
"pyrograph",
"pyrometer",
"pyrometric_cone",
"pyrostat",
"pyx, pix",
"pyx, pix, pyx_chest, pix_chest",
"pyxis",
"quad, quadrangle",
"quadrant",
"quadraphony, quadraphonic_system, quadriphonic_system",
"quartering",
"quarterstaff",
"quartz_battery, quartz_mill",
"quartz_lamp",
"queen",
"queen",
"queen_post",
"quern",
"quill, quill_pen",
"quilt, comforter, comfort, puff",
"quilted_bedspread",
"quilting",
"quipu",
"quirk_molding, quirk_moulding",
"quirt",
"quiver",
"quoin, coign, coigne",
"quoit",
"qwerty_keyboard",
"rabbet, rebate",
"rabbet_joint",
"rabbit_ears",
"rabbit_hutch",
"raceabout",
"racer, race_car, racing_car",
"raceway, race",
"racing_boat",
"racing_gig",
"racing_skiff, single_shell",
"rack, stand",
"rack",
"rack, wheel",
"rack_and_pinion",
"racket, racquet",
"racquetball",
"radar, microwave_radar, radio_detection_and_ranging, radiolocation",
"radial, radial_tire, radial-ply_tire",
"radial_engine, rotary_engine",
"radiation_pyrometer",
"radiator",
"radiator",
"radiator_cap",
"radiator_hose",
"radio, wireless",
"radio_antenna, radio_aerial",
"radio_chassis",
"radio_compass",
"radiogram, radiograph, shadowgraph, skiagraph, skiagram",
"radio_interferometer",
"radio_link, link",
"radiometer",
"radiomicrometer",
"radio-phonograph, radio-gramophone",
"radio_receiver, receiving_set, radio_set, radio, tuner, wireless",
"radiotelegraph, radiotelegraphy, wireless_telegraph, wireless_telegraphy",
"radiotelephone, radiophone, wireless_telephone",
"radio_telescope, radio_reflector",
"radiotherapy_equipment",
"radio_transmitter",
"radome, radar_dome",
"raft",
"rafter, balk, baulk",
"raft_foundation",
"rag, shred, tag, tag_end, tatter",
"ragbag",
"raglan",
"raglan_sleeve",
"rail",
"rail_fence",
"railhead",
"railing, rail",
"railing",
"railroad_bed",
"railroad_tunnel",
"rain_barrel",
"raincoat, waterproof",
"rain_gauge, rain_gage, pluviometer, udometer",
"rain_stick",
"rake",
"rake_handle",
"ram_disk",
"ramekin, ramequin",
"ramjet, ramjet_engine, atherodyde, athodyd, flying_drainpipe",
"rammer",
"ramp, incline",
"rampant_arch",
"rampart, bulwark, wall",
"ramrod",
"ramrod",
"ranch, spread, cattle_ranch, cattle_farm",
"ranch_house",
"random-access_memory, random_access_memory, random_memory, ram, read/write_memory",
"rangefinder, range_finder",
"range_hood",
"range_pole, ranging_pole, flagpole",
"rapier, tuck",
"rariora",
"rasp, wood_file",
"ratchet, rachet, ratch",
"ratchet_wheel",
"rathskeller",
"ratline, ratlin",
"rat-tail_file",
"rattan, ratan",
"rattrap",
"rayon",
"razor",
"razorblade",
"reaction-propulsion_engine, reaction_engine",
"reaction_turbine",
"reactor",
"reading_lamp",
"reading_room",
"read-only_memory, rom, read-only_storage, fixed_storage",
"read-only_memory_chip",
"readout, read-out",
"read/write_head, head",
"ready-to-wear",
"real_storage",
"reamer",
"reamer, juicer, juice_reamer",
"rearview_mirror",
"reaumur_thermometer",
"rebozo",
"receiver, receiving_system",
"receptacle",
"reception_desk",
"reception_room",
"recess, niche",
"reciprocating_engine",
"recliner, reclining_chair, lounger",
"reconnaissance_plane",
"reconnaissance_vehicle, scout_car",
"record_changer, auto-changer, changer",
"recorder, recording_equipment, recording_machine",
"recording",
"recording_system",
"record_player, phonograph",
"record_sleeve, record_cover",
"recovery_room",
"recreational_vehicle, rv, r.v.",
"recreation_room, rec_room",
"recycling_bin",
"recycling_plant",
"redbrick_university",
"red_carpet",
"redoubt",
"redoubt",
"reduction_gear",
"reed_pipe",
"reed_stop",
"reef_knot, flat_knot",
"reel",
"reel",
"refectory",
"refectory_table",
"refinery",
"reflecting_telescope, reflector",
"reflectometer",
"reflector",
"reflex_camera",
"reflux_condenser",
"reformatory, reform_school, training_school",
"reformer",
"refracting_telescope",
"refractometer",
"refrigeration_system",
"refrigerator, icebox",
"refrigerator_car",
"refuge, sanctuary, asylum",
"regalia",
"regimentals",
"regulator",
"rein",
"relay, electrical_relay",
"release, button",
"religious_residence, cloister",
"reliquary",
"remote_control, remote",
"remote_terminal, link-attached_terminal, remote_station, link-attached_station",
"removable_disk",
"rendering",
"rep, repp",
"repair_shop, fix-it_shop",
"repeater",
"repeating_firearm, repeater",
"repository, monument",
"reproducer",
"rerebrace, upper_cannon",
"rescue_equipment",
"research_center, research_facility",
"reseau",
"reservoir",
"reset",
"reset_button",
"residence",
"resistance_pyrometer",
"resistor, resistance",
"resonator",
"resonator, cavity_resonator, resonating_chamber",
"resort_hotel, spa",
"respirator, inhalator",
"restaurant, eating_house, eating_place, eatery",
"rest_house",
"restraint, constraint",
"resuscitator",
"retainer",
"retaining_wall",
"reticle, reticule, graticule",
"reticulation",
"reticule",
"retort",
"retractor",
"return_key, return",
"reverberatory_furnace",
"revers, revere",
"reverse, reverse_gear",
"reversible",
"revetment, revetement, stone_facing",
"revetment",
"revolver, six-gun, six-shooter",
"revolving_door, revolver",
"rheometer",
"rheostat, variable_resistor",
"rhinoscope",
"rib",
"riband, ribband",
"ribbed_vault",
"ribbing",
"ribbon_development",
"rib_joint_pliers",
"ricer",
"riddle",
"ride",
"ridge, ridgepole, rooftree",
"ridge_rope",
"riding_boot",
"riding_crop, hunting_crop",
"riding_mower",
"rifle",
"rifle_ball",
"rifle_grenade",
"rig",
"rigger, rigger_brush",
"rigger",
"rigging, tackle",
"rigout",
"ringlet",
"rings",
"rink, skating_rink",
"riot_gun",
"ripcord",
"ripcord",
"ripping_bar",
"ripping_chisel",
"ripsaw, splitsaw",
"riser",
"riser, riser_pipe, riser_pipeline, riser_main",
"ritz",
"river_boat",
"rivet",
"riveting_machine, riveter, rivetter",
"roach_clip, roach_holder",
"road, route",
"roadbed",
"roadblock, barricade",
"roadhouse",
"roadster, runabout, two-seater",
"roadway",
"roaster",
"robe",
"robotics_equipment",
"rochon_prism, wollaston_prism",
"rock_bit, roller_bit",
"rocker",
"rocker, cradle",
"rocker_arm, valve_rocker",
"rocket, rocket_engine",
"rocket, projectile",
"rocking_chair, rocker",
"rod",
"rodeo",
"roll",
"roller",
"roller",
"roller_bandage",
"in-line_skate",
"rollerblade",
"roller_blind",
"roller_coaster, big_dipper, chute-the-chute",
"roller_skate",
"roller_towel",
"roll_film",
"rolling_hitch",
"rolling_mill",
"rolling_pin",
"rolling_stock",
"roll-on",
"roll-on",
"roll-on_roll-off",
"rolodex",
"roman_arch, semicircular_arch",
"roman_building",
"romper, romper_suit",
"rood_screen",
"roof",
"roof",
"roofing",
"room",
"roomette",
"room_light",
"roost",
"rope",
"rope_bridge",
"rope_tow",
"rose_water",
"rose_window, rosette",
"rosin_bag",
"rotary_actuator, positioner",
"rotary_engine",
"rotary_press",
"rotating_mechanism",
"rotating_shaft, shaft",
"rotisserie",
"rotisserie",
"rotor",
"rotor, rotor_coil",
"rotor",
"rotor_blade, rotary_wing",
"rotor_head, rotor_shaft",
"rotunda",
"rotunda",
"rouge, paint, blusher",
"roughcast",
"rouleau",
"roulette, toothed_wheel",
"roulette_ball",
"roulette_wheel, wheel",
"round, unit_of_ammunition, one_shot",
"round_arch",
"round-bottom_flask",
"roundel",
"round_file",
"roundhouse",
"router",
"router",
"router_plane",
"rowel",
"row_house, town_house",
"rowing_boat",
"rowlock_arch",
"royal",
"royal_mast",
"rubber_band, elastic_band, elastic",
"rubber_boot, gum_boot",
"rubber_bullet",
"rubber_eraser, rubber, pencil_eraser",
"rudder",
"rudder",
"rudder_blade",
"rug, carpet, carpeting",
"rugby_ball",
"ruin",
"rule, ruler",
"rumble",
"rumble_seat",
"rummer",
"rumpus_room, playroom, game_room",
"runcible_spoon",
"rundle, spoke, rung",
"running_shoe",
"running_suit",
"runway",
"rushlight, rush_candle",
"russet",
"rya, rya_rug",
"saber, sabre",
"saber_saw, jigsaw, reciprocating_saw",
"sable",
"sable, sable_brush, sable's_hair_pencil",
"sable_coat",
"sabot, wooden_shoe",
"sachet",
"sack, poke, paper_bag, carrier_bag",
"sack, sacque",
"sackbut",
"sackcloth",
"sackcloth",
"sack_coat",
"sacking, bagging",
"saddle",
"saddlebag",
"saddle_blanket, saddlecloth, horse_blanket",
"saddle_oxford, saddle_shoe",
"saddlery",
"saddle_seat",
"saddle_stitch",
"safe",
"safe",
"safe-deposit, safe-deposit_box, safety-deposit, safety_deposit_box, deposit_box, lockbox",
"safe_house",
"safety_arch",
"safety_belt, life_belt, safety_harness",
"safety_bicycle, safety_bike",
"safety_bolt, safety_lock",
"safety_curtain",
"safety_fuse",
"safety_lamp, davy_lamp",
"safety_match, book_matches",
"safety_net",
"safety_pin",
"safety_rail, guardrail",
"safety_razor",
"safety_valve, relief_valve, escape_valve, escape_cock, escape",
"sail, canvas, canvass, sheet",
"sail",
"sailboat, sailing_boat",
"sailcloth",
"sailing_vessel, sailing_ship",
"sailing_warship",
"sailor_cap",
"sailor_suit",
"salad_bar",
"salad_bowl",
"salinometer",
"sallet, salade",
"salon",
"salon",
"salon, beauty_salon, beauty_parlor, beauty_parlour, beauty_shop",
"saltbox",
"saltcellar",
"saltshaker, salt_shaker",
"saltworks",
"salver",
"salwar, shalwar",
"sam_browne_belt",
"samisen, shamisen",
"samite",
"samovar",
"sampan",
"sandal",
"sandbag",
"sandblaster",
"sandbox",
"sandglass",
"sand_wedge",
"sandwich_board",
"sanitary_napkin, sanitary_towel, kotex",
"cling_film, clingfilm, saran_wrap",
"sarcenet, sarsenet",
"sarcophagus",
"sari, saree",
"sarong",
"sash, window_sash",
"sash_fastener, sash_lock, window_lock",
"sash_window",
"satchel",
"sateen",
"satellite, artificial_satellite, orbiter",
"satellite_receiver",
"satellite_television, satellite_tv",
"satellite_transmitter",
"satin",
"saturday_night_special",
"saucepan",
"saucepot",
"sauna, sweat_room",
"savings_bank, coin_bank, money_box, bank",
"saw",
"sawed-off_shotgun",
"sawhorse, horse, sawbuck, buck",
"sawmill",
"saw_set",
"sax, saxophone",
"saxhorn",
"scabbard",
"scaffolding, staging",
"scale",
"scale, weighing_machine",
"scaler",
"scaling_ladder",
"scalpel",
"scanner, electronic_scanner",
"scanner",
"scanner, digital_scanner, image_scanner",
"scantling, stud",
"scarf",
"scarf_joint, scarf",
"scatter_rug, throw_rug",
"scauper, scorper",
"schmidt_telescope, schmidt_camera",
"school, schoolhouse",
"schoolbag",
"school_bell",
"school_bus",
"school_ship, training_ship",
"school_system",
"schooner",
"schooner",
"scientific_instrument",
"scimitar",
"scintillation_counter",
"scissors, pair_of_scissors",
"sclerometer",
"scoinson_arch, sconcheon_arch",
"sconce",
"sconce",
"scoop",
"scooter",
"scoreboard",
"scouring_pad",
"scow",
"scow",
"scraper",
"scratcher",
"screen",
"screen, cover, covert, concealment",
"screen",
"screen, crt_screen",
"screen_door, screen",
"screening",
"screw",
"screw, screw_propeller",
"screw",
"screwdriver",
"screw_eye",
"screw_key",
"screw_thread, thread",
"screwtop",
"screw_wrench",
"scriber, scribe, scratch_awl",
"scrim",
"scrimshaw",
"scriptorium",
"scrubber",
"scrub_brush, scrubbing_brush, scrubber",
"scrub_plane",
"scuffer",
"scuffle, scuffle_hoe, dutch_hoe",
"scull",
"scull",
"scullery",
"sculpture",
"scuttle, coal_scuttle",
"scyphus",
"scythe",
"seabag",
"sea_boat",
"sea_chest",
"sealing_wax, seal",
"sealskin",
"seam",
"seaplane, hydroplane",
"searchlight",
"searing_iron",
"seat",
"seat",
"seat",
"seat_belt, seatbelt",
"secateurs",
"secondary_coil, secondary_winding, secondary",
"second_balcony, family_circle, upper_balcony, peanut_gallery",
"second_base",
"second_hand",
"secretary, writing_table, escritoire, secretaire",
"sectional",
"security_blanket",
"security_system, security_measure, security",
"security_system",
"sedan, saloon",
"sedan, sedan_chair",
"seeder",
"seeker",
"seersucker",
"segmental_arch",
"segway, segway_human_transporter, segway_ht",
"seidel",
"seine",
"seismograph",
"selector, selector_switch",
"selenium_cell",
"self-propelled_vehicle",
"self-registering_thermometer",
"self-starter",
"selsyn, synchro",
"selvage, selvedge",
"semaphore",
"semiautomatic_firearm",
"semiautomatic_pistol, semiautomatic",
"semiconductor_device, semiconductor_unit, semiconductor",
"semi-detached_house",
"semigloss",
"semitrailer, semi",
"sennit",
"sensitometer",
"sentry_box",
"separate",
"septic_tank",
"sequence, episode",
"sequencer, sequenator",
"serape, sarape",
"serge",
"serger",
"serial_port",
"serpent",
"serration",
"server",
"server, host",
"service_club",
"serving_cart",
"serving_dish",
"servo, servomechanism, servosystem",
"set",
"set_gun, spring_gun",
"setscrew",
"setscrew",
"set_square",
"settee",
"settle, settee",
"settlement_house",
"seventy-eight, 78",
"seven_wonders_of_the_ancient_world, seven_wonders_of_the_world",
"sewage_disposal_plant, disposal_plant",
"sewer, sewerage, cloaca",
"sewing_basket",
"sewing_kit",
"sewing_machine",
"sewing_needle",
"sewing_room",
"sextant",
"sgraffito",
"shackle, bond, hamper, trammel",
"shackle",
"shade",
"shadow_box",
"shaft",
"shag_rug",
"shaker",
"shank",
"shank, stem",
"shantung",
"shaper, shaping_machine",
"shaping_tool",
"sharkskin",
"sharpener",
"sharpie",
"shaver, electric_shaver, electric_razor",
"shaving_brush",
"shaving_cream, shaving_soap",
"shaving_foam",
"shawl",
"shawm",
"shears",
"sheath",
"sheathing, overlay, overlayer",
"shed",
"sheep_bell",
"sheepshank",
"sheepskin_coat, afghan",
"sheepwalk, sheeprun",
"sheet, bed_sheet",
"sheet_bend, becket_bend, weaver's_knot, weaver's_hitch",
"sheeting",
"sheet_pile, sheath_pile, sheet_piling",
"sheetrock",
"shelf",
"shelf_bracket",
"shell",
"shell, case, casing",
"shell, racing_shell",
"shellac, shellac_varnish",
"shelter",
"shelter",
"shelter",
"sheltered_workshop",
"sheraton",
"shield, buckler",
"shield",
"shielding",
"shift_key, shift",
"shillelagh, shillalah",
"shim",
"shingle",
"shin_guard, shinpad",
"ship",
"shipboard_system",
"shipping, cargo_ships, merchant_marine, merchant_vessels",
"shipping_room",
"ship-towed_long-range_acoustic_detection_system",
"shipwreck",
"shirt",
"shirt_button",
"shirtdress",
"shirtfront",
"shirting",
"shirtsleeve",
"shirttail",
"shirtwaist, shirtwaister",
"shiv",
"shock_absorber, shock, cushion",
"shoe",
"shoe",
"shoebox",
"shoehorn",
"shoe_shop, shoe-shop, shoe_store",
"shoetree",
"shofar, shophar",
"shoji",
"shooting_brake",
"shooting_lodge, shooting_box",
"shooting_stick",
"shop, store",
"shop_bell",
"shopping_bag",
"shopping_basket",
"shopping_cart",
"short_circuit, short",
"short_iron",
"short_pants, shorts, trunks",
"short_sleeve",
"shortwave_diathermy_machine",
"shot",
"shot_glass, jigger, pony",
"shotgun, scattergun",
"shotgun_shell",
"shot_tower",
"shoulder",
"shoulder_bag",
"shouldered_arch",
"shoulder_holster",
"shoulder_pad",
"shoulder_patch",
"shovel",
"shovel",
"shovel_hat",
"showboat",
"shower",
"shower_cap",
"shower_curtain",
"shower_room",
"shower_stall, shower_bath",
"showroom, salesroom, saleroom",
"shrapnel",
"shredder",
"shrimper",
"shrine",
"shrink-wrap",
"shunt",
"shunt, electrical_shunt, bypass",
"shunter",
"shutter",
"shutter",
"shuttle",
"shuttle",
"shuttle_bus",
"shuttlecock, bird, birdie, shuttle",
"shuttle_helicopter",
"sibley_tent",
"sickbay, sick_berth",
"sickbed",
"sickle, reaping_hook, reap_hook",
"sickroom",
"sideboard",
"sidecar",
"side_chapel",
"sidelight, running_light",
"sidesaddle",
"sidewalk, pavement",
"sidewall",
"side-wheeler",
"sidewinder",
"sieve, screen",
"sifter",
"sights",
"sigmoidoscope, flexible_sigmoidoscope",
"signal_box, signal_tower",
"signaling_device",
"signboard, sign",
"silencer, muffler",
"silent_butler",
"silex",
"silk",
"silks",
"silo",
"silver_plate",
"silverpoint",
"simple_pendulum",
"simulator",
"single_bed",
"single-breasted_jacket",
"single-breasted_suit",
"single_prop, single-propeller_plane",
"single-reed_instrument, single-reed_woodwind",
"single-rotor_helicopter",
"singlestick, fencing_stick, backsword",
"singlet, vest, undershirt",
"siren",
"sister_ship",
"sitar",
"sitz_bath, hip_bath",
"six-pack, six_pack, sixpack",
"skate",
"skateboard",
"skeg",
"skein",
"skeleton, skeletal_frame, frame, underframe",
"skeleton_key",
"skep",
"skep",
"sketch, study",
"sketcher",
"skew_arch",
"skewer",
"ski",
"ski_binding, binding",
"skibob",
"ski_boot",
"ski_cap, stocking_cap, toboggan_cap",
"skidder",
"skid_lid",
"skiff",
"ski_jump",
"ski_lodge",
"ski_mask",
"skimmer",
"ski_parka, ski_jacket",
"ski-plane",
"ski_pole",
"ski_rack",
"skirt",
"skirt",
"ski_tow, ski_lift, lift",
"skivvies",
"skullcap",
"skybox",
"skyhook",
"skylight, fanlight",
"skysail",
"skyscraper",
"skywalk",
"slacks",
"slack_suit",
"slasher",
"slash_pocket",
"slat, spline",
"slate",
"slate_pencil",
"slate_roof",
"sled, sledge, sleigh",
"sleeper",
"sleeper",
"sleeping_bag",
"sleeping_car, sleeper, wagon-lit",
"sleeve, arm",
"sleeve",
"sleigh_bed",
"sleigh_bell, cascabel",
"slice_bar",
"slicer",
"slicer",
"slide, playground_slide, sliding_board",
"slide_fastener, zip, zipper, zip_fastener",
"slide_projector",
"slide_rule, slipstick",
"slide_valve",
"sliding_door",
"sliding_seat",
"sliding_window",
"sling, scarf_bandage, triangular_bandage",
"sling",
"slingback, sling",
"slinger_ring",
"slip_clutch, slip_friction_clutch",
"slipcover",
"slip-joint_pliers",
"slipknot",
"slip-on",
"slipper, carpet_slipper",
"slip_ring",
"slit_lamp",
"slit_trench",
"sloop",
"sloop_of_war",
"slop_basin, slop_bowl",
"slop_pail, slop_jar",
"slops",
"slopshop, slopseller's_shop",
"slot, one-armed_bandit",
"slot_machine, coin_machine",
"sluice, sluiceway, penstock",
"smack",
"small_boat",
"small_computer_system_interface, scsi",
"small_ship",
"small_stores",
"smart_bomb",
"smelling_bottle",
"smocking",
"smoke_bomb, smoke_grenade",
"smokehouse, meat_house",
"smoker, smoking_car, smoking_carriage, smoking_compartment",
"smoke_screen, smokescreen",
"smoking_room",
"smoothbore",
"smooth_plane, smoothing_plane",
"snack_bar, snack_counter, buffet",
"snaffle, snaffle_bit",
"snap, snap_fastener, press_stud",
"snap_brim",
"snap-brim_hat",
"snare, gin, noose",
"snare_drum, snare, side_drum",
"snatch_block",
"snifter, brandy_snifter, brandy_glass",
"sniper_rifle, precision_rifle",
"snips, tinsnips",
"sno-cat",
"snood",
"snorkel, schnorkel, schnorchel, snorkel_breather, breather",
"snorkel",
"snowbank, snow_bank",
"snowboard",
"snowmobile",
"snowplow, snowplough",
"snowshoe",
"snowsuit",
"snow_thrower, snow_blower",
"snuffbox",
"snuffer",
"snuffers",
"soapbox",
"soap_dish",
"soap_dispenser",
"soap_pad",
"soccer_ball",
"sock",
"socket",
"socket_wrench",
"socle",
"soda_can",
"soda_fountain",
"soda_fountain",
"sod_house, soddy, adobe_house",
"sodium-vapor_lamp, sodium-vapour_lamp",
"sofa, couch, lounge",
"soffit",
"softball, playground_ball",
"soft_pedal",
"soil_pipe",
"solar_array, solar_battery, solar_panel",
"solar_cell, photovoltaic_cell",
"solar_dish, solar_collector, solar_furnace",
"solar_heater",
"solar_house",
"solar_telescope",
"solar_thermal_system",
"soldering_iron",
"solenoid",
"solleret, sabaton",
"sombrero",
"sonic_depth_finder, fathometer",
"sonogram, echogram",
"sonograph",
"sorter",
"souk",
"sound_bow",
"soundbox, body",
"sound_camera",
"sounder",
"sound_film",
"sounding_board, soundboard",
"sounding_rocket",
"sound_recording, audio_recording, audio",
"sound_spectrograph",
"soup_bowl",
"soup_ladle",
"soupspoon, soup_spoon",
"source_of_illumination",
"sourdine",
"soutache",
"soutane",
"sou'wester",
"soybean_future",
"space_bar",
"space_capsule, capsule",
"spacecraft, ballistic_capsule, space_vehicle",
"space_heater",
"space_helmet",
"space_rocket",
"space_shuttle",
"space_station, space_platform, space_laboratory",
"spacesuit",
"spade",
"spade_bit",
"spaghetti_junction",
"spandau",
"spandex",
"spandrel, spandril",
"spanker",
"spar",
"sparge_pipe",
"spark_arrester, sparker",
"spark_arrester",
"spark_chamber, spark_counter",
"spark_coil",
"spark_gap",
"spark_lever",
"spark_plug, sparking_plug, plug",
"sparkplug_wrench",
"spark_transmitter",
"spat, gaiter",
"spatula",
"spatula",
"speakerphone",
"speaking_trumpet",
"spear, lance, shaft",
"spear, gig, fizgig, fishgig, lance",
"specialty_store",
"specimen_bottle",
"spectacle",
"spectacles, specs, eyeglasses, glasses",
"spectator_pump, spectator",
"spectrograph",
"spectrophotometer",
"spectroscope, prism_spectroscope",
"speculum",
"speedboat",
"speed_bump",
"speedometer, speed_indicator",
"speed_skate, racing_skate",
"spherometer",
"sphygmomanometer",
"spicemill",
"spice_rack",
"spider",
"spider_web, spider's_web",
"spike",
"spike",
"spindle",
"spindle, mandrel, mandril, arbor",
"spindle",
"spin_dryer, spin_drier",
"spinet",
"spinet",
"spinnaker",
"spinner",
"spinning_frame",
"spinning_jenny",
"spinning_machine",
"spinning_rod",
"spinning_wheel",
"spiral_bandage",
"spiral_ratchet_screwdriver, ratchet_screwdriver",
"spiral_spring",
"spirit_lamp",
"spirit_stove",
"spirometer",
"spit",
"spittoon, cuspidor",
"splashboard, splasher, dashboard",
"splasher",
"splice, splicing",
"splicer",
"splint",
"split_rail, fence_rail",
"spode",
"spoiler",
"spoiler",
"spoke, wheel_spoke, radius",
"spokeshave",
"sponge_cloth",
"sponge_mop",
"spoon",
"spoon",
"spork",
"sporran",
"sport_kite, stunt_kite",
"sports_car, sport_car",
"sports_equipment",
"sports_implement",
"sportswear, athletic_wear, activewear",
"sport_utility, sport_utility_vehicle, s.u.v., suv",
"spot",
"spotlight, spot",
"spot_weld, spot-weld",
"spouter",
"sprag",
"spray_gun",
"spray_paint",
"spreader",
"sprig",
"spring",
"spring_balance, spring_scale",
"springboard",
"sprinkler",
"sprinkler_system",
"sprit",
"spritsail",
"sprocket, sprocket_wheel",
"sprocket",
"spun_yarn",
"spur, gad",
"spur_gear, spur_wheel",
"sputnik",
"spy_satellite",
"squad_room",
"square",
"square_knot",
"square-rigger",
"square_sail",
"squash_ball",
"squash_racket, squash_racquet, bat",
"squawk_box, squawker, intercom_speaker",
"squeegee",
"squeezer",
"squelch_circuit, squelch, squelcher",
"squinch",
"stabilizer, stabiliser",
"stabilizer",
"stabilizer_bar, anti-sway_bar",
"stable, stalls, horse_barn",
"stable_gear, saddlery, tack",
"stabling",
"stacks",
"staddle",
"stadium, bowl, arena, sports_stadium",
"stage",
"stagecoach, stage",
"stained-glass_window",
"stair-carpet",
"stair-rod",
"stairwell",
"stake",
"stall, stand, sales_booth",
"stall",
"stamp",
"stamp_mill, stamping_mill",
"stamping_machine, stamper",
"stanchion",
"stand",
"standard",
"standard_cell",
"standard_transmission, stick_shift",
"standing_press",
"stanhope",
"stanley_steamer",
"staple",
"staple",
"staple_gun, staplegun, tacker",
"stapler, stapling_machine",
"starship, spaceship",
"starter, starter_motor, starting_motor",
"starting_gate, starting_stall",
"stassano_furnace, electric-arc_furnace",
"statehouse",
"stately_home",
"state_prison",
"stateroom",
"static_tube",
"station",
"stator, stator_coil",
"statue",
"stay",
"staysail",
"steakhouse, chophouse",
"steak_knife",
"stealth_aircraft",
"stealth_bomber",
"stealth_fighter",
"steam_bath, steam_room, vapor_bath, vapour_bath",
"steamboat",
"steam_chest",
"steam_engine",
"steamer, steamship",
"steamer",
"steam_iron",
"steam_locomotive",
"steamroller, road_roller",
"steam_shovel",
"steam_turbine",
"steam_whistle",
"steel",
"steel_arch_bridge",
"steel_drum",
"steel_mill, steelworks, steel_plant, steel_factory",
"steel-wool_pad",
"steelyard, lever_scale, beam_scale",
"steeple, spire",
"steerage",
"steering_gear",
"steering_linkage",
"steering_system, steering_mechanism",
"steering_wheel, wheel",
"stele, stela",
"stem-winder",
"stencil",
"sten_gun",
"stenograph",
"step, stair",
"step-down_transformer",
"step_stool",
"step-up_transformer",
"stereo, stereophony, stereo_system, stereophonic_system",
"stereoscope",
"stern_chaser",
"sternpost",
"sternwheeler",
"stethoscope",
"stewing_pan, stewpan",
"stick",
"stick",
"stick, control_stick, joystick",
"stick",
"stile",
"stiletto",
"still",
"stillroom, still_room",
"stillson_wrench",
"stilt",
"stinger",
"stink_bomb, stench_bomb",
"stirrer",
"stirrup, stirrup_iron",
"stirrup_pump",
"stob",
"stock, gunstock",
"stockade",
"stockcar",
"stock_car",
"stockinet, stockinette",
"stocking",
"stock-in-trade",
"stockpot",
"stockroom, stock_room",
"stocks",
"stock_saddle, western_saddle",
"stockyard",
"stole",
"stomacher",
"stomach_pump",
"stone_wall",
"stoneware",
"stonework",
"stool",
"stoop, stoep",
"stop_bath, short-stop, short-stop_bath",
"stopcock, cock, turncock",
"stopper_knot",
"stopwatch, stop_watch",
"storage_battery, accumulator",
"storage_cell, secondary_cell",
"storage_ring",
"storage_space",
"storeroom, storage_room, stowage",
"storm_cellar, cyclone_cellar, tornado_cellar",
"storm_door",
"storm_window, storm_sash",
"stoup, stoop",
"stoup",
"stove",
"stove, kitchen_stove, range, kitchen_range, cooking_stove",
"stove_bolt",
"stovepipe",
"stovepipe_iron",
"stradavarius, strad",
"straight_chair, side_chair",
"straightedge",
"straightener",
"straight_flute, straight-fluted_drill",
"straight_pin",
"straight_razor",
"strainer",
"straitjacket, straightjacket",
"strap",
"strap",
"strap_hinge, joint_hinge",
"strapless",
"streamer_fly",
"streamliner",
"street",
"street",
"streetcar, tram, tramcar, trolley, trolley_car",
"street_clothes",
"streetlight, street_lamp",
"stretcher",
"stretcher",
"stretch_pants",
"strickle",
"strickle",
"stringed_instrument",
"stringer",
"stringer",
"string_tie",
"strip",
"strip_lighting",
"strip_mall",
"stroboscope, strobe, strobe_light",
"strongbox, deedbox",
"stronghold, fastness",
"strongroom",
"strop",
"structural_member",
"structure, construction",
"student_center",
"student_lamp",
"student_union",
"stud_finder",
"studio_apartment, studio",
"studio_couch, day_bed",
"study",
"study_hall",
"stuffing_nut, packing_nut",
"stump",
"stun_gun, stun_baton",
"stupa, tope",
"sty, pigsty, pigpen",
"stylus, style",
"stylus",
"sub-assembly",
"subcompact, subcompact_car",
"submachine_gun",
"submarine, pigboat, sub, u-boat",
"submarine_torpedo",
"submersible, submersible_warship",
"submersible",
"subtracter",
"subway_token",
"subway_train",
"subwoofer",
"suction_cup",
"suction_pump",
"sudatorium, sudatory",
"suede_cloth, suede",
"sugar_bowl",
"sugar_refinery",
"sugar_spoon, sugar_shell",
"suit, suit_of_clothes",
"suite, rooms",
"suiting",
"sulky",
"summer_house",
"sumo_ring",
"sump",
"sump_pump",
"sunbonnet",
"sunday_best, sunday_clothes",
"sun_deck",
"sundial",
"sundress",
"sundries",
"sun_gear",
"sunglass",
"sunglasses, dark_glasses, shades",
"sunhat, sun_hat",
"sunlamp, sun_lamp, sunray_lamp, sun-ray_lamp",
"sun_parlor, sun_parlour, sun_porch, sunporch, sunroom, sun_lounge, solarium",
"sunroof, sunshine-roof",
"sunscreen, sunblock, sun_blocker",
"sunsuit",
"supercharger",
"supercomputer",
"superconducting_supercollider",
"superhighway, information_superhighway",
"supermarket",
"superstructure",
"supertanker",
"supper_club",
"supplejack",
"supply_chamber",
"supply_closet",
"support",
"support",
"support_column",
"support_hose, support_stocking",
"supporting_structure",
"supporting_tower",
"surcoat",
"surface_gauge, surface_gage, scribing_block",
"surface_lift",
"surface_search_radar",
"surface_ship",
"surface-to-air_missile, sam",
"surface-to-air_missile_system",
"surfboat",
"surcoat",
"surgeon's_knot",
"surgery",
"surge_suppressor, surge_protector, spike_suppressor, spike_arrester, lightning_arrester",
"surgical_dressing",
"surgical_instrument",
"surgical_knife",
"surplice",
"surrey",
"surtout",
"surveillance_system",
"surveying_instrument, surveyor's_instrument",
"surveyor's_level",
"sushi_bar",
"suspension, suspension_system",
"suspension_bridge",
"suspensory, suspensory_bandage",
"sustaining_pedal, loud_pedal",
"suture, surgical_seam",
"swab, swob, mop",
"swab",
"swaddling_clothes, swaddling_bands",
"swag",
"swage_block",
"swagger_stick",
"swallow-tailed_coat, swallowtail, morning_coat",
"swamp_buggy, marsh_buggy",
"swan's_down",
"swathe, wrapping",
"swatter, flyswatter, flyswat",
"sweat_bag",
"sweatband",
"sweater, jumper",
"sweat_pants, sweatpants",
"sweatshirt",
"sweatshop",
"sweat_suit, sweatsuit, sweats, workout_suit",
"sweep, sweep_oar",
"sweep_hand, sweep-second",
"swimming_trunks, bathing_trunks",
"swimsuit, swimwear, bathing_suit, swimming_costume, bathing_costume",
"swing",
"swing_door, swinging_door",
"switch, electric_switch, electrical_switch",
"switchblade, switchblade_knife, flick-knife, flick_knife",
"switch_engine, donkey_engine",
"swivel",
"swivel_chair",
"swizzle_stick",
"sword, blade, brand, steel",
"sword_cane, sword_stick",
"s_wrench",
"synagogue, temple, tabernacle",
"synchrocyclotron",
"synchroflash",
"synchromesh",
"synchronous_converter, rotary, rotary_converter",
"synchronous_motor",
"synchrotron",
"synchroscope, synchronoscope, synchronizer, synchroniser",
"synthesizer, synthesiser",
"syringe",
"system",
"tabard",
"tabernacle",
"tabi, tabis",
"tab_key, tab",
"table",
"table",
"tablefork",
"table_knife",
"table_lamp",
"table_saw",
"tablespoon",
"tablet-armed_chair",
"table-tennis_table, ping-pong_table, pingpong_table",
"table-tennis_racquet, table-tennis_bat, pingpong_paddle",
"tabletop",
"tableware",
"tabor, tabour",
"taboret, tabouret",
"tachistoscope, t-scope",
"tachograph",
"tachometer, tach",
"tachymeter, tacheometer",
"tack",
"tack_hammer",
"taffeta",
"taffrail",
"tailgate, tailboard",
"taillight, tail_lamp, rear_light, rear_lamp",
"tailor-made",
"tailor's_chalk",
"tailpipe",
"tail_rotor, anti-torque_rotor",
"tailstock",
"take-up",
"talaria",
"talcum, talcum_powder",
"tam, tam-o'-shanter, tammy",
"tambour",
"tambour, embroidery_frame, embroidery_hoop",
"tambourine",
"tammy",
"tamp, tamper, tamping_bar",
"tampax",
"tampion, tompion",
"tampon",
"tandoor",
"tangram",
"tank, storage_tank",
"tank, army_tank, armored_combat_vehicle, armoured_combat_vehicle",
"tankard",
"tank_car, tank",
"tank_destroyer",
"tank_engine, tank_locomotive",
"tanker_plane",
"tank_shell",
"tank_top",
"tannoy",
"tap, spigot",
"tapa, tappa",
"tape, tape_recording, taping",
"tape, tapeline, tape_measure",
"tape_deck",
"tape_drive, tape_transport, transport",
"tape_player",
"tape_recorder, tape_machine",
"taper_file",
"tapestry, tapis",
"tappet",
"tap_wrench",
"tare",
"target, butt",
"target_acquisition_system",
"tarmacadam, tarmac, macadam",
"tarpaulin, tarp",
"tartan, plaid",
"tasset, tasse",
"tattoo",
"tavern, tap_house",
"tawse",
"taximeter",
"t-bar_lift, t-bar, alpine_lift",
"tea_bag",
"tea_ball",
"tea_cart, teacart, tea_trolley, tea_wagon",
"tea_chest",
"teaching_aid",
"teacup",
"tea_gown",
"teakettle",
"tea_maker",
"teapot",
"teashop, teahouse, tearoom, tea_parlor, tea_parlour",
"teaspoon",
"tea-strainer",
"tea_table",
"tea_tray",
"tea_urn",
"tee, golf_tee",
"tee_hinge, t_hinge",
"telecom_hotel, telco_building",
"telecommunication_system, telecom_system, telecommunication_equipment, telecom_equipment",
"telegraph, telegraphy",
"telegraph_key",
"telemeter",
"telephone, phone, telephone_set",
"telephone_bell",
"telephone_booth, phone_booth, call_box, telephone_box, telephone_kiosk",
"telephone_cord, phone_cord",
"telephone_jack, phone_jack",
"telephone_line, phone_line, telephone_circuit, subscriber_line, line",
"telephone_plug, phone_plug",
"telephone_pole, telegraph_pole, telegraph_post",
"telephone_receiver, receiver",
"telephone_system, phone_system",
"telephone_wire, telephone_line, telegraph_wire, telegraph_line",
"telephoto_lens, zoom_lens",
"teleprompter",
"telescope, scope",
"telescopic_sight, telescope_sight",
"telethermometer",
"teletypewriter, teleprinter, teletype_machine, telex, telex_machine",
"television, television_system",
"television_antenna, tv-antenna",
"television_camera, tv_camera, camera",
"television_equipment, video_equipment",
"television_monitor, tv_monitor",
"television_receiver, television, television_set, tv, tv_set, idiot_box, boob_tube, telly, goggle_box",
"television_room, tv_room",
"television_transmitter",
"telpher, telfer",
"telpherage, telferage",
"tempera, poster_paint, poster_color, poster_colour",
"temple",
"temple",
"temporary_hookup, patch",
"tender, supply_ship",
"tender, ship's_boat, pinnace, cutter",
"tender",
"tenement, tenement_house",
"tennis_ball",
"tennis_camp",
"tennis_racket, tennis_racquet",
"tenon",
"tenor_drum, tom-tom",
"tenoroon",
"tenpenny_nail",
"tenpin",
"tensimeter",
"tensiometer",
"tensiometer",
"tensiometer",
"tent, collapsible_shelter",
"tenter",
"tenterhook",
"tent-fly, rainfly, fly_sheet, fly, tent_flap",
"tent_peg",
"tepee, tipi, teepee",
"terminal, pole",
"terminal",
"terraced_house",
"terra_cotta",
"terrarium",
"terra_sigillata, samian_ware",
"terry, terry_cloth, terrycloth",
"tesla_coil",
"tessera",
"test_equipment",
"test_rocket, research_rocket, test_instrument_vehicle",
"test_room, testing_room",
"testudo",
"tetraskelion, tetraskele",
"tetrode",
"textile_machine",
"textile_mill",
"thatch, thatched_roof",
"theater, theatre, house",
"theater_curtain, theatre_curtain",
"theater_light",
"theodolite, transit",
"theremin",
"thermal_printer",
"thermal_reactor",
"thermocouple, thermocouple_junction",
"thermoelectric_thermometer, thermel, electric_thermometer",
"thermograph, thermometrograph",
"thermograph",
"thermohydrometer, thermogravimeter",
"thermojunction",
"thermometer",
"thermonuclear_reactor, fusion_reactor",
"thermopile",
"thermos, thermos_bottle, thermos_flask",
"thermostat, thermoregulator",
"thigh_pad",
"thill",
"thimble",
"thinning_shears",
"third_base, third",
"third_gear, third",
"third_rail",
"thong",
"thong",
"three-centered_arch, basket-handle_arch",
"three-decker",
"three-dimensional_radar, 3d_radar",
"three-piece_suit",
"three-quarter_binding",
"three-way_switch, three-point_switch",
"thresher, thrasher, threshing_machine",
"threshing_floor",
"thriftshop, second-hand_store",
"throat_protector",
"throne",
"thrust_bearing",
"thruster",
"thumb",
"thumbhole",
"thumbscrew",
"thumbstall",
"thumbtack, drawing_pin, pushpin",
"thunderer",
"thwart, cross_thwart",
"tiara",
"ticking",
"tickler_coil",
"tie, tie_beam",
"tie, railroad_tie, crosstie, sleeper",
"tie_rack",
"tie_rod",
"tights, leotards",
"tile",
"tile_cutter",
"tile_roof",
"tiller",
"tilter",
"tilt-top_table, tip-top_table, tip_table",
"timber",
"timber",
"timber_hitch",
"timbrel",
"time_bomb, infernal_machine",
"time_capsule",
"time_clock",
"time-delay_measuring_instrument, time-delay_measuring_system",
"time-fuse",
"timepiece, timekeeper, horologe",
"timer",
"timer",
"time-switch",
"tin",
"tinderbox",
"tine",
"tinfoil, tin_foil",
"tippet",
"tire_chain, snow_chain",
"tire_iron, tire_tool",
"titfer",
"tithe_barn",
"titrator",
"toaster",
"toaster_oven",
"toasting_fork",
"toastrack",
"tobacco_pouch",
"tobacco_shop, tobacconist_shop, tobacconist",
"toboggan",
"toby, toby_jug, toby_fillpot_jug",
"tocsin, warning_bell",
"toe",
"toecap",
"toehold",
"toga",
"toga_virilis",
"toggle",
"toggle_bolt",
"toggle_joint",
"toggle_switch, toggle, on-off_switch, on/off_switch",
"togs, threads, duds",
"toilet, lavatory, lav, can, john, privy, bathroom",
"toilet_bag, sponge_bag",
"toilet_bowl",
"toilet_kit, travel_kit",
"toilet_powder, bath_powder, dusting_powder",
"toiletry, toilet_articles",
"toilet_seat",
"toilet_water, eau_de_toilette",
"tokamak",
"token",
"tollbooth, tolbooth, tollhouse",
"toll_bridge",
"tollgate, tollbar",
"toll_line",
"tomahawk, hatchet",
"tommy_gun, thompson_submachine_gun",
"tomograph",
"tone_arm, pickup, pickup_arm",
"toner",
"tongs, pair_of_tongs",
"tongue",
"tongue_and_groove_joint",
"tongue_depressor",
"tonometer",
"tool",
"tool_bag",
"toolbox, tool_chest, tool_cabinet, tool_case",
"toolshed, toolhouse",
"tooth",
"tooth",
"toothbrush",
"toothpick",
"top",
"top, cover",
"topgallant, topgallant_mast",
"topgallant, topgallant_sail",
"topiary",
"topknot",
"topmast",
"topper",
"topsail",
"toque",
"torch",
"torpedo",
"torpedo",
"torpedo",
"torpedo_boat",
"torpedo-boat_destroyer",
"torpedo_tube",
"torque_converter",
"torque_wrench",
"torture_chamber",
"totem_pole",
"touch_screen, touchscreen",
"toupee, toupe",
"touring_car, phaeton, tourer",
"tourist_class, third_class",
"towel",
"toweling, towelling",
"towel_rack, towel_horse",
"towel_rail, towel_bar",
"tower",
"town_hall",
"towpath, towing_path",
"tow_truck, tow_car, wrecker",
"toy",
"toy_box, toy_chest",
"toyshop",
"trace_detector",
"track, rail, rails, runway",
"track",
"trackball",
"tracked_vehicle",
"tract_house",
"tract_housing",
"traction_engine",
"tractor",
"tractor",
"trail_bike, dirt_bike, scrambler",
"trailer, house_trailer",
"trailer",
"trailer_camp, trailer_park",
"trailer_truck, tractor_trailer, trucking_rig, rig, articulated_lorry, semi",
"trailing_edge",
"train, railroad_train",
"tramline, tramway, streetcar_track",
"trammel",
"trampoline",
"tramp_steamer, tramp",
"tramway, tram, aerial_tramway, cable_tramway, ropeway",
"transdermal_patch, skin_patch",
"transept",
"transformer",
"transistor, junction_transistor, electronic_transistor",
"transit_instrument",
"transmission, transmission_system",
"transmission_shaft",
"transmitter, sender",
"transom, traverse",
"transom, transom_window, fanlight",
"transponder",
"transporter",
"transporter, car_transporter",
"transport_ship",
"trap",
"trap_door",
"trapeze",
"trave, traverse, crossbeam, crosspiece",
"travel_iron",
"trawl, dragnet, trawl_net",
"trawl, trawl_line, spiller, setline, trotline",
"trawler, dragger",
"tray",
"tray_cloth",
"tread",
"tread",
"treadmill, treadwheel, tread-wheel",
"treadmill",
"treasure_chest",
"treasure_ship",
"treenail, trenail, trunnel",
"trefoil_arch",
"trellis, treillage",
"trench",
"trench_coat",
"trench_knife",
"trepan",
"trepan, trephine",
"trestle",
"trestle",
"trestle_bridge",
"trestle_table",
"trestlework",
"trews",
"trial_balloon",
"triangle",
"triangle",
"triclinium",
"triclinium",
"tricorn, tricorne",
"tricot",
"tricycle, trike, velocipede",
"trident",
"trigger",
"trimaran",
"trimmer",
"trimmer_arch",
"triode",
"tripod",
"triptych",
"trip_wire",
"trireme",
"triskelion, triskele",
"triumphal_arch",
"trivet",
"trivet",
"troika",
"troll",
"trolleybus, trolley_coach, trackless_trolley",
"trombone",
"troop_carrier, troop_transport",
"troopship",
"trophy_case",
"trough",
"trouser",
"trouser_cuff",
"trouser_press, pants_presser",
"trouser, pant",
"trousseau",
"trowel",
"truck, motortruck",
"trumpet_arch",
"truncheon, nightstick, baton, billy, billystick, billy_club",
"trundle_bed, trundle, truckle_bed, truckle",
"trunk",
"trunk_hose",
"trunk_lid",
"trunk_line",
"truss",
"truss_bridge",
"try_square",
"t-square",
"tub, vat",
"tube, vacuum_tube, thermionic_vacuum_tube, thermionic_tube, electron_tube, thermionic_valve",
"tuck_box",
"tucker",
"tucker-bag",
"tuck_shop",
"tudor_arch, four-centered_arch",
"tudung",
"tugboat, tug, towboat, tower",
"tulle",
"tumble-dryer, tumble_drier",
"tumbler",
"tumbrel, tumbril",
"tun",
"tunic",
"tuning_fork",
"tupik, tupek, sealskin_tent",
"turban",
"turbine",
"turbogenerator",
"tureen",
"turkish_bath",
"turkish_towel, terry_towel",
"turk's_head",
"turnbuckle",
"turner, food_turner",
"turnery",
"turnpike",
"turnspit",
"turnstile",
"turntable",
"turntable, lazy_susan",
"turret",
"turret_clock",
"turtleneck, turtle, polo-neck",
"tweed",
"tweeter",
"twenty-two, .22",
"twenty-two_pistol",
"twenty-two_rifle",
"twill",
"twill, twill_weave",
"twin_bed",
"twinjet",
"twist_bit, twist_drill",
"two-by-four",
"two-man_tent",
"two-piece, two-piece_suit, lounge_suit",
"typesetting_machine",
"typewriter",
"typewriter_carriage",
"typewriter_keyboard",
"tyrolean, tirolean",
"uke, ukulele",
"ulster",
"ultracentrifuge",
"ultramicroscope, dark-field_microscope",
"ultrasuede",
"ultraviolet_lamp, ultraviolet_source",
"umbrella",
"umbrella_tent",
"undercarriage",
"undercoat, underseal",
"undergarment, unmentionable",
"underpants",
"underwear, underclothes, underclothing",
"undies",
"uneven_parallel_bars, uneven_bars",
"unicycle, monocycle",
"uniform",
"universal_joint, universal",
"university",
"upholstery",
"upholstery_material",
"upholstery_needle",
"uplift",
"upper_berth, upper",
"upright, upright_piano",
"upset, swage",
"upstairs",
"urceole",
"urn",
"urn",
"used-car, secondhand_car",
"utensil",
"uzi",
"vacation_home",
"vacuum, vacuum_cleaner",
"vacuum_chamber",
"vacuum_flask, vacuum_bottle",
"vacuum_gauge, vacuum_gage",
"valenciennes, valenciennes_lace",
"valise",
"valve",
"valve",
"valve-in-head_engine",
"vambrace, lower_cannon",
"van",
"van, caravan",
"vane",
"vaporizer, vaporiser",
"variable-pitch_propeller",
"variometer",
"varnish",
"vase",
"vault",
"vault, bank_vault",
"vaulting_horse, long_horse, buck",
"vehicle",
"velcro",
"velocipede",
"velour, velours",
"velvet",
"velveteen",
"vending_machine",
"veneer, veneering",
"venetian_blind",
"venn_diagram, venn's_diagram",
"ventilation, ventilation_system, ventilating_system",
"ventilation_shaft",
"ventilator",
"veranda, verandah, gallery",
"verdigris",
"vernier_caliper, vernier_micrometer",
"vernier_scale, vernier",
"vertical_file",
"vertical_stabilizer, vertical_stabiliser, vertical_fin, tail_fin, tailfin",
"vertical_tail",
"very_pistol, verey_pistol",
"vessel, watercraft",
"vessel",
"vest, waistcoat",
"vestiture",
"vestment",
"vest_pocket",
"vestry, sacristy",
"viaduct",
"vibraphone, vibraharp, vibes",
"vibrator",
"vibrator",
"victrola",
"vicuna",
"videocassette",
"videocassette_recorder, vcr",
"videodisk, videodisc, dvd",
"video_recording, video",
"videotape",
"videotape",
"vigil_light, vigil_candle",
"villa",
"villa",
"villa",
"viol",
"viola",
"viola_da_braccio",
"viola_da_gamba, gamba, bass_viol",
"viola_d'amore",
"violin, fiddle",
"virginal, pair_of_virginals",
"viscometer, viscosimeter",
"viscose_rayon, viscose",
"vise, bench_vise",
"visor, vizor",
"visual_display_unit, vdu",
"vivarium",
"viyella",
"voile",
"volleyball",
"volleyball_net",
"voltage_regulator",
"voltaic_cell, galvanic_cell, primary_cell",
"voltaic_pile, pile, galvanic_pile",
"voltmeter",
"vomitory",
"von_neumann_machine",
"voting_booth",
"voting_machine",
"voussoir",
"vox_angelica, voix_celeste",
"vox_humana",
"waders",
"wading_pool",
"waffle_iron",
"wagon, waggon",
"wagon, coaster_wagon",
"wagon_tire",
"wagon_wheel",
"wain",
"wainscot, wainscoting, wainscotting",
"wainscoting, wainscotting",
"waist_pack, belt_bag",
"walker, baby-walker, go-cart",
"walker, zimmer, zimmer_frame",
"walker",
"walkie-talkie, walky-talky",
"walk-in",
"walking_shoe",
"walking_stick",
"walkman",
"walk-up_apartment, walk-up",
"wall",
"wall",
"wall_clock",
"wallet, billfold, notecase, pocketbook",
"wall_tent",
"wall_unit",
"wand",
"wankel_engine, wankel_rotary_engine, epitrochoidal_engine",
"ward, hospital_ward",
"wardrobe, closet, press",
"wardroom",
"warehouse, storage_warehouse",
"warming_pan",
"war_paint",
"warplane, military_plane",
"war_room",
"warship, war_vessel, combat_ship",
"wash",
"wash-and-wear",
"washbasin, handbasin, washbowl, lavabo, wash-hand_basin",
"washboard, splashboard",
"washboard",
"washer, automatic_washer, washing_machine",
"washer",
"washhouse",
"washroom",
"washstand, wash-hand_stand",
"washtub",
"wastepaper_basket, waste-paper_basket, wastebasket, waste_basket, circular_file",
"watch, ticker",
"watch_cap",
"watch_case",
"watch_glass",
"watchtower",
"water-base_paint",
"water_bed",
"water_bottle",
"water_butt",
"water_cart",
"water_chute",
"water_closet, closet, w.c., loo",
"watercolor, water-color, watercolour, water-colour",
"water-cooled_reactor",
"water_cooler",
"water_faucet, water_tap, tap, hydrant",
"water_filter",
"water_gauge, water_gage, water_glass",
"water_glass",
"water_hazard",
"water_heater, hot-water_heater, hot-water_tank",
"watering_can, watering_pot",
"watering_cart",
"water_jacket",
"water_jug",
"water_jump",
"water_level",
"water_meter",
"water_mill",
"waterproof",
"waterproofing",
"water_pump",
"water_scooter, sea_scooter, scooter",
"water_ski",
"waterspout",
"water_tower",
"water_wagon, water_waggon",
"waterwheel, water_wheel",
"waterwheel, water_wheel",
"water_wings",
"waterworks",
"wattmeter",
"waxwork, wax_figure",
"ways, shipway, slipway",
"weapon, arm, weapon_system",
"weaponry, arms, implements_of_war, weapons_system, munition",
"weapons_carrier",
"weathercock",
"weatherglass",
"weather_satellite, meteorological_satellite",
"weather_ship",
"weathervane, weather_vane, vane, wind_vane",
"web, entanglement",
"web",
"webbing",
"webcam",
"wedge",
"wedge",
"wedgie",
"wedgwood",
"weeder, weed-whacker",
"weeds, widow's_weeds",
"weekender",
"weighbridge",
"weight, free_weight, exercising_weight",
"weir",
"weir",
"welcome_wagon",
"weld",
"welder's_mask",
"weldment",
"well",
"wellhead",
"welt",
"weston_cell, cadmium_cell",
"wet_bar",
"wet-bulb_thermometer",
"wet_cell",
"wet_fly",
"wet_suit",
"whaleboat",
"whaler, whaling_ship",
"whaling_gun",
"wheel",
"wheel",
"wheel_and_axle",
"wheelchair",
"wheeled_vehicle",
"wheelwork",
"wherry",
"wherry, norfolk_wherry",
"whetstone",
"whiffletree, whippletree, swingletree",
"whip",
"whipcord",
"whipping_post",
"whipstitch, whipping, whipstitching",
"whirler",
"whisk, whisk_broom",
"whisk",
"whiskey_bottle",
"whiskey_jug",
"whispering_gallery, whispering_dome",
"whistle",
"whistle",
"white",
"white_goods",
"whitewash",
"whorehouse, brothel, bordello, bagnio, house_of_prostitution, house_of_ill_repute, bawdyhouse, cathouse, sporting_house",
"wick, taper",
"wicker, wickerwork, caning",
"wicker_basket",
"wicket, hoop",
"wicket",
"wickiup, wikiup",
"wide-angle_lens, fisheye_lens",
"widebody_aircraft, wide-body_aircraft, wide-body, twin-aisle_airplane",
"wide_wale",
"widow's_walk",
"wiffle, wiffle_ball",
"wig",
"wigwam",
"wilton, wilton_carpet",
"wimple",
"wincey",
"winceyette",
"winch, windlass",
"winchester",
"windbreak, shelterbelt",
"winder, key",
"wind_instrument, wind",
"windjammer",
"windmill, aerogenerator, wind_generator",
"windmill",
"window",
"window",
"window_blind",
"window_box",
"window_envelope",
"window_frame",
"window_screen",
"window_seat",
"window_shade",
"windowsill",
"windshield, windscreen",
"windshield_wiper, windscreen_wiper, wiper, wiper_blade",
"windsor_chair",
"windsor_knot",
"windsor_tie",
"wind_tee",
"wind_tunnel",
"wind_turbine",
"wine_bar",
"wine_bottle",
"wine_bucket, wine_cooler",
"wine_cask, wine_barrel",
"wineglass",
"winepress",
"winery, wine_maker",
"wineskin",
"wing",
"wing_chair",
"wing_nut, wing-nut, wing_screw, butterfly_nut, thumbnut",
"wing_tip",
"wing_tip",
"winker, blinker, blinder",
"wiper, wiper_arm, contact_arm",
"wiper_motor",
"wire",
"wire, conducting_wire",
"wire_cloth",
"wire_cutter",
"wire_gauge, wire_gage",
"wireless_local_area_network, wlan, wireless_fidelity, wifi",
"wire_matrix_printer, wire_printer, stylus_printer",
"wire_recorder",
"wire_stripper",
"wirework, grillwork",
"wiring",
"wishing_cap",
"witness_box, witness_stand",
"wok",
"woman's_clothing",
"wood",
"woodcarving",
"wood_chisel",
"woodenware",
"wooden_spoon",
"woodscrew",
"woodshed",
"wood_vise, woodworking_vise, shoulder_vise",
"woodwind, woodwind_instrument, wood",
"woof, weft, filling, pick",
"woofer",
"wool, woolen, woollen",
"workbasket, workbox, workbag",
"workbench, work_bench, bench",
"work-clothing, work-clothes",
"workhouse",
"workhouse",
"workpiece",
"workroom",
"works, workings",
"work-shirt",
"workstation",
"worktable, work_table",
"workwear",
"world_wide_web, www, web",
"worm_fence, snake_fence, snake-rail_fence, virginia_fence",
"worm_gear",
"worm_wheel",
"worsted",
"worsted, worsted_yarn",
"wrap, wrapper",
"wraparound",
"wrapping, wrap, wrapper",
"wreck",
"wrench, spanner",
"wrestling_mat",
"wringer",
"wrist_pad",
"wrist_pin, gudgeon_pin",
"wristwatch, wrist_watch",
"writing_arm",
"writing_desk",
"writing_desk",
"writing_implement",
"xerographic_printer",
"xerox, xerographic_copier, xerox_machine",
"x-ray_film",
"x-ray_machine",
"x-ray_tube",
"yacht, racing_yacht",
"yacht_chair",
"yagi, yagi_aerial",
"yard",
"yard",
"yardarm",
"yard_marker",
"yardstick, yard_measure",
"yarmulke, yarmulka, yarmelke",
"yashmak, yashmac",
"yataghan",
"yawl, dandy",
"yawl",
"yoke",
"yoke",
"yoke, coupling",
"yurt",
"zamboni",
"zero",
"ziggurat, zikkurat, zikurat",
"zill",
"zip_gun",
"zither, cither, zithern",
"zoot_suit",
"shading",
"grain",
"wood_grain, woodgrain, woodiness",
"graining, woodgraining",
"marbleization, marbleisation, marbleizing, marbleising",
"light, lightness",
"aura, aureole, halo, nimbus, glory, gloriole",
"sunniness",
"glint",
"opalescence, iridescence",
"polish, gloss, glossiness, burnish",
"primary_color_for_pigments, primary_colour_for_pigments",
"primary_color_for_light, primary_colour_for_light",
"colorlessness, colourlessness, achromatism, achromaticity",
"mottle",
"achromia",
"shade, tint, tincture, tone",
"chromatic_color, chromatic_colour, spectral_color, spectral_colour",
"black, blackness, inkiness",
"coal_black, ebony, jet_black, pitch_black, sable, soot_black",
"alabaster",
"bone, ivory, pearl, off-white",
"gray, grayness, grey, greyness",
"ash_grey, ash_gray, silver, silver_grey, silver_gray",
"charcoal, charcoal_grey, charcoal_gray, oxford_grey, oxford_gray",
"sanguine",
"turkey_red, alizarine_red",
"crimson, ruby, deep_red",
"dark_red",
"claret",
"fuschia",
"maroon",
"orange, orangeness",
"reddish_orange",
"yellow, yellowness",
"gamboge, lemon, lemon_yellow, maize",
"pale_yellow, straw, wheat",
"green, greenness, viridity",
"greenishness",
"sea_green",
"sage_green",
"bottle_green",
"emerald",
"olive_green, olive-green",
"jade_green, jade",
"blue, blueness",
"azure, cerulean, sapphire, lazuline, sky-blue",
"steel_blue",
"greenish_blue, aqua, aquamarine, turquoise, cobalt_blue, peacock_blue",
"purplish_blue, royal_blue",
"purple, purpleness",
"tyrian_purple",
"indigo",
"lavender",
"reddish_purple, royal_purple",
"pink",
"carnation",
"rose, rosiness",
"chestnut",
"chocolate, coffee, deep_brown, umber, burnt_umber",
"light_brown",
"tan, topaz",
"beige, ecru",
"reddish_brown, sepia, burnt_sienna, venetian_red, mahogany",
"brick_red",
"copper, copper_color",
"indian_red",
"puce",
"olive",
"ultramarine",
"complementary_color, complementary",
"pigmentation",
"complexion, skin_color, skin_colour",
"ruddiness, rosiness",
"nonsolid_color, nonsolid_colour, dithered_color, dithered_colour",
"aposematic_coloration, warning_coloration",
"cryptic_coloration",
"ring",
"center_of_curvature, centre_of_curvature",
"cadaver, corpse, stiff, clay, remains",
"mandibular_notch",
"rib",
"skin, tegument, cutis",
"skin_graft",
"epidermal_cell",
"melanocyte",
"prickle_cell",
"columnar_cell, columnar_epithelial_cell",
"spongioblast",
"squamous_cell",
"amyloid_plaque, amyloid_protein_plaque",
"dental_plaque, bacterial_plaque",
"macule, macula",
"freckle, lentigo",
"bouffant",
"sausage_curl",
"forelock",
"spit_curl, kiss_curl",
"pigtail",
"pageboy",
"pompadour",
"thatch",
"soup-strainer, toothbrush",
"mustachio, moustachio, handle-bars",
"walrus_mustache, walrus_moustache",
"stubble",
"vandyke_beard, vandyke",
"soul_patch, attilio",
"esophageal_smear",
"paraduodenal_smear, duodenal_smear",
"specimen",
"punctum",
"glenoid_fossa, glenoid_cavity",
"diastema",
"marrow, bone_marrow",
"mouth, oral_cavity, oral_fissure, rima_oris",
"canthus",
"milk",
"mother's_milk",
"colostrum, foremilk",
"vein, vena, venous_blood_vessel",
"ganglion_cell, gangliocyte",
"x_chromosome",
"embryonic_cell, formative_cell",
"myeloblast",
"sideroblast",
"osteocyte",
"megalocyte, macrocyte",
"leukocyte, leucocyte, white_blood_cell, white_cell, white_blood_corpuscle, white_corpuscle, wbc",
"histiocyte",
"fixed_phagocyte",
"lymphocyte, lymph_cell",
"monoblast",
"neutrophil, neutrophile",
"microphage",
"sickle_cell",
"siderocyte",
"spherocyte",
"ootid",
"oocyte",
"spermatid",
"leydig_cell, leydig's_cell",
"striated_muscle_cell, striated_muscle_fiber",
"smooth_muscle_cell",
"ranvier's_nodes, nodes_of_ranvier",
"neuroglia, glia",
"astrocyte",
"protoplasmic_astrocyte",
"oligodendrocyte",
"proprioceptor",
"dendrite",
"sensory_fiber, afferent_fiber",
"subarachnoid_space",
"cerebral_cortex, cerebral_mantle, pallium, cortex",
"renal_cortex",
"prepuce, foreskin",
"head, caput",
"scalp",
"frontal_eminence",
"suture, sutura, fibrous_joint",
"foramen_magnum",
"esophagogastric_junction, oesophagogastric_junction",
"heel",
"cuticle",
"hangnail, agnail",
"exoskeleton",
"abdominal_wall",
"lemon",
"coordinate_axis",
"landscape",
"medium",
"vehicle",
"paper",
"channel, transmission_channel",
"film, cinema, celluloid",
"silver_screen",
"free_press",
"press, public_press",
"print_media",
"storage_medium, data-storage_medium",
"magnetic_storage_medium, magnetic_medium, magnetic_storage",
"journalism, news_media",
"fleet_street",
"photojournalism",
"news_photography",
"rotogravure",
"newspaper, paper",
"daily",
"gazette",
"school_newspaper, school_paper",
"tabloid, rag, sheet",
"yellow_journalism, tabloid, tab",
"telecommunication, telecom",
"telephone, telephony",
"voice_mail, voicemail",
"call, phone_call, telephone_call",
"call-back",
"collect_call",
"call_forwarding",
"call-in",
"call_waiting",
"crank_call",
"local_call",
"long_distance, long-distance_call, trunk_call",
"toll_call",
"wake-up_call",
"three-way_calling",
"telegraphy",
"cable, cablegram, overseas_telegram",
"wireless",
"radiotelegraph, radiotelegraphy, wireless_telegraphy",
"radiotelephone, radiotelephony, wireless_telephone",
"broadcasting",
"rediffusion",
"multiplex",
"radio, radiocommunication, wireless",
"television, telecasting, tv, video",
"cable_television, cable",
"high-definition_television, hdtv",
"reception",
"signal_detection, detection",
"hakham",
"web_site, website, internet_site, site",
"chat_room, chatroom",
"portal_site, portal",
"jotter",
"breviary",
"wordbook",
"desk_dictionary, collegiate_dictionary",
"reckoner, ready_reckoner",
"document, written_document, papers",
"album, record_album",
"concept_album",
"rock_opera",
"tribute_album, benefit_album",
"magazine, mag",
"colour_supplement",
"comic_book",
"news_magazine",
"pulp, pulp_magazine",
"slick, slick_magazine, glossy",
"trade_magazine",
"movie, film, picture, moving_picture, moving-picture_show, motion_picture, motion-picture_show, picture_show, pic, flick",
"outtake",
"shoot-'em-up",
"spaghetti_western",
"encyclical, encyclical_letter",
"crossword_puzzle, crossword",
"sign",
"street_sign",
"traffic_light, traffic_signal, stoplight",
"swastika, hakenkreuz",
"concert",
"artwork, art, graphics, nontextual_matter",
"lobe",
"book_jacket, dust_cover, dust_jacket, dust_wrapper",
"cairn",
"three-day_event",
"comfort_food",
"comestible, edible, eatable, pabulum, victual, victuals",
"tuck",
"course",
"dainty, delicacy, goody, kickshaw, treat",
"dish",
"fast_food",
"finger_food",
"ingesta",
"kosher",
"fare",
"diet",
"diet",
"dietary",
"balanced_diet",
"bland_diet, ulcer_diet",
"clear_liquid_diet",
"diabetic_diet",
"dietary_supplement",
"carbohydrate_loading, carbo_loading",
"fad_diet",
"gluten-free_diet",
"high-protein_diet",
"high-vitamin_diet, vitamin-deficiency_diet",
"light_diet",
"liquid_diet",
"low-calorie_diet",
"low-fat_diet",
"low-sodium_diet, low-salt_diet, salt-free_diet",
"macrobiotic_diet",
"reducing_diet, obesity_diet",
"soft_diet, pap, spoon_food",
"vegetarianism",
"menu",
"chow, chuck, eats, grub",
"board, table",
"mess",
"ration",
"field_ration",
"k_ration",
"c-ration",
"foodstuff, food_product",
"starches",
"breadstuff",
"coloring, colouring, food_coloring, food_colouring, food_color, food_colour",
"concentrate",
"tomato_concentrate",
"meal",
"kibble",
"cornmeal, indian_meal",
"farina",
"matzo_meal, matzoh_meal, matzah_meal",
"oatmeal, rolled_oats",
"pea_flour",
"roughage, fiber",
"bran",
"flour",
"plain_flour",
"wheat_flour",
"whole_wheat_flour, graham_flour, graham, whole_meal_flour",
"soybean_meal, soybean_flour, soy_flour",
"semolina",
"corn_gluten_feed",
"nutriment, nourishment, nutrition, sustenance, aliment, alimentation, victuals",
"commissariat, provisions, provender, viands, victuals",
"larder",
"frozen_food, frozen_foods",
"canned_food, canned_foods, canned_goods, tinned_goods",
"canned_meat, tinned_meat",
"spam",
"dehydrated_food, dehydrated_foods",
"square_meal",
"meal, repast",
"potluck",
"refection",
"refreshment",
"breakfast",
"continental_breakfast, petit_dejeuner",
"brunch",
"lunch, luncheon, tiffin, dejeuner",
"business_lunch",
"high_tea",
"tea, afternoon_tea, teatime",
"dinner",
"supper",
"buffet",
"picnic",
"cookout",
"barbecue, barbeque",
"clambake",
"fish_fry",
"bite, collation, snack",
"nosh",
"nosh-up",
"ploughman's_lunch",
"coffee_break, tea_break",
"banquet, feast, spread",
"entree, main_course",
"piece_de_resistance",
"plate",
"adobo",
"side_dish, side_order, entremets",
"special",
"casserole",
"chicken_casserole",
"chicken_cacciatore, chicken_cacciatora, hunter's_chicken",
"antipasto",
"appetizer, appetiser, starter",
"canape",
"cocktail",
"fruit_cocktail",
"crab_cocktail",
"shrimp_cocktail",
"hors_d'oeuvre",
"relish",
"dip",
"bean_dip",
"cheese_dip",
"clam_dip",
"guacamole",
"soup",
"soup_du_jour",
"alphabet_soup",
"consomme",
"madrilene",
"bisque",
"borsch, borsh, borscht, borsht, borshch, bortsch",
"broth",
"barley_water",
"bouillon",
"beef_broth, beef_stock",
"chicken_broth, chicken_stock",
"broth, stock",
"stock_cube",
"chicken_soup",
"cock-a-leekie, cocky-leeky",
"gazpacho",
"gumbo",
"julienne",
"marmite",
"mock_turtle_soup",
"mulligatawny",
"oxtail_soup",
"pea_soup",
"pepper_pot, philadelphia_pepper_pot",
"petite_marmite, minestrone, vegetable_soup",
"potage, pottage",
"pottage",
"turtle_soup, green_turtle_soup",
"eggdrop_soup",
"chowder",
"corn_chowder",
"clam_chowder",
"manhattan_clam_chowder",
"new_england_clam_chowder",
"fish_chowder",
"won_ton, wonton, wonton_soup",
"split-pea_soup",
"green_pea_soup, potage_st._germain",
"lentil_soup",
"scotch_broth",
"vichyssoise",
"stew",
"bigos",
"brunswick_stew",
"burgoo",
"burgoo",
"olla_podrida, spanish_burgoo",
"mulligan_stew, mulligan, irish_burgoo",
"purloo, chicken_purloo, poilu",
"goulash, hungarian_goulash, gulyas",
"hotchpotch",
"hot_pot, hotpot",
"beef_goulash",
"pork-and-veal_goulash",
"porkholt",
"irish_stew",
"oyster_stew",
"lobster_stew",
"lobscouse, lobscuse, scouse",
"fish_stew",
"bouillabaisse",
"matelote",
"paella",
"fricassee",
"chicken_stew",
"turkey_stew",
"beef_stew",
"ragout",
"ratatouille",
"salmi",
"pot-au-feu",
"slumgullion",
"smorgasbord",
"viand",
"ready-mix",
"brownie_mix",
"cake_mix",
"lemonade_mix",
"self-rising_flour, self-raising_flour",
"choice_morsel, tidbit, titbit",
"savory, savoury",
"calf's-foot_jelly",
"caramel, caramelized_sugar",
"lump_sugar",
"cane_sugar",
"castor_sugar, caster_sugar",
"powdered_sugar",
"granulated_sugar",
"icing_sugar",
"corn_sugar",
"brown_sugar",
"demerara, demerara_sugar",
"sweet, confection",
"confectionery",
"confiture",
"sweetmeat",
"candy, confect",
"candy_bar",
"carob_bar",
"hardbake",
"hard_candy",
"barley-sugar, barley_candy",
"brandyball",
"jawbreaker",
"lemon_drop",
"sourball",
"patty",
"peppermint_patty",
"bonbon",
"brittle, toffee, toffy",
"peanut_brittle",
"chewing_gum, gum",
"gum_ball",
"bubble_gum",
"butterscotch",
"candied_fruit, succade, crystallized_fruit",
"candied_apple, candy_apple, taffy_apple, caramel_apple, toffee_apple",
"crystallized_ginger",
"grapefruit_peel",
"lemon_peel",
"orange_peel",
"candied_citrus_peel",
"candy_cane",
"candy_corn",
"caramel",
"center, centre",
"comfit",
"cotton_candy, spun_sugar, candyfloss",
"dragee",
"dragee",
"fondant",
"fudge",
"chocolate_fudge",
"divinity, divinity_fudge",
"penuche, penoche, panoche, panocha",
"gumdrop",
"jujube",
"honey_crisp",
"mint, mint_candy",
"horehound",
"peppermint, peppermint_candy",
"jelly_bean, jelly_egg",
"kiss, candy_kiss",
"molasses_kiss",
"meringue_kiss",
"chocolate_kiss",
"licorice, liquorice",
"life_saver",
"lollipop, sucker, all-day_sucker",
"lozenge",
"cachou",
"cough_drop, troche, pastille, pastil",
"marshmallow",
"marzipan, marchpane",
"nougat",
"nougat_bar",
"nut_bar",
"peanut_bar",
"popcorn_ball",
"praline",
"rock_candy",
"rock_candy, rock",
"sugar_candy",
"sugarplum",
"taffy",
"molasses_taffy",
"truffle, chocolate_truffle",
"turkish_delight",
"dessert, sweet, afters",
"ambrosia, nectar",
"ambrosia",
"baked_alaska",
"blancmange",
"charlotte",
"compote, fruit_compote",
"dumpling",
"flan",
"frozen_dessert",
"junket",
"mousse",
"mousse",
"pavlova",
"peach_melba",
"whip",
"prune_whip",
"pudding",
"pudding, pud",
"syllabub, sillabub",
"tiramisu",
"trifle",
"tipsy_cake",
"jello, jell-o",
"apple_dumpling",
"ice, frappe",
"water_ice, sorbet",
"ice_cream, icecream",
"ice-cream_cone",
"chocolate_ice_cream",
"neapolitan_ice_cream",
"peach_ice_cream",
"sherbert, sherbet",
"strawberry_ice_cream",
"tutti-frutti",
"vanilla_ice_cream",
"ice_lolly, lolly, lollipop, popsicle",
"ice_milk",
"frozen_yogurt",
"snowball",
"snowball",
"parfait",
"ice-cream_sundae, sundae",
"split",
"banana_split",
"frozen_pudding",
"frozen_custard, soft_ice_cream",
"pudding",
"flummery",
"fish_mousse",
"chicken_mousse",
"chocolate_mousse",
"plum_pudding, christmas_pudding",
"carrot_pudding",
"corn_pudding",
"steamed_pudding",
"duff, plum_duff",
"vanilla_pudding",
"chocolate_pudding",
"brown_betty",
"nesselrode, nesselrode_pudding",
"pease_pudding",
"custard",
"creme_caramel",
"creme_anglais",
"creme_brulee",
"fruit_custard",
"tapioca",
"tapioca_pudding",
"roly-poly, roly-poly_pudding",
"suet_pudding",
"bavarian_cream",
"maraschino, maraschino_cherry",
"nonpareil",
"zabaglione, sabayon",
"garnish",
"pastry, pastry_dough",
"turnover",
"apple_turnover",
"knish",
"pirogi, piroshki, pirozhki",
"samosa",
"timbale",
"puff_paste, pate_feuillete",
"phyllo",
"puff_batter, pouf_paste, pate_a_choux",
"ice-cream_cake, icebox_cake",
"doughnut, donut, sinker",
"fish_cake, fish_ball",
"fish_stick, fish_finger",
"conserve, preserve, conserves, preserves",
"apple_butter",
"chowchow",
"jam",
"lemon_curd, lemon_cheese",
"strawberry_jam, strawberry_preserves",
"jelly",
"apple_jelly",
"crabapple_jelly",
"grape_jelly",
"marmalade",
"orange_marmalade",
"gelatin, jelly",
"gelatin_dessert",
"buffalo_wing",
"barbecued_wing",
"mess",
"mince",
"puree",
"barbecue, barbeque",
"biryani, biriani",
"escalope_de_veau_orloff",
"saute",
"patty, cake",
"veal_parmesan, veal_parmigiana",
"veal_cordon_bleu",
"margarine, margarin, oleo, oleomargarine, marge",
"mincemeat",
"stuffing, dressing",
"turkey_stuffing",
"oyster_stuffing, oyster_dressing",
"forcemeat, farce",
"bread, breadstuff, staff_of_life",
"anadama_bread",
"bap",
"barmbrack",
"breadstick, bread-stick",
"grissino",
"brown_bread, boston_brown_bread",
"bun, roll",
"tea_bread",
"caraway_seed_bread",
"challah, hallah",
"cinnamon_bread",
"cracked-wheat_bread",
"cracker",
"crouton",
"dark_bread, whole_wheat_bread, whole_meal_bread, brown_bread",
"english_muffin",
"flatbread",
"garlic_bread",
"gluten_bread",
"graham_bread",
"host",
"flatbrod",
"bannock",
"chapatti, chapati",
"pita, pocket_bread",
"loaf_of_bread, loaf",
"french_loaf",
"matzo, matzoh, matzah, unleavened_bread",
"nan, naan",
"onion_bread",
"raisin_bread",
"quick_bread",
"banana_bread",
"date_bread",
"date-nut_bread",
"nut_bread",
"oatcake",
"irish_soda_bread",
"skillet_bread, fry_bread",
"rye_bread",
"black_bread, pumpernickel",
"jewish_rye_bread, jewish_rye",
"limpa",
"swedish_rye_bread, swedish_rye",
"salt-rising_bread",
"simnel",
"sour_bread, sourdough_bread",
"toast",
"wafer",
"white_bread, light_bread",
"baguet, baguette",
"french_bread",
"italian_bread",
"cornbread",
"corn_cake",
"skillet_corn_bread",
"ashcake, ash_cake, corn_tash",
"hoecake",
"cornpone, pone",
"corn_dab, corn_dodger, dodger",
"hush_puppy, hushpuppy",
"johnnycake, johnny_cake, journey_cake",
"shawnee_cake",
"spoon_bread, batter_bread",
"cinnamon_toast",
"orange_toast",
"melba_toast",
"zwieback, rusk, brussels_biscuit, twice-baked_bread",
"frankfurter_bun, hotdog_bun",
"hamburger_bun, hamburger_roll",
"muffin, gem",
"bran_muffin",
"corn_muffin",
"yorkshire_pudding",
"popover",
"scone",
"drop_scone, griddlecake, scotch_pancake",
"cross_bun, hot_cross_bun",
"brioche",
"crescent_roll, croissant",
"hard_roll, vienna_roll",
"soft_roll",
"kaiser_roll",
"parker_house_roll",
"clover-leaf_roll",
"onion_roll",
"bialy, bialystoker",
"sweet_roll, coffee_roll",
"bear_claw, bear_paw",
"cinnamon_roll, cinnamon_bun, cinnamon_snail",
"honey_bun, sticky_bun, caramel_bun, schnecken",
"pinwheel_roll",
"danish, danish_pastry",
"bagel, beigel",
"onion_bagel",
"biscuit",
"rolled_biscuit",
"baking-powder_biscuit",
"buttermilk_biscuit, soda_biscuit",
"shortcake",
"hardtack, pilot_biscuit, pilot_bread, sea_biscuit, ship_biscuit",
"saltine",
"soda_cracker",
"oyster_cracker",
"water_biscuit",
"graham_cracker",
"pretzel",
"soft_pretzel",
"sandwich",
"sandwich_plate",
"butty",
"ham_sandwich",
"chicken_sandwich",
"club_sandwich, three-decker, triple-decker",
"open-face_sandwich, open_sandwich",
"hamburger, beefburger, burger",
"cheeseburger",
"tunaburger",
"hotdog, hot_dog, red_hot",
"sloppy_joe",
"bomber, grinder, hero, hero_sandwich, hoagie, hoagy, cuban_sandwich, italian_sandwich, poor_boy, sub, submarine, submarine_sandwich, torpedo, wedge, zep",
"gyro",
"bacon-lettuce-tomato_sandwich, blt",
"reuben",
"western, western_sandwich",
"wrap",
"spaghetti",
"hasty_pudding",
"gruel",
"congee, jook",
"skilly",
"edible_fruit",
"vegetable, veggie, veg",
"julienne, julienne_vegetable",
"raw_vegetable, rabbit_food",
"crudites",
"celery_stick",
"legume",
"pulse",
"potherb",
"greens, green, leafy_vegetable",
"chop-suey_greens",
"bean_curd, tofu",
"solanaceous_vegetable",
"root_vegetable",
"potato, white_potato, irish_potato, murphy, spud, tater",
"baked_potato",
"french_fries, french-fried_potatoes, fries, chips",
"home_fries, home-fried_potatoes",
"jacket_potato",
"mashed_potato",
"potato_skin, potato_peel, potato_peelings",
"uruguay_potato",
"yam",
"sweet_potato",
"yam",
"snack_food",
"chip, crisp, potato_chip, saratoga_chip",
"corn_chip",
"tortilla_chip",
"nacho",
"eggplant, aubergine, mad_apple",
"pieplant, rhubarb",
"cruciferous_vegetable",
"mustard, mustard_greens, leaf_mustard, indian_mustard",
"cabbage, chou",
"kale, kail, cole",
"collards, collard_greens",
"chinese_cabbage, celery_cabbage, chinese_celery",
"bok_choy, bok_choi",
"head_cabbage",
"red_cabbage",
"savoy_cabbage, savoy",
"broccoli",
"cauliflower",
"brussels_sprouts",
"broccoli_rabe, broccoli_raab",
"squash",
"summer_squash",
"yellow_squash",
"crookneck, crookneck_squash, summer_crookneck",
"zucchini, courgette",
"marrow, vegetable_marrow",
"cocozelle",
"pattypan_squash",
"spaghetti_squash",
"winter_squash",
"acorn_squash",
"butternut_squash",
"hubbard_squash",
"turban_squash",
"buttercup_squash",
"cushaw",
"winter_crookneck_squash",
"cucumber, cuke",
"gherkin",
"artichoke, globe_artichoke",
"artichoke_heart",
"jerusalem_artichoke, sunchoke",
"asparagus",
"bamboo_shoot",
"sprout",
"bean_sprout",
"alfalfa_sprout",
"beet, beetroot",
"beet_green",
"sugar_beet",
"mangel-wurzel",
"chard, swiss_chard, spinach_beet, leaf_beet",
"pepper",
"sweet_pepper",
"bell_pepper",
"green_pepper",
"globe_pepper",
"pimento, pimiento",
"hot_pepper",
"chili, chili_pepper, chilli, chilly, chile",
"jalapeno, jalapeno_pepper",
"chipotle",
"cayenne, cayenne_pepper",
"tabasco, red_pepper",
"onion",
"bermuda_onion",
"green_onion, spring_onion, scallion",
"vidalia_onion",
"spanish_onion",
"purple_onion, red_onion",
"leek",
"shallot",
"salad_green, salad_greens",
"lettuce",
"butterhead_lettuce",
"buttercrunch",
"bibb_lettuce",
"boston_lettuce",
"crisphead_lettuce, iceberg_lettuce, iceberg",
"cos, cos_lettuce, romaine, romaine_lettuce",
"leaf_lettuce, loose-leaf_lettuce",
"celtuce",
"bean, edible_bean",
"goa_bean",
"lentil",
"pea",
"green_pea, garden_pea",
"marrowfat_pea",
"snow_pea, sugar_pea",
"sugar_snap_pea",
"split-pea",
"chickpea, garbanzo",
"cajan_pea, pigeon_pea, dahl",
"field_pea",
"mushy_peas",
"black-eyed_pea, cowpea",
"common_bean",
"kidney_bean",
"navy_bean, pea_bean, white_bean",
"pinto_bean",
"frijole",
"black_bean, turtle_bean",
"fresh_bean",
"flageolet, haricot",
"green_bean",
"snap_bean, snap",
"string_bean",
"kentucky_wonder, kentucky_wonder_bean",
"scarlet_runner, scarlet_runner_bean, runner_bean, english_runner_bean",
"haricot_vert, haricots_verts, french_bean",
"wax_bean, yellow_bean",
"shell_bean",
"lima_bean",
"fordhooks",
"sieva_bean, butter_bean, butterbean, civet_bean",
"fava_bean, broad_bean",
"soy, soybean, soya, soya_bean",
"green_soybean",
"field_soybean",
"cardoon",
"carrot",
"carrot_stick",
"celery",
"pascal_celery, paschal_celery",
"celeriac, celery_root",
"chicory, curly_endive",
"radicchio",
"coffee_substitute",
"chicory, chicory_root",
"postum",
"chicory_escarole, endive, escarole",
"belgian_endive, french_endive, witloof",
"corn, edible_corn",
"sweet_corn, green_corn",
"hominy",
"lye_hominy",
"pearl_hominy",
"popcorn",
"cress",
"watercress",
"garden_cress",
"winter_cress",
"dandelion_green",
"gumbo, okra",
"kohlrabi, turnip_cabbage",
"lamb's-quarter, pigweed, wild_spinach",
"wild_spinach",
"tomato",
"beefsteak_tomato",
"cherry_tomato",
"plum_tomato",
"tomatillo, husk_tomato, mexican_husk_tomato",
"mushroom",
"stuffed_mushroom",
"salsify",
"oyster_plant, vegetable_oyster",
"scorzonera, black_salsify",
"parsnip",
"pumpkin",
"radish",
"turnip",
"white_turnip",
"rutabaga, swede, swedish_turnip, yellow_turnip",
"turnip_greens",
"sorrel, common_sorrel",
"french_sorrel",
"spinach",
"taro, taro_root, cocoyam, dasheen, edda",
"truffle, earthnut",
"edible_nut",
"bunya_bunya",
"peanut, earthnut, goober, goober_pea, groundnut, monkey_nut",
"freestone",
"cling, clingstone",
"windfall",
"apple",
"crab_apple, crabapple",
"eating_apple, dessert_apple",
"baldwin",
"cortland",
"cox's_orange_pippin",
"delicious",
"golden_delicious, yellow_delicious",
"red_delicious",
"empire",
"grimes'_golden",
"jonathan",
"mcintosh",
"macoun",
"northern_spy",
"pearmain",
"pippin",
"prima",
"stayman",
"winesap",
"stayman_winesap",
"cooking_apple",
"bramley's_seedling",
"granny_smith",
"lane's_prince_albert",
"newtown_wonder",
"rome_beauty",
"berry",
"bilberry, whortleberry, european_blueberry",
"huckleberry",
"blueberry",
"wintergreen, boxberry, checkerberry, teaberry, spiceberry",
"cranberry",
"lingonberry, mountain_cranberry, cowberry, lowbush_cranberry",
"currant",
"gooseberry",
"black_currant",
"red_currant",
"blackberry",
"boysenberry",
"dewberry",
"loganberry",
"raspberry",
"saskatoon, serviceberry, shadberry, juneberry",
"strawberry",
"sugarberry, hackberry",
"persimmon",
"acerola, barbados_cherry, surinam_cherry, west_indian_cherry",
"carambola, star_fruit",
"ceriman, monstera",
"carissa_plum, natal_plum",
"citrus, citrus_fruit, citrous_fruit",
"orange",
"temple_orange",
"mandarin, mandarin_orange",
"clementine",
"satsuma",
"tangerine",
"tangelo, ugli, ugli_fruit",
"bitter_orange, seville_orange, sour_orange",
"sweet_orange",
"jaffa_orange",
"navel_orange",
"valencia_orange",
"kumquat",
"lemon",
"lime",
"key_lime",
"grapefruit",
"pomelo, shaddock",
"citrange",
"citron",
"almond",
"jordan_almond",
"apricot",
"peach",
"nectarine",
"pitahaya",
"plum",
"damson, damson_plum",
"greengage, greengage_plum",
"beach_plum",
"sloe",
"victoria_plum",
"dried_fruit",
"dried_apricot",
"prune",
"raisin",
"seedless_raisin, sultana",
"seeded_raisin",
"currant",
"fig",
"pineapple, ananas",
"anchovy_pear, river_pear",
"banana",
"passion_fruit",
"granadilla",
"sweet_calabash",
"bell_apple, sweet_cup, water_lemon, yellow_granadilla",
"breadfruit",
"jackfruit, jak, jack",
"cacao_bean, cocoa_bean",
"cocoa",
"canistel, eggfruit",
"melon",
"melon_ball",
"muskmelon, sweet_melon",
"cantaloup, cantaloupe",
"winter_melon",
"honeydew, honeydew_melon",
"persian_melon",
"net_melon, netted_melon, nutmeg_melon",
"casaba, casaba_melon",
"watermelon",
"cherry",
"sweet_cherry, black_cherry",
"bing_cherry",
"heart_cherry, oxheart, oxheart_cherry",
"blackheart, blackheart_cherry",
"capulin, mexican_black_cherry",
"sour_cherry",
"amarelle",
"morello",
"cocoa_plum, coco_plum, icaco",
"gherkin",
"grape",
"fox_grape",
"concord_grape",
"catawba",
"muscadine, bullace_grape",
"scuppernong",
"slipskin_grape",
"vinifera_grape",
"emperor",
"muscat, muscatel, muscat_grape",
"ribier",
"sultana",
"tokay",
"flame_tokay",
"thompson_seedless",
"custard_apple",
"cherimoya, cherimolla",
"soursop, guanabana",
"sweetsop, annon, sugar_apple",
"ilama",
"pond_apple",
"papaw, pawpaw",
"papaya",
"kai_apple",
"ketembilla, kitembilla, kitambilla",
"ackee, akee",
"durian",
"feijoa, pineapple_guava",
"genip, spanish_lime",
"genipap, genipap_fruit",
"kiwi, kiwi_fruit, chinese_gooseberry",
"loquat, japanese_plum",
"mangosteen",
"mango",
"sapodilla, sapodilla_plum, sapota",
"sapote, mammee, marmalade_plum",
"tamarind, tamarindo",
"avocado, alligator_pear, avocado_pear, aguacate",
"date",
"elderberry",
"guava",
"mombin",
"hog_plum, yellow_mombin",
"hog_plum, wild_plum",
"jaboticaba",
"jujube, chinese_date, chinese_jujube",
"litchi, litchi_nut, litchee, lichi, leechee, lichee, lychee",
"longanberry, dragon's_eye",
"mamey, mammee, mammee_apple",
"marang",
"medlar",
"medlar",
"mulberry",
"olive",
"black_olive, ripe_olive",
"green_olive",
"pear",
"bosc",
"anjou",
"bartlett, bartlett_pear",
"seckel, seckel_pear",
"plantain",
"plumcot",
"pomegranate",
"prickly_pear",
"barbados_gooseberry, blade_apple",
"quandong, quandang, quantong, native_peach",
"quandong_nut",
"quince",
"rambutan, rambotan",
"pulasan, pulassan",
"rose_apple",
"sorb, sorb_apple",
"sour_gourd, monkey_bread",
"edible_seed",
"pumpkin_seed",
"betel_nut, areca_nut",
"beechnut",
"walnut",
"black_walnut",
"english_walnut",
"brazil_nut, brazil",
"butternut",
"souari_nut",
"cashew, cashew_nut",
"chestnut",
"chincapin, chinkapin, chinquapin",
"hazelnut, filbert, cobnut, cob",
"coconut, cocoanut",
"coconut_milk, coconut_water",
"grugru_nut",
"hickory_nut",
"cola_extract",
"macadamia_nut",
"pecan",
"pine_nut, pignolia, pinon_nut",
"pistachio, pistachio_nut",
"sunflower_seed",
"anchovy_paste",
"rollmops",
"feed, provender",
"cattle_cake",
"creep_feed",
"fodder",
"feed_grain",
"eatage, forage, pasture, pasturage, grass",
"silage, ensilage",
"oil_cake",
"oil_meal",
"alfalfa",
"broad_bean, horse_bean",
"hay",
"timothy",
"stover",
"grain, food_grain, cereal",
"grist",
"groats",
"millet",
"barley, barleycorn",
"pearl_barley",
"buckwheat",
"bulgur, bulghur, bulgur_wheat",
"wheat, wheat_berry",
"cracked_wheat",
"stodge",
"wheat_germ",
"oat",
"rice",
"brown_rice",
"white_rice, polished_rice",
"wild_rice, indian_rice",
"paddy",
"slop, slops, swill, pigswill, pigwash",
"mash",
"chicken_feed, scratch",
"cud, rechewed_food",
"bird_feed, bird_food, birdseed",
"petfood, pet-food, pet_food",
"dog_food",
"cat_food",
"canary_seed",
"salad",
"tossed_salad",
"green_salad",
"caesar_salad",
"salmagundi",
"salad_nicoise",
"combination_salad",
"chef's_salad",
"potato_salad",
"pasta_salad",
"macaroni_salad",
"fruit_salad",
"waldorf_salad",
"crab_louis",
"herring_salad",
"tuna_fish_salad, tuna_salad",
"chicken_salad",
"coleslaw, slaw",
"aspic",
"molded_salad",
"tabbouleh, tabooli",
"ingredient, fixings",
"flavorer, flavourer, flavoring, flavouring, seasoner, seasoning",
"bouillon_cube",
"condiment",
"herb",
"fines_herbes",
"spice",
"spearmint_oil",
"lemon_oil",
"wintergreen_oil, oil_of_wintergreen",
"salt, table_salt, common_salt",
"celery_salt",
"onion_salt",
"seasoned_salt",
"sour_salt",
"five_spice_powder",
"allspice",
"cinnamon",
"stick_cinnamon",
"clove",
"cumin, cumin_seed",
"fennel",
"ginger, gingerroot",
"ginger, powdered_ginger",
"mace",
"nutmeg",
"pepper, peppercorn",
"black_pepper",
"white_pepper",
"sassafras",
"basil, sweet_basil",
"bay_leaf",
"borage",
"hyssop",
"caraway",
"chervil",
"chives",
"comfrey, healing_herb",
"coriander, chinese_parsley, cilantro",
"coriander, coriander_seed",
"costmary",
"fennel, common_fennel",
"fennel, florence_fennel, finocchio",
"fennel_seed",
"fenugreek, fenugreek_seed",
"garlic, ail",
"clove, garlic_clove",
"garlic_chive",
"lemon_balm",
"lovage",
"marjoram, oregano",
"mint",
"mustard_seed",
"mustard, table_mustard",
"chinese_mustard",
"nasturtium",
"parsley",
"salad_burnet",
"rosemary",
"rue",
"sage",
"clary_sage",
"savory, savoury",
"summer_savory, summer_savoury",
"winter_savory, winter_savoury",
"sweet_woodruff, waldmeister",
"sweet_cicely",
"tarragon, estragon",
"thyme",
"turmeric",
"caper",
"catsup, ketchup, cetchup, tomato_ketchup",
"cardamom, cardamon, cardamum",
"cayenne, cayenne_pepper, red_pepper",
"chili_powder",
"chili_sauce",
"chutney, indian_relish",
"steak_sauce",
"taco_sauce",
"salsa",
"mint_sauce",
"cranberry_sauce",
"curry_powder",
"curry",
"lamb_curry",
"duck_sauce, hoisin_sauce",
"horseradish",
"marinade",
"paprika",
"spanish_paprika",
"pickle",
"dill_pickle",
"bread_and_butter_pickle",
"pickle_relish",
"piccalilli",
"sweet_pickle",
"applesauce, apple_sauce",
"soy_sauce, soy",
"tabasco, tabasco_sauce",
"tomato_paste",
"angelica",
"angelica",
"almond_extract",
"anise, aniseed, anise_seed",
"chinese_anise, star_anise, star_aniseed",
"juniper_berries",
"saffron",
"sesame_seed, benniseed",
"caraway_seed",
"poppy_seed",
"dill, dill_weed",
"dill_seed",
"celery_seed",
"lemon_extract",
"monosodium_glutamate, msg",
"vanilla_bean",
"vinegar, acetum",
"cider_vinegar",
"wine_vinegar",
"sauce",
"anchovy_sauce",
"hot_sauce",
"hard_sauce",
"horseradish_sauce, sauce_albert",
"bolognese_pasta_sauce",
"carbonara",
"tomato_sauce",
"tartare_sauce, tartar_sauce",
"wine_sauce",
"marchand_de_vin, mushroom_wine_sauce",
"bread_sauce",
"plum_sauce",
"peach_sauce",
"apricot_sauce",
"pesto",
"ravigote, ravigotte",
"remoulade_sauce",
"dressing, salad_dressing",
"sauce_louis",
"bleu_cheese_dressing, blue_cheese_dressing",
"blue_cheese_dressing, roquefort_dressing",
"french_dressing, vinaigrette, sauce_vinaigrette",
"lorenzo_dressing",
"anchovy_dressing",
"italian_dressing",
"half-and-half_dressing",
"mayonnaise, mayo",
"green_mayonnaise, sauce_verte",
"aioli, aioli_sauce, garlic_sauce",
"russian_dressing, russian_mayonnaise",
"salad_cream",
"thousand_island_dressing",
"barbecue_sauce",
"hollandaise",
"bearnaise",
"bercy, bercy_butter",
"bordelaise",
"bourguignon, bourguignon_sauce, burgundy_sauce",
"brown_sauce, sauce_espagnole",
"espagnole, sauce_espagnole",
"chinese_brown_sauce, brown_sauce",
"blanc",
"cheese_sauce",
"chocolate_sauce, chocolate_syrup",
"hot-fudge_sauce, fudge_sauce",
"cocktail_sauce, seafood_sauce",
"colbert, colbert_butter",
"white_sauce, bechamel_sauce, bechamel",
"cream_sauce",
"mornay_sauce",
"demiglace, demi-glaze",
"gravy, pan_gravy",
"gravy",
"spaghetti_sauce, pasta_sauce",
"marinara",
"mole",
"hunter's_sauce, sauce_chausseur",
"mushroom_sauce",
"mustard_sauce",
"nantua, shrimp_sauce",
"hungarian_sauce, paprika_sauce",
"pepper_sauce, poivrade",
"roux",
"smitane",
"soubise, white_onion_sauce",
"lyonnaise_sauce, brown_onion_sauce",
"veloute",
"allemande, allemande_sauce",
"caper_sauce",
"poulette",
"curry_sauce",
"worcester_sauce, worcestershire, worcestershire_sauce",
"coconut_milk, coconut_cream",
"egg, eggs",
"egg_white, white, albumen, ovalbumin",
"egg_yolk, yolk",
"boiled_egg, coddled_egg",
"hard-boiled_egg, hard-cooked_egg",
"easter_egg",
"easter_egg",
"chocolate_egg",
"candy_egg",
"poached_egg, dropped_egg",
"scrambled_eggs",
"deviled_egg, stuffed_egg",
"shirred_egg, baked_egg, egg_en_cocotte",
"omelet, omelette",
"firm_omelet",
"french_omelet",
"fluffy_omelet",
"western_omelet",
"souffle",
"fried_egg",
"dairy_product",
"milk",
"milk",
"sour_milk",
"soya_milk, soybean_milk, soymilk",
"formula",
"pasteurized_milk",
"cows'_milk",
"yak's_milk",
"goats'_milk",
"acidophilus_milk",
"raw_milk",
"scalded_milk",
"homogenized_milk",
"certified_milk",
"powdered_milk, dry_milk, dried_milk, milk_powder",
"nonfat_dry_milk",
"evaporated_milk",
"condensed_milk",
"skim_milk, skimmed_milk",
"semi-skimmed_milk",
"whole_milk",
"low-fat_milk",
"buttermilk",
"cream",
"clotted_cream, devonshire_cream",
"double_creme, heavy_whipping_cream",
"half-and-half",
"heavy_cream",
"light_cream, coffee_cream, single_cream",
"sour_cream, soured_cream",
"whipping_cream, light_whipping_cream",
"butter",
"clarified_butter, drawn_butter",
"ghee",
"brown_butter, beurre_noisette",
"meuniere_butter, lemon_butter",
"yogurt, yoghurt, yoghourt",
"blueberry_yogurt",
"raita",
"whey",
"curd",
"curd",
"clabber",
"cheese",
"paring",
"cream_cheese",
"double_cream",
"mascarpone",
"triple_cream, triple_creme",
"cottage_cheese, pot_cheese, farm_cheese, farmer's_cheese",
"process_cheese, processed_cheese",
"bleu, blue_cheese",
"stilton",
"roquefort",
"gorgonzola",
"danish_blue",
"bavarian_blue",
"brie",
"brick_cheese",
"camembert",
"cheddar, cheddar_cheese, armerican_cheddar, american_cheese",
"rat_cheese, store_cheese",
"cheshire_cheese",
"double_gloucester",
"edam",
"goat_cheese, chevre",
"gouda, gouda_cheese",
"grated_cheese",
"hand_cheese",
"liederkranz",
"limburger",
"mozzarella",
"muenster",
"parmesan",
"quark_cheese, quark",
"ricotta",
"string_cheese",
"swiss_cheese",
"emmenthal, emmental, emmenthaler, emmentaler",
"gruyere",
"sapsago",
"velveeta",
"nut_butter",
"peanut_butter",
"marshmallow_fluff",
"onion_butter",
"pimento_butter",
"shrimp_butter",
"lobster_butter",
"yak_butter",
"spread, paste",
"cheese_spread",
"anchovy_butter",
"fishpaste",
"garlic_butter",
"miso",
"wasabi",
"snail_butter",
"hummus, humus, hommos, hoummos, humous",
"pate",
"duck_pate",
"foie_gras, pate_de_foie_gras",
"tapenade",
"tahini",
"sweetening, sweetener",
"aspartame",
"honey",
"saccharin",
"sugar, refined_sugar",
"syrup, sirup",
"sugar_syrup",
"molasses",
"sorghum, sorghum_molasses",
"treacle, golden_syrup",
"grenadine",
"maple_syrup",
"corn_syrup",
"miraculous_food, manna, manna_from_heaven",
"batter",
"dough",
"bread_dough",
"pancake_batter",
"fritter_batter",
"coq_au_vin",
"chicken_provencale",
"chicken_and_rice",
"moo_goo_gai_pan",
"arroz_con_pollo",
"bacon_and_eggs",
"barbecued_spareribs, spareribs",
"beef_bourguignonne, boeuf_bourguignonne",
"beef_wellington, filet_de_boeuf_en_croute",
"bitok",
"boiled_dinner, new_england_boiled_dinner",
"boston_baked_beans",
"bubble_and_squeak",
"pasta",
"cannelloni",
"carbonnade_flamande, belgian_beef_stew",
"cheese_souffle",
"chicken_marengo",
"chicken_cordon_bleu",
"maryland_chicken",
"chicken_paprika, chicken_paprikash",
"chicken_tetrazzini",
"tetrazzini",
"chicken_kiev",
"chili, chili_con_carne",
"chili_dog",
"chop_suey",
"chow_mein",
"codfish_ball, codfish_cake",
"coquille",
"coquilles_saint-jacques",
"croquette",
"cottage_pie",
"rissole",
"dolmas, stuffed_grape_leaves",
"egg_foo_yong, egg_fu_yung",
"egg_roll, spring_roll",
"eggs_benedict",
"enchilada",
"falafel, felafel",
"fish_and_chips",
"fondue, fondu",
"cheese_fondue",
"chocolate_fondue",
"fondue, fondu",
"beef_fondue, boeuf_fondu_bourguignon",
"french_toast",
"fried_rice, chinese_fried_rice",
"frittata",
"frog_legs",
"galantine",
"gefilte_fish, fish_ball",
"haggis",
"ham_and_eggs",
"hash",
"corned_beef_hash",
"jambalaya",
"kabob, kebab, shish_kebab",
"kedgeree",
"souvlaki, souvlakia",
"lasagna, lasagne",
"seafood_newburg",
"lobster_newburg, lobster_a_la_newburg",
"shrimp_newburg",
"newburg_sauce",
"lobster_thermidor",
"lutefisk, lutfisk",
"macaroni_and_cheese",
"macedoine",
"meatball",
"porcupine_ball, porcupines",
"swedish_meatball",
"meat_loaf, meatloaf",
"moussaka",
"osso_buco",
"marrow, bone_marrow",
"pheasant_under_glass",
"pigs_in_blankets",
"pilaf, pilaff, pilau, pilaw",
"bulgur_pilaf",
"pizza, pizza_pie",
"sausage_pizza",
"pepperoni_pizza",
"cheese_pizza",
"anchovy_pizza",
"sicilian_pizza",
"poi",
"pork_and_beans",
"porridge",
"oatmeal, burgoo",
"loblolly",
"potpie",
"rijsttaffel, rijstaffel, rijstafel",
"risotto, italian_rice",
"roulade",
"fish_loaf",
"salmon_loaf",
"salisbury_steak",
"sauerbraten",
"sauerkraut",
"scallopine, scallopini",
"veal_scallopini",
"scampi",
"scotch_egg",
"scotch_woodcock",
"scrapple",
"spaghetti_and_meatballs",
"spanish_rice",
"steak_tartare, tartar_steak, cannibal_mound",
"pepper_steak",
"steak_au_poivre, peppered_steak, pepper_steak",
"beef_stroganoff",
"stuffed_cabbage",
"kishke, stuffed_derma",
"stuffed_peppers",
"stuffed_tomato, hot_stuffed_tomato",
"stuffed_tomato, cold_stuffed_tomato",
"succotash",
"sukiyaki",
"sashimi",
"sushi",
"swiss_steak",
"tamale",
"tamale_pie",
"tempura",
"teriyaki",
"terrine",
"welsh_rarebit, welsh_rabbit, rarebit",
"schnitzel, wiener_schnitzel",
"taco",
"chicken_taco",
"burrito",
"beef_burrito",
"quesadilla",
"tostada",
"bean_tostada",
"refried_beans, frijoles_refritos",
"beverage, drink, drinkable, potable",
"wish-wash",
"concoction, mixture, intermixture",
"mix, premix",
"filling",
"lekvar",
"potion",
"elixir",
"elixir_of_life",
"philter, philtre, love-potion, love-philter, love-philtre",
"alcohol, alcoholic_drink, alcoholic_beverage, intoxicant, inebriant",
"proof_spirit",
"home_brew, homebrew",
"hooch, hootch",
"kava, kavakava",
"aperitif",
"brew, brewage",
"beer",
"draft_beer, draught_beer",
"suds",
"munich_beer, munchener",
"bock, bock_beer",
"lager, lager_beer",
"light_beer",
"oktoberfest, octoberfest",
"pilsner, pilsener",
"shebeen",
"weissbier, white_beer, wheat_beer",
"weizenbock",
"malt",
"wort",
"malt, malt_liquor",
"ale",
"bitter",
"burton",
"pale_ale",
"porter, porter's_beer",
"stout",
"guinness",
"kvass",
"mead",
"metheglin",
"hydromel",
"oenomel",
"near_beer",
"ginger_beer",
"sake, saki, rice_beer",
"wine, vino",
"vintage",
"red_wine",
"white_wine",
"blush_wine, pink_wine, rose, rose_wine",
"altar_wine, sacramental_wine",
"sparkling_wine",
"champagne, bubbly",
"cold_duck",
"burgundy, burgundy_wine",
"beaujolais",
"medoc",
"canary_wine",
"chablis, white_burgundy",
"montrachet",
"chardonnay, pinot_chardonnay",
"pinot_noir",
"pinot_blanc",
"bordeaux, bordeaux_wine",
"claret, red_bordeaux",
"chianti",
"cabernet, cabernet_sauvignon",
"merlot",
"sauvignon_blanc",
"california_wine",
"cotes_de_provence",
"dessert_wine",
"dubonnet",
"jug_wine",
"macon, maconnais",
"moselle",
"muscadet",
"plonk",
"retsina",
"rhine_wine, rhenish, hock",
"riesling",
"liebfraumilch",
"rhone_wine",
"rioja",
"sack",
"saint_emilion",
"soave",
"zinfandel",
"sauterne, sauternes",
"straw_wine",
"table_wine",
"tokay",
"vin_ordinaire",
"vermouth",
"sweet_vermouth, italian_vermouth",
"dry_vermouth, french_vermouth",
"chenin_blanc",
"verdicchio",
"vouvray",
"yquem",
"generic, generic_wine",
"varietal, varietal_wine",
"fortified_wine",
"madeira",
"malmsey",
"port, port_wine",
"sherry",
"marsala",
"muscat, muscatel, muscadel, muscadelle",
"liquor, spirits, booze, hard_drink, hard_liquor, john_barleycorn, strong_drink",
"neutral_spirits, ethyl_alcohol",
"aqua_vitae, ardent_spirits",
"eau_de_vie",
"moonshine, bootleg, corn_liquor",
"bathtub_gin",
"aquavit, akvavit",
"arrack, arak",
"bitters",
"brandy",
"applejack",
"calvados",
"armagnac",
"cognac",
"grappa",
"kirsch",
"slivovitz",
"gin",
"sloe_gin",
"geneva, holland_gin, hollands",
"grog",
"ouzo",
"rum",
"demerara, demerara_rum",
"jamaica_rum",
"schnapps, schnaps",
"pulque",
"mescal",
"tequila",
"vodka",
"whiskey, whisky",
"blended_whiskey, blended_whisky",
"bourbon",
"corn_whiskey, corn_whisky, corn",
"firewater",
"irish, irish_whiskey, irish_whisky",
"poteen",
"rye, rye_whiskey, rye_whisky",
"scotch, scotch_whiskey, scotch_whisky, malt_whiskey, malt_whisky, scotch_malt_whiskey, scotch_malt_whisky",
"sour_mash, sour_mash_whiskey",
"liqueur, cordial",
"absinth, absinthe",
"amaretto",
"anisette, anisette_de_bordeaux",
"benedictine",
"chartreuse",
"coffee_liqueur",
"creme_de_cacao",
"creme_de_menthe",
"creme_de_fraise",
"drambuie",
"galliano",
"orange_liqueur",
"curacao, curacoa",
"triple_sec",
"grand_marnier",
"kummel",
"maraschino, maraschino_liqueur",
"pastis",
"pernod",
"pousse-cafe",
"kahlua",
"ratafia, ratafee",
"sambuca",
"mixed_drink",
"cocktail",
"dom_pedro",
"highball",
"mixer",
"bishop",
"bloody_mary",
"virgin_mary, bloody_shame",
"bullshot",
"cobbler",
"collins, tom_collins",
"cooler",
"refresher",
"smoothie",
"daiquiri, rum_cocktail",
"strawberry_daiquiri",
"nada_daiquiri",
"spritzer",
"flip",
"gimlet",
"gin_and_tonic",
"grasshopper",
"harvey_wallbanger",
"julep, mint_julep",
"manhattan",
"rob_roy",
"margarita",
"martini",
"gin_and_it",
"vodka_martini",
"old_fashioned",
"pink_lady",
"sazerac",
"screwdriver",
"sidecar",
"scotch_and_soda",
"sling",
"brandy_sling",
"gin_sling",
"rum_sling",
"sour",
"whiskey_sour, whisky_sour",
"stinger",
"swizzle",
"hot_toddy, toddy",
"zombie, zombi",
"fizz",
"irish_coffee",
"cafe_au_lait",
"cafe_noir, demitasse",
"decaffeinated_coffee, decaf",
"drip_coffee",
"espresso",
"caffe_latte, latte",
"cappuccino, cappuccino_coffee, coffee_cappuccino",
"iced_coffee, ice_coffee",
"instant_coffee",
"mocha, mocha_coffee",
"mocha",
"cassareep",
"turkish_coffee",
"chocolate_milk",
"cider, cyder",
"hard_cider",
"scrumpy",
"sweet_cider",
"mulled_cider",
"perry",
"rotgut",
"slug",
"cocoa, chocolate, hot_chocolate, drinking_chocolate",
"criollo",
"juice",
"fruit_juice, fruit_crush",
"nectar",
"apple_juice",
"cranberry_juice",
"grape_juice",
"must",
"grapefruit_juice",
"orange_juice",
"frozen_orange_juice, orange-juice_concentrate",
"pineapple_juice",
"lemon_juice",
"lime_juice",
"papaya_juice",
"tomato_juice",
"carrot_juice",
"v-8_juice",
"koumiss, kumis",
"fruit_drink, ade",
"lemonade",
"limeade",
"orangeade",
"malted_milk",
"mate",
"mulled_wine",
"negus",
"soft_drink",
"pop, soda, soda_pop, soda_water, tonic",
"birch_beer",
"bitter_lemon",
"cola, dope",
"cream_soda",
"egg_cream",
"ginger_ale, ginger_pop",
"orange_soda",
"phosphate",
"coca_cola, coke",
"pepsi, pepsi_cola",
"root_beer",
"sarsaparilla",
"tonic, tonic_water, quinine_water",
"coffee_bean, coffee_berry, coffee",
"coffee, java",
"cafe_royale, coffee_royal",
"fruit_punch",
"milk_punch",
"mimosa, buck's_fizz",
"pina_colada",
"punch",
"cup",
"champagne_cup",
"claret_cup",
"wassail",
"planter's_punch",
"white_russian",
"fish_house_punch",
"may_wine",
"eggnog",
"cassiri",
"spruce_beer",
"rickey",
"gin_rickey",
"tea, tea_leaf",
"tea_bag",
"tea",
"tea-like_drink",
"cambric_tea",
"cuppa, cupper",
"herb_tea, herbal_tea, herbal",
"tisane",
"camomile_tea",
"ice_tea, iced_tea",
"sun_tea",
"black_tea",
"congou, congo, congou_tea, english_breakfast_tea",
"darjeeling",
"orange_pekoe, pekoe",
"souchong, soochong",
"green_tea",
"hyson",
"oolong",
"water",
"bottled_water",
"branch_water",
"spring_water",
"sugar_water",
"drinking_water",
"ice_water",
"soda_water, carbonated_water, club_soda, seltzer, sparkling_water",
"mineral_water",
"seltzer",
"vichy_water",
"perishable, spoilable",
"couscous",
"ramekin, ramequin",
"multivitamin, multivitamin_pill",
"vitamin_pill",
"soul_food",
"mold, mould",
"people",
"collection, aggregation, accumulation, assemblage",
"book, rule_book",
"library",
"baseball_club, ball_club, club, nine",
"crowd",
"class, form, grade, course",
"core, nucleus, core_group",
"concert_band, military_band",
"dance",
"wedding, wedding_party",
"chain, concatenation",
"power_breakfast",
"aerie, aery, eyrie, eyry",
"agora",
"amusement_park, funfair, pleasure_ground",
"aphelion",
"apron",
"interplanetary_space",
"interstellar_space",
"intergalactic_space",
"bush",
"semidesert",
"beam-ends",
"bridgehead",
"bus_stop",
"campsite, campground, camping_site, camping_ground, bivouac, encampment, camping_area",
"detention_basin",
"cemetery, graveyard, burial_site, burial_ground, burying_ground, memorial_park, necropolis",
"trichion, crinion",
"city, metropolis, urban_center",
"business_district, downtown",
"outskirts",
"borough",
"cow_pasture",
"crest",
"eparchy, exarchate",
"suburb, suburbia, suburban_area",
"stockbroker_belt",
"crawlspace, crawl_space",
"sheikdom, sheikhdom",
"residence, abode",
"domicile, legal_residence",
"dude_ranch",
"farmland, farming_area",
"midfield",
"firebreak, fireguard",
"flea_market",
"battlefront, front, front_line",
"garbage_heap, junk_heap, rubbish_heap, scrapheap, trash_heap, junk_pile, trash_pile, refuse_heap",
"benthos, benthic_division, benthonic_zone",
"goldfield",
"grainfield, grain_field",
"half-mast, half-staff",
"hemline",
"heronry",
"hipline",
"hipline",
"hole-in-the-wall",
"junkyard",
"isoclinic_line, isoclinal",
"littoral, litoral, littoral_zone, sands",
"magnetic_pole",
"grassland",
"mecca",
"observer's_meridian",
"prime_meridian",
"nombril",
"no-parking_zone",
"outdoors, out-of-doors, open_air, open",
"fairground",
"pasture, pastureland, grazing_land, lea, ley",
"perihelion",
"periselene, perilune",
"locus_of_infection",
"kasbah, casbah",
"waterfront",
"resort, resort_hotel, holiday_resort",
"resort_area, playground, vacation_spot",
"rough",
"ashram",
"harborage, harbourage",
"scrubland",
"weald",
"wold",
"schoolyard",
"showplace",
"bedside",
"sideline, out_of_bounds",
"ski_resort",
"soil_horizon",
"geological_horizon",
"coal_seam",
"coalface",
"field",
"oilfield",
"temperate_zone",
"terreplein",
"three-mile_limit",
"desktop",
"top",
"kampong, campong",
"subtropics, semitropics",
"barrio",
"veld, veldt",
"vertex, peak, apex, acme",
"waterline, water_line, water_level",
"high-water_mark",
"low-water_mark",
"continental_divide",
"zodiac",
"aegean_island",
"sultanate",
"swiss_canton",
"abyssal_zone",
"aerie, aery, eyrie, eyry",
"air_bubble",
"alluvial_flat, alluvial_plain",
"alp",
"alpine_glacier, alpine_type_of_glacier",
"anthill, formicary",
"aquifer",
"archipelago",
"arete",
"arroyo",
"ascent, acclivity, rise, raise, climb, upgrade",
"asterism",
"asthenosphere",
"atoll",
"bank",
"bank",
"bar",
"barbecue_pit",
"barrier_reef",
"baryon, heavy_particle",
"basin",
"beach",
"honeycomb",
"belay",
"ben",
"berm",
"bladder_stone, cystolith",
"bluff",
"borrow_pit",
"brae",
"bubble",
"burrow, tunnel",
"butte",
"caldera",
"canyon, canon",
"canyonside",
"cave",
"cavern",
"chasm",
"cirque, corrie, cwm",
"cliff, drop, drop-off",
"cloud",
"coast",
"coastland",
"col, gap",
"collector",
"comet",
"continental_glacier",
"coral_reef",
"cove",
"crag",
"crater",
"cultivated_land, farmland, plowland, ploughland, tilled_land, tillage, tilth",
"dale",
"defile, gorge",
"delta",
"descent, declivity, fall, decline, declination, declension, downslope",
"diapir",
"divot",
"divot",
"down",
"downhill",
"draw",
"drey",
"drumlin",
"dune, sand_dune",
"escarpment, scarp",
"esker",
"fireball",
"flare_star",
"floor",
"fomite, vehicle",
"foothill",
"footwall",
"foreland",
"foreshore",
"gauge_boson",
"geological_formation, formation",
"geyser",
"glacier",
"glen",
"gopher_hole",
"gorge",
"grotto, grot",
"growler",
"gulch, flume",
"gully",
"hail",
"highland, upland",
"hill",
"hillside",
"hole, hollow",
"hollow, holler",
"hot_spring, thermal_spring",
"iceberg, berg",
"icecap, ice_cap",
"ice_field",
"ice_floe, floe",
"ice_mass",
"inclined_fault",
"ion",
"isthmus",
"kidney_stone, urinary_calculus, nephrolith, renal_calculus",
"knoll, mound, hillock, hummock, hammock",
"kopje, koppie",
"kuiper_belt, edgeworth-kuiper_belt",
"lake_bed, lake_bottom",
"lakefront",
"lakeside, lakeshore",
"landfall",
"landfill",
"lather",
"leak",
"ledge, shelf",
"lepton",
"lithosphere, geosphere",
"lowland",
"lunar_crater",
"maar",
"massif",
"meander",
"mesa, table",
"meteorite",
"microfossil",
"midstream",
"molehill",
"monocline",
"mountain, mount",
"mountainside, versant",
"mouth",
"mull",
"natural_depression, depression",
"natural_elevation, elevation",
"nullah",
"ocean",
"ocean_floor, sea_floor, ocean_bottom, seabed, sea_bottom, davy_jones's_locker, davy_jones",
"oceanfront",
"outcrop, outcropping, rock_outcrop",
"oxbow",
"pallasite",
"perforation",
"photosphere",
"piedmont",
"piedmont_glacier, piedmont_type_of_glacier",
"pinetum",
"plage",
"plain, field, champaign",
"point",
"polar_glacier",
"pothole, chuckhole",
"precipice",
"promontory, headland, head, foreland",
"ptyalith",
"pulsar",
"quicksand",
"rabbit_burrow, rabbit_hole",
"radiator",
"rainbow",
"range, mountain_range, range_of_mountains, chain, mountain_chain, chain_of_mountains",
"rangeland",
"ravine",
"reef",
"ridge",
"ridge, ridgeline",
"rift_valley",
"riparian_forest",
"ripple_mark",
"riverbank, riverside",
"riverbed, river_bottom",
"rock, stone",
"roof",
"saltpan",
"sandbank",
"sandbar, sand_bar",
"sandpit",
"sanitary_landfill",
"sawpit",
"scablands",
"seashore, coast, seacoast, sea-coast",
"seaside, seaboard",
"seif_dune",
"shell",
"shiner",
"shoal",
"shore",
"shoreline",
"sinkhole, sink, swallow_hole",
"ski_slope",
"sky",
"slope, incline, side",
"snowcap",
"snowdrift",
"snowfield",
"soapsuds, suds, lather",
"spit, tongue",
"spoor",
"spume",
"star",
"steep",
"steppe",
"strand",
"streambed, creek_bed",
"sun, sun",
"supernova",
"swale",
"swamp, swampland",
"swell",
"tableland, plateau",
"talus, scree",
"tangle",
"tar_pit",
"terrace, bench",
"tidal_basin",
"tideland",
"tor",
"tor",
"trapezium",
"troposphere",
"tundra",
"twinkler",
"uphill",
"urolith",
"valley, vale",
"vehicle-borne_transmission",
"vein, mineral_vein",
"volcanic_crater, crater",
"volcano",
"wadi",
"wall",
"warren, rabbit_warren",
"wasp's_nest, wasps'_nest, hornet's_nest, hornets'_nest",
"watercourse",
"waterside",
"water_table, water_level, groundwater_level",
"whinstone, whin",
"wormcast",
"xenolith",
"circe",
"gryphon, griffin, griffon",
"spiritual_leader",
"messiah, christ",
"rhea_silvia, rea_silvia",
"number_one",
"adventurer, venturer",
"anomaly, unusual_person",
"appointee, appointment",
"argonaut",
"ashkenazi",
"benefactor, helper",
"color-blind_person",
"commoner, common_man, common_person",
"conservator",
"contrarian",
"contadino",
"contestant",
"cosigner, cosignatory",
"discussant",
"enologist, oenologist, fermentologist",
"entertainer",
"eulogist, panegyrist",
"ex-gambler",
"experimenter",
"experimenter",
"exponent",
"ex-president",
"face",
"female, female_person",
"finisher",
"inhabitant, habitant, dweller, denizen, indweller",
"native, indigen, indigene, aborigine, aboriginal",
"native",
"juvenile, juvenile_person",
"lover",
"male, male_person",
"mediator, go-between, intermediator, intermediary, intercessor",
"mediatrix",
"national, subject",
"peer, equal, match, compeer",
"prize_winner, lottery_winner",
"recipient, receiver",
"religionist",
"sensualist",
"traveler, traveller",
"unwelcome_person, persona_non_grata",
"unskilled_person",
"worker",
"wrongdoer, offender",
"black_african",
"afrikaner, afrikander, boer",
"aryan",
"black, black_person, blackamoor, negro, negroid",
"black_woman",
"mulatto",
"white, white_person, caucasian",
"circassian",
"semite",
"chaldean, chaldaean, chaldee",
"elamite",
"white_man",
"wasp, white_anglo-saxon_protestant",
"gook, slant-eye",
"mongol, mongolian",
"tatar, tartar, mongol_tatar",
"nahuatl",
"aztec",
"olmec",
"biloxi",
"blackfoot",
"brule",
"caddo",
"cheyenne",
"chickasaw",
"cocopa, cocopah",
"comanche",
"creek",
"delaware",
"diegueno",
"esselen",
"eyeish",
"havasupai",
"hunkpapa",
"iowa, ioway",
"kalapooia, kalapuya, calapooya, calapuya",
"kamia",
"kekchi",
"kichai",
"kickapoo",
"kiliwa, kiliwi",
"malecite",
"maricopa",
"mohican, mahican",
"muskhogean, muskogean",
"navaho, navajo",
"nootka",
"oglala, ogalala",
"osage",
"oneida",
"paiute, piute",
"passamaquody",
"penobscot",
"penutian",
"potawatomi",
"powhatan",
"kachina",
"salish",
"shahaptian, sahaptin, sahaptino",
"shasta",
"shawnee",
"sihasapa",
"teton, lakota, teton_sioux, teton_dakota",
"taracahitian",
"tarahumara",
"tuscarora",
"tutelo",
"yana",
"yavapai",
"yokuts",
"yuma",
"gadaba",
"kolam",
"kui",
"toda",
"tulu",
"gujarati, gujerati",
"kashmiri",
"punjabi, panjabi",
"slav",
"anabaptist",
"adventist, second_adventist",
"gentile, non-jew, goy",
"gentile",
"catholic",
"old_catholic",
"uniat, uniate, uniate_christian",
"copt",
"jewess",
"jihadist",
"buddhist",
"zen_buddhist",
"mahayanist",
"swami",
"hare_krishna",
"shintoist",
"eurafrican",
"eurasian",
"gael",
"frank",
"afghan, afghanistani",
"albanian",
"algerian",
"altaic",
"andorran",
"angolan",
"anguillan",
"austrian",
"bahamian",
"bahraini, bahreini",
"basotho",
"herero",
"luba, chiluba",
"barbadian",
"bolivian",
"bornean",
"carioca",
"tupi",
"bruneian",
"bulgarian",
"byelorussian, belorussian, white_russian",
"cameroonian",
"canadian",
"french_canadian",
"central_american",
"chilean",
"congolese",
"cypriot, cypriote, cyprian",
"dane",
"djiboutian",
"britisher, briton, brit",
"english_person",
"englishwoman",
"anglo-saxon",
"angle",
"west_saxon",
"lombard, langobard",
"limey, john_bull",
"cantabrigian",
"cornishman",
"cornishwoman",
"lancastrian",
"lancastrian",
"geordie",
"oxonian",
"ethiopian",
"amhara",
"eritrean",
"finn",
"komi",
"livonian",
"lithuanian",
"selkup, ostyak-samoyed",
"parisian",
"parisienne",
"creole",
"creole",
"gabonese",
"greek, hellene",
"dorian",
"athenian",
"laconian",
"guyanese",
"haitian",
"malay, malayan",
"moro",
"netherlander, dutchman, hollander",
"icelander",
"iraqi, iraki",
"irishman",
"irishwoman",
"dubliner",
"italian",
"roman",
"sabine",
"japanese, nipponese",
"jordanian",
"korean",
"kenyan",
"lao, laotian",
"lapp, lapplander, sami, saami, same, saame",
"latin_american, latino",
"lebanese",
"levantine",
"liberian",
"luxemburger, luxembourger",
"macedonian",
"sabahan",
"mexican",
"chicano",
"mexican-american, mexicano",
"namibian",
"nauruan",
"gurkha",
"new_zealander, kiwi",
"nicaraguan",
"nigerian",
"hausa, haussa",
"north_american",
"nova_scotian, bluenose",
"omani",
"pakistani",
"brahui",
"south_american_indian",
"carib, carib_indian",
"filipino",
"polynesian",
"qatari, katari",
"romanian, rumanian",
"muscovite",
"georgian",
"sarawakian",
"scandinavian, norse, northman",
"senegalese",
"slovene",
"south_african",
"south_american",
"sudanese",
"syrian",
"tahitian",
"tanzanian",
"tibetan",
"togolese",
"tuareg",
"turki",
"chuvash",
"turkoman, turkmen, turcoman",
"uzbek, uzbeg, uzbak, usbek, usbeg",
"ugandan",
"ukranian",
"yakut",
"tungus, evenk",
"igbo",
"american",
"anglo-american",
"alaska_native, alaskan_native, native_alaskan",
"arkansan, arkansawyer",
"carolinian",
"coloradan",
"connecticuter",
"delawarean, delawarian",
"floridian",
"german_american",
"illinoisan",
"mainer, down_easter",
"marylander",
"minnesotan, gopher",
"nebraskan, cornhusker",
"new_hampshirite, granite_stater",
"new_jerseyan, new_jerseyite, garden_stater",
"new_yorker",
"north_carolinian, tarheel",
"oregonian, beaver",
"pennsylvanian, keystone_stater",
"texan",
"utahan",
"uruguayan",
"vietnamese, annamese",
"gambian",
"east_german",
"berliner",
"prussian",
"ghanian",
"guinean",
"papuan",
"walloon",
"yemeni",
"yugoslav, jugoslav, yugoslavian, jugoslavian",
"serbian, serb",
"xhosa",
"zairese, zairean",
"zimbabwean",
"zulu",
"gemini, twin",
"sagittarius, archer",
"pisces, fish",
"abbe",
"abbess, mother_superior, prioress",
"abnegator",
"abridger, abbreviator",
"abstractor, abstracter",
"absconder",
"absolver",
"abecedarian",
"aberrant",
"abettor, abetter",
"abhorrer",
"abomination",
"abseiler, rappeller",
"abstainer, ascetic",
"academic_administrator",
"academician",
"accessory_before_the_fact",
"companion",
"accompanist, accompanyist",
"accomplice, confederate",
"account_executive, account_representative, registered_representative, customer's_broker, customer's_man",
"accused",
"accuser",
"acid_head",
"acquaintance, friend",
"acquirer",
"aerialist",
"action_officer",
"active",
"active_citizen",
"actor, histrion, player, thespian, role_player",
"actor, doer, worker",
"addict, nut, freak, junkie, junky",
"adducer",
"adjuster, adjustor, claims_adjuster, claims_adjustor, claim_agent",
"adjutant, aide, aide-de-camp",
"adjutant_general",
"admirer, adorer",
"adoptee",
"adulterer, fornicator",
"adulteress, fornicatress, hussy, jade, loose_woman, slut, strumpet, trollop",
"advertiser, advertizer, adman",
"advisee",
"advocate, advocator, proponent, exponent",
"aeronautical_engineer",
"affiliate",
"affluent",
"aficionado",
"buck_sergeant",
"agent-in-place",
"aggravator, annoyance",
"agitator, fomenter",
"agnostic",
"agnostic, doubter",
"agonist",
"agony_aunt",
"agriculturist, agriculturalist, cultivator, grower, raiser",
"air_attache",
"air_force_officer, commander",
"airhead",
"air_traveler, air_traveller",
"alarmist",
"albino",
"alcoholic, alky, dipsomaniac, boozer, lush, soaker, souse",
"alderman",
"alexic",
"alienee, grantee",
"alienor",
"aliterate, aliterate_person",
"algebraist",
"allegorizer, allegoriser",
"alliterator",
"almoner, medical_social_worker",
"alpinist",
"altar_boy",
"alto",
"ambassador, embassador",
"ambassador",
"ambusher",
"amicus_curiae, friend_of_the_court",
"amoralist",
"amputee",
"analogist",
"analphabet, analphabetic",
"analyst",
"industry_analyst",
"market_strategist",
"anarchist, nihilist, syndicalist",
"anathema, bete_noire",
"ancestor, ascendant, ascendent, antecedent, root",
"anchor, anchorman, anchorperson",
"ancient",
"anecdotist, raconteur",
"angler, troller",
"animator",
"animist",
"annotator",
"announcer",
"announcer",
"anti",
"anti-american",
"anti-semite, jew-baiter",
"anzac",
"ape-man",
"aphakic",
"appellant, plaintiff_in_error",
"appointee",
"apprehender",
"april_fool",
"aspirant, aspirer, hopeful, wannabe, wannabee",
"appreciator",
"appropriator",
"arabist",
"archaist",
"archbishop",
"archer, bowman",
"architect, designer",
"archivist",
"archpriest, hierarch, high_priest, prelate, primate",
"aristotelian, aristotelean, peripatetic",
"armiger",
"army_attache",
"army_engineer, military_engineer",
"army_officer",
"arranger, adapter, transcriber",
"arrival, arriver, comer",
"arthritic",
"articulator",
"artilleryman, cannoneer, gunner, machine_gunner",
"artist's_model, sitter",
"assayer",
"assemblyman",
"assemblywoman",
"assenter",
"asserter, declarer, affirmer, asseverator, avower",
"assignee",
"assistant, helper, help, supporter",
"assistant_professor",
"associate",
"associate",
"associate_professor",
"astronaut, spaceman, cosmonaut",
"cosmographer, cosmographist",
"atheist",
"athlete, jock",
"attendant, attender, tender",
"attorney_general",
"auditor",
"augur, auspex",
"aunt, auntie, aunty",
"au_pair_girl",
"authoritarian, dictator",
"authority",
"authorizer, authoriser",
"automobile_mechanic, auto-mechanic, car-mechanic, mechanic, grease_monkey",
"aviator, aeronaut, airman, flier, flyer",
"aviatrix, airwoman, aviatress",
"ayah",
"babu, baboo",
"baby, babe, sister",
"baby",
"baby_boomer, boomer",
"baby_farmer",
"back",
"backbencher",
"backpacker, packer",
"backroom_boy, brain_truster",
"backscratcher",
"bad_person",
"baggage",
"bag_lady",
"bailee",
"bailiff",
"bailor",
"bairn",
"baker, bread_maker",
"balancer",
"balker, baulker, noncompliant",
"ball-buster, ball-breaker",
"ball_carrier, runner",
"ballet_dancer",
"ballet_master",
"ballet_mistress",
"balletomane",
"ball_hawk",
"balloonist",
"ballplayer, baseball_player",
"bullfighter, toreador",
"banderillero",
"matador",
"picador",
"bandsman",
"banker",
"bank_robber",
"bankrupt, insolvent",
"bantamweight",
"barmaid",
"baron, big_businessman, business_leader, king, magnate, mogul, power, top_executive, tycoon",
"baron",
"baron",
"bartender, barman, barkeep, barkeeper, mixologist",
"baseball_coach, baseball_manager",
"base_runner, runner",
"basketball_player, basketeer, cager",
"basketweaver, basketmaker",
"basket_maker",
"bass, basso",
"bastard, by-blow, love_child, illegitimate_child, illegitimate, whoreson",
"bat_boy",
"bather",
"batman",
"baton_twirler, twirler",
"bavarian",
"beadsman, bedesman",
"beard",
"beatnik, beat",
"beauty_consultant",
"bedouin, beduin",
"bedwetter, bed_wetter, wetter",
"beekeeper, apiarist, apiculturist",
"beer_drinker, ale_drinker",
"beggarman",
"beggarwoman",
"beldam, beldame",
"theist",
"believer, truster",
"bell_founder",
"benedick, benedict",
"berserker, berserk",
"besieger",
"best, topper",
"betrothed",
"big_brother",
"bigot",
"big_shot, big_gun, big_wheel, big_cheese, big_deal, big_enchilada, big_fish, head_honcho",
"big_sister",
"billiard_player",
"biochemist",
"biographer",
"bird_fancier",
"birth",
"birth-control_campaigner, birth-control_reformer",
"bisexual, bisexual_person",
"black_belt",
"blackmailer, extortioner, extortionist",
"black_muslim",
"blacksmith",
"blade",
"blind_date",
"bluecoat",
"bluestocking, bas_bleu",
"boatbuilder",
"boatman, boater, waterman",
"boatswain, bos'n, bo's'n, bosun, bo'sun",
"bobby",
"bodyguard, escort",
"boffin",
"bolshevik, marxist, red, bolshie, bolshy",
"bolshevik, bolshevist",
"bombshell",
"bondman, bondsman",
"bondwoman, bondswoman, bondmaid",
"bondwoman, bondswoman, bondmaid",
"bond_servant",
"book_agent",
"bookbinder",
"bookkeeper",
"bookmaker",
"bookworm",
"booster, shoplifter, lifter",
"bootblack, shoeblack",
"bootlegger, moonshiner",
"bootmaker, boot_maker",
"borderer",
"border_patrolman",
"botanist, phytologist, plant_scientist",
"bottom_feeder",
"boulevardier",
"bounty_hunter",
"bounty_hunter",
"bourbon",
"bowler",
"slugger, slogger",
"cub, lad, laddie, sonny, sonny_boy",
"boy_scout",
"boy_scout",
"boy_wonder",
"bragger, braggart, boaster, blowhard, line-shooter, vaunter",
"brahman, brahmin",
"brawler",
"breadwinner",
"breaststroker",
"breeder, stock_breeder",
"brick",
"bride",
"bridesmaid, maid_of_honor",
"bridge_agent",
"broadcast_journalist",
"brother",
"brother-in-law",
"browser",
"brummie, brummy",
"buddy, brother, chum, crony, pal, sidekick",
"bull",
"bully",
"bunny, bunny_girl",
"burglar",
"bursar",
"busboy, waiter's_assistant",
"business_editor",
"business_traveler",
"buster",
"busybody, nosy-parker, nosey-parker, quidnunc",
"buttinsky",
"cabinetmaker, furniture_maker",
"caddie, golf_caddie",
"cadet, plebe",
"caller, caller-out",
"call_girl",
"calligrapher, calligraphist",
"campaigner, candidate, nominee",
"camper",
"camp_follower",
"candidate, prospect",
"canonist",
"capitalist",
"captain, headwaiter, maitre_d'hotel, maitre_d'",
"captain, senior_pilot",
"captain",
"captain, chieftain",
"captive",
"captive",
"cardinal",
"cardiologist, heart_specialist, heart_surgeon",
"card_player",
"cardsharp, card_sharp, cardsharper, card_sharper, sharper, sharpie, sharpy, card_shark",
"careerist",
"career_man",
"caregiver",
"caretaker",
"caretaker",
"caricaturist",
"carillonneur",
"caroler, caroller",
"carpenter",
"carper, niggler",
"cartesian",
"cashier",
"casualty, injured_party",
"casualty",
"casuist, sophist",
"catechist",
"catechumen, neophyte",
"caterer",
"catholicos",
"cat_fancier",
"cavalier, royalist",
"cavalryman, trooper",
"caveman, cave_man, cave_dweller, troglodyte",
"celebrant",
"celebrant, celebrator, celebrater",
"celebrity, famous_person",
"cellist, violoncellist",
"censor",
"censor",
"centenarian",
"centrist, middle_of_the_roader, moderate, moderationist",
"centurion",
"certified_public_accountant, cpa",
"chachka, tsatske, tshatshke, tchotchke, tchotchkeleh",
"chambermaid, fille_de_chambre",
"chameleon",
"champion, champ, title-holder",
"chandler",
"prison_chaplain",
"charcoal_burner",
"charge_d'affaires",
"charioteer",
"charmer, beguiler",
"chartered_accountant",
"chartist, technical_analyst",
"charwoman, char, cleaning_woman, cleaning_lady, woman",
"male_chauvinist, sexist",
"cheapskate, tightwad",
"chechen",
"checker",
"cheerer",
"cheerleader",
"cheerleader",
"cheops, khufu",
"chess_master",
"chief_executive_officer, ceo, chief_operating_officer",
"chief_of_staff",
"chief_petty_officer",
"chief_secretary",
"child, kid, youngster, minor, shaver, nipper, small_fry, tiddler, tike, tyke, fry, nestling",
"child, kid",
"child, baby",
"child_prodigy, infant_prodigy, wonder_child",
"chimneysweeper, chimneysweep, sweep",
"chiropractor",
"chit",
"choker",
"choragus",
"choreographer",
"chorus_girl, showgirl, chorine",
"chosen",
"cicerone",
"cigar_smoker",
"cipher, cypher, nobody, nonentity",
"circus_acrobat",
"citizen",
"city_editor",
"city_father",
"city_man",
"city_slicker, city_boy",
"civic_leader, civil_leader",
"civil_rights_leader, civil_rights_worker, civil_rights_activist",
"cleaner",
"clergyman, reverend, man_of_the_cloth",
"cleric, churchman, divine, ecclesiastic",
"clerk",
"clever_dick, clever_clogs",
"climatologist",
"climber",
"clinician",
"closer, finisher",
"closet_queen",
"clown, buffoon, goof, goofball, merry_andrew",
"clown, buffoon",
"coach, private_instructor, tutor",
"coach, manager, handler",
"pitching_coach",
"coachman",
"coal_miner, collier, pitman",
"coastguardsman",
"cobber",
"cobbler, shoemaker",
"codger, old_codger",
"co-beneficiary",
"cog",
"cognitive_neuroscientist",
"coiffeur",
"coiner",
"collaborator, cooperator, partner, pardner",
"colleen",
"college_student, university_student",
"collegian, college_man, college_boy",
"colonial",
"colonialist",
"colonizer, coloniser",
"coloratura, coloratura_soprano",
"color_guard",
"colossus, behemoth, giant, heavyweight, titan",
"comedian",
"comedienne",
"comer",
"commander",
"commander_in_chief, generalissimo",
"commanding_officer, commandant, commander",
"commissar, political_commissar",
"commissioned_officer",
"commissioned_military_officer",
"commissioner",
"commissioner",
"committee_member",
"committeewoman",
"commodore",
"communicant",
"communist, commie",
"communist",
"commuter",
"compere",
"complexifier",
"compulsive",
"computational_linguist",
"computer_scientist",
"computer_user",
"comrade",
"concert-goer, music_lover",
"conciliator, make-peace, pacifier, peacemaker, reconciler",
"conductor",
"confectioner, candymaker",
"confederate",
"confessor",
"confidant, intimate",
"confucian, confucianist",
"rep",
"conqueror, vanquisher",
"conservative",
"nonconformist, chapelgoer",
"anglican",
"consignee",
"consigner, consignor",
"constable",
"constructivist",
"contractor",
"contralto",
"contributor",
"control_freak",
"convalescent",
"convener",
"convict, con, inmate, yard_bird, yardbird",
"copilot, co-pilot",
"copycat, imitator, emulator, ape, aper",
"coreligionist",
"cornerback",
"corporatist",
"correspondent, letter_writer",
"cosmetician",
"cosmopolitan, cosmopolite",
"cossack",
"cost_accountant",
"co-star",
"costumier, costumer, costume_designer",
"cotter, cottier",
"cotter, cottar",
"counselor, counsellor",
"counterterrorist",
"counterspy, mole",
"countess",
"compromiser",
"countrywoman",
"county_agent, agricultural_agent, extension_agent",
"courtier",
"cousin, first_cousin, cousin-german, full_cousin",
"cover_girl, pin-up, lovely",
"cow",
"craftsman, artisan, journeyman, artificer",
"craftsman, crafter",
"crapshooter",
"crazy, loony, looney, nutcase, weirdo",
"creature, wight",
"creditor",
"creep, weirdo, weirdie, weirdy, spook",
"criminologist",
"critic",
"croesus",
"cross-examiner, cross-questioner",
"crossover_voter, crossover",
"croupier",
"crown_prince",
"crown_princess",
"cryptanalyst, cryptographer, cryptologist",
"cub_scout",
"cuckold",
"cultist",
"curandera",
"curate, minister_of_religion, minister, parson, pastor, rector",
"curator, conservator",
"customer_agent",
"cutter, carver",
"cyberpunk",
"cyborg, bionic_man, bionic_woman",
"cymbalist",
"cynic",
"cytogeneticist",
"cytologist",
"czar",
"czar, tsar, tzar",
"dad, dada, daddy, pa, papa, pappa, pop",
"dairyman",
"dalai_lama, grand_lama",
"dallier, dillydallier, dilly-dallier, mope, lounger",
"dancer, professional_dancer, terpsichorean",
"dancer, social_dancer",
"clog_dancer",
"dancing-master, dance_master",
"dark_horse",
"darling, favorite, favourite, pet, dearie, deary, ducky",
"date, escort",
"daughter, girl",
"dawdler, drone, laggard, lagger, trailer, poke",
"day_boarder",
"day_laborer, day_labourer",
"deacon, protestant_deacon",
"deaconess",
"deadeye",
"deipnosophist",
"dropout",
"deadhead",
"deaf_person",
"debtor, debitor",
"deckhand, roustabout",
"defamer, maligner, slanderer, vilifier, libeler, backbiter, traducer",
"defense_contractor",
"deist, freethinker",
"delegate",
"deliveryman, delivery_boy, deliverer",
"demagogue, demagog, rabble-rouser",
"demigod, superman, ubermensch",
"demographer, demographist, population_scientist",
"demonstrator, protester",
"den_mother",
"department_head",
"depositor",
"deputy",
"dermatologist, skin_doctor",
"descender",
"designated_hitter",
"designer, intriguer",
"desk_clerk, hotel_desk_clerk, hotel_clerk",
"desk_officer",
"desk_sergeant, deskman, station_keeper",
"detainee, political_detainee",
"detective, investigator, tec, police_detective",
"detective",
"detractor, disparager, depreciator, knocker",
"developer",
"deviationist",
"devisee",
"devisor",
"devourer",
"dialectician",
"diarist, diary_keeper, journalist",
"dietician, dietitian, nutritionist",
"diocesan",
"director, theater_director, theatre_director",
"director",
"dirty_old_man",
"disbeliever, nonbeliever, unbeliever",
"disk_jockey, disc_jockey, dj",
"dispatcher",
"distortionist",
"distributor, distributer",
"district_attorney, da",
"district_manager",
"diver, plunger",
"divorcee, grass_widow",
"ex-wife, ex",
"divorce_lawyer",
"docent",
"doctor, doc, physician, md, dr., medico",
"dodo, fogy, fogey, fossil",
"doge",
"dog_in_the_manger",
"dogmatist, doctrinaire",
"dolichocephalic",
"domestic_partner, significant_other, spousal_equivalent, spouse_equivalent",
"dominican",
"dominus, dominie, domine, dominee",
"don, father",
"donatist",
"donna",
"dosser, street_person",
"double, image, look-alike",
"double-crosser, double-dealer, two-timer, betrayer, traitor",
"down-and-out",
"doyenne",
"draftsman, drawer",
"dramatist, playwright",
"dreamer",
"dressmaker, modiste, needlewoman, seamstress, sempstress",
"dressmaker's_model",
"dribbler, driveller, slobberer, drooler",
"dribbler",
"drinker, imbiber, toper, juicer",
"drinker",
"drug_addict, junkie, junky",
"drug_user, substance_abuser, user",
"druid",
"drum_majorette, majorette",
"drummer",
"drunk",
"drunkard, drunk, rummy, sot, inebriate, wino",
"druze, druse",
"dry, prohibitionist",
"dry_nurse",
"duchess",
"duke",
"duffer",
"dunker",
"dutch_uncle",
"dyspeptic",
"eager_beaver, busy_bee, live_wire, sharpie, sharpy",
"earl",
"earner, wage_earner",
"eavesdropper",
"eccentric, eccentric_person, flake, oddball, geek",
"eclectic, eclecticist",
"econometrician, econometrist",
"economist, economic_expert",
"ectomorph",
"editor, editor_in_chief",
"egocentric, egoist",
"egotist, egoist, swellhead",
"ejaculator",
"elder",
"elder_statesman",
"elected_official",
"electrician, lineman, linesman",
"elegist",
"elocutionist",
"emancipator, manumitter",
"embryologist",
"emeritus",
"emigrant, emigre, emigree, outgoer",
"emissary, envoy",
"empress",
"employee",
"employer",
"enchantress, witch",
"enchantress, temptress, siren, delilah, femme_fatale",
"encyclopedist, encyclopaedist",
"endomorph",
"enemy, foe, foeman, opposition",
"energizer, energiser, vitalizer, vitaliser, animator",
"end_man",
"end_man, corner_man",
"endorser, indorser",
"enjoyer",
"enlisted_woman",
"enophile, oenophile",
"entrant",
"entrant",
"entrepreneur, enterpriser",
"envoy, envoy_extraordinary, minister_plenipotentiary",
"enzymologist",
"eparch",
"epidemiologist",
"epigone, epigon",
"epileptic",
"episcopalian",
"equerry",
"equerry",
"erotic",
"escapee",
"escapist, dreamer, wishful_thinker",
"eskimo, esquimau, inuit",
"espionage_agent",
"esthetician, aesthetician",
"etcher",
"ethnologist",
"etonian",
"etymologist",
"evangelist, revivalist, gospeler, gospeller",
"evangelist",
"event_planner",
"examiner, inspector",
"examiner, tester, quizzer",
"exarch",
"executant",
"executive_secretary",
"executive_vice_president",
"executrix",
"exegete",
"exhibitor, exhibitioner, shower",
"exhibitionist, show-off",
"exile, expatriate, expat",
"existentialist, existentialist_philosopher, existential_philosopher",
"exorcist, exorciser",
"ex-spouse",
"extern, medical_extern",
"extremist",
"extrovert, extravert",
"eyewitness",
"facilitator",
"fairy_godmother",
"falangist, phalangist",
"falconer, hawker",
"falsifier",
"familiar",
"fan, buff, devotee, lover",
"fanatic, fiend",
"fancier, enthusiast",
"farm_boy",
"farmer, husbandman, granger, sodbuster",
"farmhand, fieldhand, field_hand, farm_worker",
"fascist",
"fascista",
"fatalist, determinist, predestinarian, predestinationist",
"father, male_parent, begetter",
"father, padre",
"father-figure",
"father-in-law",
"fauntleroy, little_lord_fauntleroy",
"fauve, fauvist",
"favorite_son",
"featherweight",
"federalist",
"fellow_traveler, fellow_traveller",
"female_aristocrat",
"female_offspring",
"female_child, girl, little_girl",
"fence",
"fiance, groom-to-be",
"fielder, fieldsman",
"field_judge",
"fighter_pilot",
"filer",
"film_director, director",
"finder",
"fire_chief, fire_marshal",
"fire-eater, fire-swallower",
"fire-eater, hothead",
"fireman, firefighter, fire_fighter, fire-eater",
"fire_marshall",
"fire_walker",
"first_baseman, first_sacker",
"firstborn, eldest",
"first_lady",
"first_lieutenant, 1st_lieutenant",
"first_offender",
"first_sergeant, sergeant_first_class",
"fishmonger, fishwife",
"flagellant",
"flag_officer",
"flak_catcher, flak, flack_catcher, flack",
"flanker_back, flanker",
"flapper",
"flatmate",
"flatterer, adulator",
"flibbertigibbet, foolish_woman",
"flight_surgeon",
"floorwalker, shopwalker",
"flop, dud, washout",
"florentine",
"flower_girl",
"flower_girl",
"flutist, flautist, flute_player",
"fly-by-night",
"flyweight",
"flyweight",
"foe, enemy",
"folk_dancer",
"folk_poet",
"follower",
"football_hero",
"football_player, footballer",
"footman",
"forefather, father, sire",
"foremother",
"foreign_agent",
"foreigner, outsider",
"boss",
"foreman",
"forester, tree_farmer, arboriculturist",
"forewoman",
"forger, counterfeiter",
"forward",
"foster-brother, foster_brother",
"foster-father, foster_father",
"foster-mother, foster_mother",
"foster-sister, foster_sister",
"foster-son, foster_son",
"founder, beginner, founding_father, father",
"foundress",
"four-minute_man",
"framer",
"francophobe",
"freak, monster, monstrosity, lusus_naturae",
"free_agent, free_spirit, freewheeler",
"free_agent",
"freedom_rider",
"free-liver",
"freeloader",
"free_trader",
"freudian",
"friar, mendicant",
"monk, monastic",
"frontierswoman",
"front_man, front, figurehead, nominal_head, straw_man, strawman",
"frotteur",
"fucker",
"fucker",
"fuddy-duddy",
"fullback",
"funambulist, tightrope_walker",
"fundamentalist",
"fundraiser",
"futurist",
"gadgeteer",
"gagman, gagster, gagwriter",
"gagman, standup_comedian",
"gainer, weight_gainer",
"gal",
"galoot",
"gambist",
"gambler",
"gamine",
"garbage_man, garbageman, garbage_collector, garbage_carter, garbage_hauler, refuse_collector, dustman",
"gardener",
"garment_cutter",
"garroter, garrotter, strangler, throttler, choker",
"gasman",
"gastroenterologist",
"gatherer",
"gawker",
"gendarme",
"general, full_general",
"generator, source, author",
"geneticist",
"genitor",
"gent",
"geologist",
"geophysicist",
"ghostwriter, ghost",
"gibson_girl",
"girl, miss, missy, young_lady, young_woman, fille",
"girlfriend, girl, lady_friend",
"girlfriend",
"girl_wonder",
"girondist, girondin",
"gitano",
"gladiator",
"glassblower",
"gleaner",
"goat_herder, goatherd",
"godchild",
"godfather",
"godparent",
"godson",
"gofer",
"goffer, gopher",
"goldsmith, goldworker, gold-worker",
"golfer, golf_player, linksman",
"gondolier, gondoliere",
"good_guy",
"good_old_boy, good_ole_boy, good_ol'_boy",
"good_samaritan",
"gossip_columnist",
"gouger",
"governor_general",
"grabber",
"grader",
"graduate_nurse, trained_nurse",
"grammarian, syntactician",
"granddaughter",
"grande_dame",
"grandfather, gramps, granddad, grandad, granddaddy, grandpa",
"grand_inquisitor",
"grandma, grandmother, granny, grannie, gran, nan, nanna",
"grandmaster",
"grandparent",
"grantee",
"granter",
"grass_widower, divorced_man",
"great-aunt, grandaunt",
"great_grandchild",
"great_granddaughter",
"great_grandmother",
"great_grandparent",
"great_grandson",
"great-nephew, grandnephew",
"great-niece, grandniece",
"green_beret",
"grenadier, grenade_thrower",
"greeter, saluter, welcomer",
"gringo",
"grinner",
"grocer",
"groom, bridegroom",
"groom, bridegroom",
"grouch, grump, crank, churl, crosspatch",
"group_captain",
"grunter",
"prison_guard, jailer, jailor, gaoler, screw, turnkey",
"guard",
"guesser",
"guest, invitee",
"guest",
"guest_of_honor",
"guest_worker, guestworker",
"guide",
"guitarist, guitar_player",
"gunnery_sergeant",
"guru",
"guru",
"guvnor",
"guy, cat, hombre, bozo",
"gymnast",
"gym_rat",
"gynecologist, gynaecologist, woman's_doctor",
"gypsy, gipsy, romany, rommany, romani, roma, bohemian",
"hack, drudge, hacker",
"hacker, cyber-terrorist, cyberpunk",
"haggler",
"hairdresser, hairstylist, stylist, styler",
"hakim, hakeem",
"hakka",
"halberdier",
"halfback",
"half_blood",
"hand",
"animal_trainer, handler",
"handyman, jack_of_all_trades, odd-job_man",
"hang_glider",
"hardliner",
"harlequin",
"harmonizer, harmoniser",
"hash_head",
"hatchet_man, iceman",
"hater",
"hatmaker, hatter, milliner, modiste",
"headman, tribal_chief, chieftain, chief",
"headmaster, schoolmaster, master",
"head_nurse",
"hearer, listener, auditor, attender",
"heartbreaker",
"heathen, pagan, gentile, infidel",
"heavyweight",
"heavy",
"heckler, badgerer",
"hedger",
"hedger, equivocator, tergiversator",
"hedonist, pagan, pleasure_seeker",
"heir, inheritor, heritor",
"heir_apparent",
"heiress, inheritress, inheritrix",
"heir_presumptive",
"hellion, heller, devil",
"helmsman, steersman, steerer",
"hire",
"hematologist, haematologist",
"hemiplegic",
"herald, trumpeter",
"herbalist, herb_doctor",
"herder, herdsman, drover",
"hermaphrodite, intersex, gynandromorph, androgyne, epicene, epicene_person",
"heroine",
"heroin_addict",
"hero_worshiper, hero_worshipper",
"herr",
"highbinder",
"highbrow",
"high_commissioner",
"highflier, highflyer",
"highlander, scottish_highlander, highland_scot",
"high-muck-a-muck, pooh-bah",
"high_priest",
"highjacker, hijacker",
"hireling, pensionary",
"historian, historiographer",
"hitchhiker",
"hitter, striker",
"hobbyist",
"holdout",
"holdover, hangover",
"holdup_man, stickup_man",
"homeboy",
"homeboy",
"home_buyer",
"homegirl",
"homeless, homeless_person",
"homeopath, homoeopath",
"honest_woman",
"honor_guard, guard_of_honor",
"hooker",
"hoper",
"hornist",
"horseman, equestrian, horseback_rider",
"horse_trader",
"horsewoman",
"horse_wrangler, wrangler",
"horticulturist, plantsman",
"hospital_chaplain",
"host, innkeeper, boniface",
"host",
"hostess",
"hotelier, hotelkeeper, hotel_manager, hotelman, hosteller",
"housekeeper",
"housemaster",
"housemate",
"house_physician, resident, resident_physician",
"house_sitter",
"housing_commissioner",
"huckster, cheap-jack",
"hugger",
"humanist, humanitarian",
"humanitarian, do-gooder, improver",
"hunk",
"huntress",
"ex-husband, ex",
"hydrologist",
"hyperope",
"hypertensive",
"hypnotist, hypnotizer, hypnotiser, mesmerist, mesmerizer",
"hypocrite, dissembler, dissimulator, phony, phoney, pretender",
"iceman",
"iconoclast",
"ideologist, ideologue",
"idol, matinee_idol",
"idolizer, idoliser",
"imam, imaum",
"imperialist",
"important_person, influential_person, personage",
"inamorato",
"incumbent, officeholder",
"incurable",
"inductee",
"industrialist",
"infanticide",
"inferior",
"infernal",
"infielder",
"infiltrator",
"informer, betrayer, rat, squealer, blabber",
"ingenue",
"ingenue",
"polymath",
"in-law, relative-in-law",
"inquiry_agent",
"inspector",
"inspector_general",
"instigator, initiator",
"insurance_broker, insurance_agent, general_agent, underwriter",
"insurgent, insurrectionist, freedom_fighter, rebel",
"intelligence_analyst",
"interior_designer, designer, interior_decorator, house_decorator, room_decorator, decorator",
"interlocutor, conversational_partner",
"interlocutor, middleman",
"international_grandmaster",
"internationalist",
"internist",
"interpreter, translator",
"interpreter",
"intervenor",
"introvert",
"invader, encroacher",
"invalidator, voider, nullifier",
"investigator",
"investor",
"invigilator",
"irreligionist",
"ivy_leaguer",
"jack_of_all_trades",
"jacksonian",
"jane_doe",
"janissary",
"jat",
"javanese, javan",
"jekyll_and_hyde",
"jester, fool, motley_fool",
"jesuit",
"jezebel",
"jilt",
"jobber, middleman, wholesaler",
"job_candidate",
"job's_comforter",
"jockey",
"john_doe",
"journalist",
"judge, justice, jurist",
"judge_advocate",
"juggler",
"jungian",
"junior",
"junior",
"junior, jr, jnr",
"junior_lightweight",
"junior_middleweight",
"jurist, legal_expert",
"juror, juryman, jurywoman",
"justice_of_the_peace",
"justiciar, justiciary",
"kachina",
"keyboardist",
"khedive",
"kingmaker",
"king, queen, world-beater",
"king's_counsel",
"counsel_to_the_crown",
"kin, kinsperson, family",
"enate, matrikin, matrilineal_kin, matrisib, matrilineal_sib",
"kink",
"kinswoman",
"kisser, osculator",
"kitchen_help",
"kitchen_police, kp",
"klansman, ku_kluxer, kluxer",
"kleptomaniac",
"kneeler",
"knight",
"knocker",
"knower, apprehender",
"know-it-all, know-all",
"kolkhoznik",
"kshatriya",
"labor_coach, birthing_coach, doula, monitrice",
"laborer, manual_laborer, labourer, jack",
"labourite",
"lady",
"lady-in-waiting",
"lady's_maid",
"lama",
"lamb, dear",
"lame_duck",
"lamplighter",
"land_agent",
"landgrave",
"landlubber, lubber, landsman",
"landlubber, landsman, landman",
"landowner, landholder, property_owner",
"landscape_architect, landscape_gardener, landscaper, landscapist",
"langlaufer",
"languisher",
"lapidary, lapidarist",
"lass, lassie, young_girl, jeune_fille",
"latin",
"latin",
"latitudinarian",
"jehovah's_witness",
"law_agent",
"lawgiver, lawmaker",
"lawman, law_officer, peace_officer",
"law_student",
"lawyer, attorney",
"lay_reader",
"lazybones",
"leaker",
"leaseholder, lessee",
"lector, lecturer, reader",
"lector, reader",
"lecturer",
"left-hander, lefty, southpaw",
"legal_representative",
"legate, official_emissary",
"legatee",
"legionnaire, legionary",
"letterman",
"liberator",
"licenser",
"licentiate",
"lieutenant",
"lieutenant_colonel, light_colonel",
"lieutenant_commander",
"lieutenant_junior_grade, lieutenant_jg",
"life",
"lifeguard, lifesaver",
"life_tenant",
"light_flyweight",
"light_heavyweight, cruiserweight",
"light_heavyweight",
"light-o'-love, light-of-love",
"lightweight",
"lightweight",
"lightweight",
"lilliputian",
"limnologist",
"lineman",
"line_officer",
"lion-hunter",
"lisper",
"lister",
"literary_critic",
"literate, literate_person",
"litigant, litigator",
"litterer, litterbug, litter_lout",
"little_brother",
"little_sister",
"lobbyist",
"locksmith",
"locum_tenens, locum",
"lord, noble, nobleman",
"loser",
"loser, also-ran",
"failure, loser, nonstarter, unsuccessful_person",
"lothario",
"loudmouth, blusterer",
"lowerclassman, underclassman",
"lowlander, scottish_lowlander, lowland_scot",
"loyalist, stalwart",
"luddite",
"lumberman, lumberjack, logger, feller, faller",
"lumper",
"bedlamite",
"pyromaniac",
"lutist, lutanist, lutenist",
"lutheran",
"lyricist, lyrist",
"macebearer, mace, macer",
"machinist, mechanic, shop_mechanic",
"madame",
"maenad",
"maestro, master",
"magdalen",
"magician, prestidigitator, conjurer, conjuror, illusionist",
"magus",
"maharani, maharanee",
"mahatma",
"maid, maiden",
"maid, maidservant, housemaid, amah",
"major",
"major",
"major-domo, seneschal",
"maker, shaper",
"malahini",
"malcontent",
"malik",
"malingerer, skulker, shammer",
"malthusian",
"adonis",
"man",
"man",
"manageress",
"mandarin",
"maneuverer, manoeuvrer",
"maniac",
"manichaean, manichean, manichee",
"manicurist",
"manipulator",
"man-at-arms",
"man_of_action, man_of_deeds",
"man_of_letters",
"manufacturer, producer",
"marcher, parader",
"marchioness, marquise",
"margrave",
"margrave",
"marine, devil_dog, leatherneck, shipboard_soldier",
"marquess",
"marquis, marquess",
"marshal, marshall",
"martinet, disciplinarian, moralist",
"mascot",
"masochist",
"mason, stonemason",
"masquerader, masker, masquer",
"masseur",
"masseuse",
"master",
"master, captain, sea_captain, skipper",
"master-at-arms",
"master_of_ceremonies, emcee, host",
"masturbator, onanist",
"matchmaker, matcher, marriage_broker",
"mate, first_mate",
"mate",
"mate",
"mater",
"material",
"materialist",
"matriarch, materfamilias",
"matriarch",
"matriculate",
"matron",
"mayor, city_manager",
"mayoress",
"mechanical_engineer",
"medalist, medallist, medal_winner",
"medical_officer, medic",
"medical_practitioner, medical_man",
"medical_scientist",
"medium, spiritualist, sensitive",
"megalomaniac",
"melancholic, melancholiac",
"melkite, melchite",
"melter",
"nonmember",
"board_member",
"clansman, clanswoman, clan_member",
"memorizer, memoriser",
"mendelian",
"mender, repairer, fixer",
"mesoamerican",
"messmate",
"mestiza",
"meteorologist",
"meter_maid",
"methodist",
"metis",
"metropolitan",
"mezzo-soprano, mezzo",
"microeconomist, microeconomic_expert",
"middle-aged_man",
"middlebrow",
"middleweight",
"midwife, accoucheuse",
"mikado, tenno",
"milanese",
"miler",
"miles_gloriosus",
"military_attache",
"military_chaplain, padre, holy_joe, sky_pilot",
"military_leader",
"military_officer, officer",
"military_policeman, mp",
"mill_agent",
"mill-hand, factory_worker",
"millionairess",
"millwright",
"minder",
"mining_engineer",
"minister, government_minister",
"ministrant",
"minor_leaguer, bush_leaguer",
"minuteman",
"misanthrope, misanthropist",
"misfit",
"mistress",
"mistress, kept_woman, fancy_woman",
"mixed-blood",
"model, poser",
"class_act",
"modeler, modeller",
"modifier",
"molecular_biologist",
"monegasque, monacan",
"monetarist",
"moneygrubber",
"moneymaker",
"mongoloid",
"monolingual",
"monologist",
"moonlighter",
"moralist",
"morosoph",
"morris_dancer",
"mortal_enemy",
"mortgagee, mortgage_holder",
"mortician, undertaker, funeral_undertaker, funeral_director",
"moss-trooper",
"mother, female_parent",
"mother",
"mother",
"mother_figure",
"mother_hen",
"mother-in-law",
"mother's_boy, mamma's_boy, mama's_boy",
"mother's_daughter",
"motorcycle_cop, motorcycle_policeman, speed_cop",
"motorcyclist",
"mound_builder",
"mountebank, charlatan",
"mourner, griever, sorrower, lamenter",
"mouthpiece, mouth",
"mover",
"moviegoer, motion-picture_fan",
"muffin_man",
"mugwump, independent, fencesitter",
"mullah, mollah, mulla",
"muncher",
"murderess",
"murder_suspect",
"musher",
"musician, instrumentalist, player",
"musicologist",
"music_teacher",
"musketeer",
"muslimah",
"mutilator, maimer, mangler",
"mutineer",
"mute, deaf-mute, deaf-and-dumb_person",
"mutterer, mumbler, murmurer",
"muzzler",
"mycenaen",
"mycologist",
"myope",
"myrmidon",
"mystic, religious_mystic",
"mythologist",
"naif",
"nailer",
"namby-pamby",
"name_dropper",
"namer",
"nan",
"nanny, nursemaid, nurse",
"narc, nark, narcotics_agent",
"narcissist, narcist",
"nark, copper's_nark",
"nationalist",
"nautch_girl",
"naval_commander",
"navy_seal, seal",
"obstructionist, obstructor, obstructer, resister, thwarter",
"nazarene",
"nazarene, ebionite",
"nazi, german_nazi",
"nebbish, nebbech",
"necker",
"neonate, newborn, newborn_infant, newborn_baby",
"nephew",
"neurobiologist",
"neurologist, brain_doctor",
"neurosurgeon, brain_surgeon",
"neutral",
"neutralist",
"newcomer, fledgling, fledgeling, starter, neophyte, freshman, newbie, entrant",
"newcomer",
"new_dealer",
"newspaper_editor",
"newsreader, news_reader",
"newtonian",
"niece",
"niggard, skinflint, scrooge, churl",
"night_porter",
"night_rider, nightrider",
"nimby",
"niqaabi",
"nitpicker",
"nobelist, nobel_laureate",
"noc",
"noncandidate",
"noncommissioned_officer, noncom, enlisted_officer",
"nondescript",
"nondriver",
"nonparticipant",
"nonperson, unperson",
"nonresident",
"nonsmoker",
"northern_baptist",
"noticer",
"novelist",
"novitiate, novice",
"nuclear_chemist, radiochemist",
"nudger",
"nullipara",
"number_theorist",
"nurse",
"nursling, nurseling, suckling",
"nymph, houri",
"nymphet",
"nympholept",
"nymphomaniac, nympho",
"oarswoman",
"oboist",
"obscurantist",
"observer, commentator",
"obstetrician, accoucheur",
"occupier",
"occultist",
"wine_lover",
"offerer, offeror",
"office-bearer",
"office_boy",
"officeholder, officer",
"officiant",
"federal, fed, federal_official",
"oilman",
"oil_tycoon",
"old-age_pensioner",
"old_boy",
"old_lady",
"old_man",
"oldster, old_person, senior_citizen, golden_ager",
"old-timer, oldtimer, gaffer, old_geezer, antique",
"old_woman",
"oligarch",
"olympian",
"omnivore",
"oncologist",
"onlooker, looker-on",
"onomancer",
"operator",
"opportunist, self-seeker",
"optimist",
"orangeman",
"orator, speechmaker, rhetorician, public_speaker, speechifier",
"orderly, hospital_attendant",
"orderly",
"orderly_sergeant",
"ordinand",
"ordinary",
"organ-grinder",
"organist",
"organization_man",
"organizer, organiser, arranger",
"organizer, organiser, labor_organizer",
"originator, conceiver, mastermind",
"ornithologist, bird_watcher",
"orphan",
"orphan",
"osteopath, osteopathist",
"out-and-outer",
"outdoorswoman",
"outfielder",
"outfielder",
"right_fielder",
"right-handed_pitcher, right-hander",
"outlier",
"owner-occupier",
"oyabun",
"packrat",
"padrone",
"padrone",
"page, pageboy",
"painter",
"paleo-american, paleo-amerind, paleo-indian",
"paleontologist, palaeontologist, fossilist",
"pallbearer, bearer",
"palmist, palmister, chiromancer",
"pamperer, spoiler, coddler, mollycoddler",
"panchen_lama",
"panelist, panellist",
"panhandler",
"paparazzo",
"paperboy",
"paperhanger, paperer",
"paperhanger",
"papoose, pappoose",
"pardoner",
"paretic",
"parishioner",
"park_commissioner",
"parliamentarian, member_of_parliament",
"parliamentary_agent",
"parodist, lampooner",
"parricide",
"parrot",
"partaker, sharer",
"part-timer",
"party",
"party_man, party_liner",
"passenger, rider",
"passer",
"paster",
"pater",
"patient",
"patriarch",
"patriarch",
"patriarch, paterfamilias",
"patriot, nationalist",
"patron, sponsor, supporter",
"patternmaker",
"pawnbroker",
"payer, remunerator",
"peacekeeper",
"peasant",
"pedant, bookworm, scholastic",
"peddler, pedlar, packman, hawker, pitchman",
"pederast, paederast, child_molester",
"penologist",
"pentathlete",
"pentecostal, pentecostalist",
"percussionist",
"periodontist",
"peshmerga",
"personality",
"personal_representative",
"personage",
"persona_grata",
"persona_non_grata",
"personification",
"perspirer, sweater",
"pervert, deviant, deviate, degenerate",
"pessimist",
"pest, blighter, cuss, pesterer, gadfly",
"peter_pan",
"petitioner, suppliant, supplicant, requester",
"petit_juror, petty_juror",
"pet_sitter, critter_sitter",
"petter, fondler",
"pharaoh, pharaoh_of_egypt",
"pharmacist, druggist, chemist, apothecary, pill_pusher, pill_roller",
"philanthropist, altruist",
"philatelist, stamp_collector",
"philosopher",
"phonetician",
"phonologist",
"photojournalist",
"photometrist, photometrician",
"physical_therapist, physiotherapist",
"physicist",
"piano_maker",
"picker, chooser, selector",
"picnicker, picknicker",
"pilgrim",
"pill",
"pillar, mainstay",
"pill_head",
"pilot",
"piltdown_man, piltdown_hoax",
"pimp, procurer, panderer, pander, pandar, fancy_man, ponce",
"pipe_smoker",
"pip-squeak, squirt, small_fry",
"pisser, urinator",
"pitcher, hurler, twirler",
"pitchman",
"placeman, placeseeker",
"placer_miner",
"plagiarist, plagiarizer, plagiariser, literary_pirate, pirate",
"plainsman",
"planner, contriver, deviser",
"planter, plantation_owner",
"plasterer",
"platinum_blond, platinum_blonde",
"platitudinarian",
"playboy, man-about-town, corinthian",
"player, participant",
"playmate, playfellow",
"pleaser",
"pledger",
"plenipotentiary",
"plier, plyer",
"plodder, slowpoke, stick-in-the-mud, slowcoach",
"plodder, slogger",
"plotter, mapper",
"plumber, pipe_fitter",
"pluralist",
"pluralist",
"poet",
"pointsman",
"point_woman",
"policyholder",
"political_prisoner",
"political_scientist",
"politician, politico, pol, political_leader",
"politician",
"pollster, poll_taker, headcounter, canvasser",
"polluter, defiler",
"pool_player",
"portraitist, portrait_painter, portrayer, limner",
"poseuse",
"positivist, rationalist",
"postdoc, post_doc",
"poster_girl",
"postulator",
"private_citizen",
"problem_solver, solver, convergent_thinker",
"pro-lifer",
"prosthetist",
"postulant",
"potboy, potman",
"poultryman, poulterer",
"power_user",
"power_worker, power-station_worker",
"practitioner, practician",
"prayer, supplicant",
"preceptor, don",
"predecessor",
"preemptor, pre-emptor",
"preemptor, pre-emptor",
"premature_baby, preterm_baby, premature_infant, preterm_infant, preemie, premie",
"presbyter",
"presenter, sponsor",
"presentist",
"preserver",
"president",
"president_of_the_united_states, united_states_president, president, chief_executive",
"president, prexy",
"press_agent, publicity_man, public_relations_man, pr_man",
"press_photographer",
"priest",
"prima_ballerina",
"prima_donna, diva",
"prima_donna",
"primigravida, gravida_i",
"primordial_dwarf, hypoplastic_dwarf, true_dwarf, normal_dwarf",
"prince_charming",
"prince_consort",
"princeling",
"prince_of_wales",
"princess",
"princess_royal",
"principal, dealer",
"principal, school_principal, head_teacher, head",
"print_seller",
"prior",
"private, buck_private, common_soldier",
"probationer, student_nurse",
"processor",
"process-server",
"proconsul",
"proconsul",
"proctologist",
"proctor, monitor",
"procurator",
"procurer, securer",
"profit_taker",
"programmer, computer_programmer, coder, software_engineer",
"promiser, promisor",
"promoter, booster, plugger",
"promulgator",
"propagandist",
"propagator, disseminator",
"property_man, propman, property_master",
"prophetess",
"prophet",
"prosecutor, public_prosecutor, prosecuting_officer, prosecuting_attorney",
"prospector",
"protectionist",
"protegee",
"protozoologist",
"provost_marshal",
"pruner, trimmer",
"psalmist",
"psephologist",
"psychiatrist, head-shrinker, shrink",
"psychic",
"psycholinguist",
"psychophysicist",
"publican, tavern_keeper",
"pudge",
"puerpera",
"punching_bag",
"punter",
"punter",
"puppeteer",
"puppy, pup",
"purchasing_agent",
"puritan",
"puritan",
"pursuer",
"pusher, shover",
"pusher, drug_peddler, peddler, drug_dealer, drug_trafficker",
"pusher, thruster",
"putz",
"pygmy, pigmy",
"qadi",
"quadriplegic",
"quadruplet, quad",
"quaker, trembler",
"quarter",
"quarterback, signal_caller, field_general",
"quartermaster",
"quartermaster_general",
"quebecois",
"queen, queen_regnant, female_monarch",
"queen_of_england",
"queen",
"queen",
"queen_consort",
"queen_mother",
"queen's_counsel",
"question_master, quizmaster",
"quick_study, sponge",
"quietist",
"quitter",
"rabbi",
"racist, racialist",
"radiobiologist",
"radiologic_technologist",
"radiologist, radiotherapist",
"rainmaker",
"raiser",
"raja, rajah",
"rake, rakehell, profligate, rip, blood, roue",
"ramrod",
"ranch_hand",
"ranker",
"ranter, raver",
"rape_suspect",
"rapper",
"rapporteur",
"rare_bird, rara_avis",
"ratepayer",
"raw_recruit",
"reader",
"reading_teacher",
"realist",
"real_estate_broker, real_estate_agent, estate_agent, land_agent, house_agent",
"rear_admiral",
"receiver",
"reciter",
"recruit, enlistee",
"recruit, military_recruit",
"recruiter",
"recruiting-sergeant",
"redcap",
"redhead, redheader, red-header, carrottop",
"redneck, cracker",
"reeler",
"reenactor",
"referral",
"referee, ref",
"refiner",
"reform_jew",
"registered_nurse, rn",
"registrar",
"regius_professor",
"reliever, allayer, comforter",
"anchorite, hermit",
"religious_leader",
"remover",
"renaissance_man, generalist",
"renegade",
"rentier",
"repairman, maintenance_man, service_man",
"reporter, newsman, newsperson",
"newswoman",
"representative",
"reprobate, miscreant",
"rescuer, recoverer, saver",
"reservist",
"resident_commissioner",
"respecter",
"restaurateur, restauranter",
"restrainer, controller",
"retailer, retail_merchant",
"retiree, retired_person",
"returning_officer",
"revenant",
"revisionist",
"revolutionist, revolutionary, subversive, subverter",
"rheumatologist",
"rhodesian_man, homo_rhodesiensis",
"rhymer, rhymester, versifier, poetizer, poetiser",
"rich_person, wealthy_person, have",
"rider",
"riding_master",
"rifleman",
"right-hander, right_hander, righthander",
"right-hand_man, chief_assistant, man_friday",
"ringer",
"ringleader",
"roadman, road_mender",
"roarer, bawler, bellower, screamer, screecher, shouter, yeller",
"rocket_engineer, rocket_scientist",
"rocket_scientist",
"rock_star",
"romanov, romanoff",
"romanticist, romantic",
"ropemaker, rope-maker, roper",
"roper",
"roper",
"ropewalker, ropedancer",
"rosebud",
"rosicrucian",
"mountie",
"rough_rider",
"roundhead",
"civil_authority, civil_officer",
"runner",
"runner",
"runner",
"running_back",
"rusher",
"rustic",
"saboteur, wrecker, diversionist",
"sadist",
"sailing_master, navigator",
"sailor, crewman",
"salesgirl, saleswoman, saleslady",
"salesman",
"salesperson, sales_representative, sales_rep",
"salvager, salvor",
"sandwichman",
"sangoma",
"sannup",
"sapper",
"sassenach",
"satrap",
"saunterer, stroller, ambler",
"savoyard",
"sawyer",
"scalper",
"scandalmonger",
"scapegrace, black_sheep",
"scene_painter",
"schemer, plotter",
"schizophrenic",
"schlemiel, shlemiel",
"schlockmeister, shlockmeister",
"scholar, scholarly_person, bookman, student",
"scholiast",
"schoolchild, school-age_child, pupil",
"schoolfriend",
"schoolman, medieval_schoolman",
"schoolmaster",
"schoolmate, classmate, schoolfellow, class_fellow",
"scientist",
"scion",
"scoffer, flouter, mocker, jeerer",
"scofflaw",
"scorekeeper, scorer",
"scorer",
"scourer",
"scout, talent_scout",
"scoutmaster",
"scrambler",
"scratcher",
"screen_actor, movie_actor",
"scrutineer, canvasser",
"scuba_diver",
"sculptor, sculpturer, carver, statue_maker",
"sea_scout",
"seasonal_worker, seasonal",
"seasoner",
"second_baseman, second_sacker",
"second_cousin",
"seconder",
"second_fiddle, second_banana",
"second-in-command",
"second_lieutenant, 2nd_lieutenant",
"second-rater, mediocrity",
"secretary",
"secretary_of_agriculture, agriculture_secretary",
"secretary_of_health_and_human_services",
"secretary_of_state",
"secretary_of_the_interior, interior_secretary",
"sectarian, sectary, sectarist",
"section_hand",
"secularist",
"security_consultant",
"seeded_player, seed",
"seeder, cloud_seeder",
"seeker, searcher, quester",
"segregate",
"segregator, segregationist",
"selectman",
"selectwoman",
"selfish_person",
"self-starter",
"seller, marketer, vender, vendor, trafficker",
"selling_agent",
"semanticist, semiotician",
"semifinalist",
"seminarian, seminarist",
"senator",
"sendee",
"senior",
"senior_vice_president",
"separatist, separationist",
"septuagenarian",
"serf, helot, villein",
"spree_killer",
"serjeant-at-law, serjeant, sergeant-at-law, sergeant",
"server",
"serviceman, military_man, man, military_personnel",
"settler, colonist",
"settler",
"sex_symbol",
"sexton, sacristan",
"shaheed",
"shakespearian, shakespearean",
"shanghaier, seizer",
"sharecropper, cropper, sharecrop_farmer",
"shaver",
"shavian",
"sheep",
"sheik, tribal_sheik, sheikh, tribal_sheikh, arab_chief",
"shelver",
"shepherd",
"ship-breaker",
"shipmate",
"shipowner",
"shipping_agent",
"shirtmaker",
"shogun",
"shopaholic",
"shop_girl",
"shop_steward, steward",
"shot_putter",
"shrew, termagant",
"shuffler",
"shyster, pettifogger",
"sibling, sib",
"sick_person, diseased_person, sufferer",
"sightreader",
"signaler, signaller",
"signer",
"signor, signior",
"signora",
"signore",
"signorina",
"silent_partner, sleeping_partner",
"addle-head, addlehead, loon, birdbrain",
"simperer",
"singer, vocalist, vocalizer, vocaliser",
"sinologist",
"sipper",
"sirrah",
"sister",
"sister, sis",
"waverer, vacillator, hesitator, hesitater",
"sitar_player",
"sixth-former",
"skateboarder",
"skeptic, sceptic, doubter",
"sketcher",
"skidder",
"skier",
"skinny-dipper",
"skin-diver, aquanaut",
"skinhead",
"slasher",
"slattern, slut, slovenly_woman, trollop",
"sleeper, slumberer",
"sleeper",
"sleeping_beauty",
"sleuth, sleuthhound",
"slob, sloven, pig, slovenly_person",
"sloganeer",
"slopseller, slop-seller",
"smasher, stunner, knockout, beauty, ravisher, sweetheart, peach, lulu, looker, mantrap, dish",
"smirker",
"smith, metalworker",
"smoothie, smoothy, sweet_talker, charmer",
"smuggler, runner, contrabandist, moon_curser, moon-curser",
"sneezer",
"snob, prig, snot, snoot",
"snoop, snooper",
"snorer",
"sob_sister",
"soccer_player",
"social_anthropologist, cultural_anthropologist",
"social_climber, climber",
"socialist",
"socializer, socialiser",
"social_scientist",
"social_secretary",
"socinian",
"sociolinguist",
"sociologist",
"soda_jerk, soda_jerker",
"sodalist",
"sodomite, sodomist, sod, bugger",
"soldier",
"son, boy",
"songster",
"songstress",
"songwriter, songster, ballad_maker",
"sorcerer, magician, wizard, necromancer, thaumaturge, thaumaturgist",
"sorehead",
"soul_mate",
"southern_baptist",
"sovereign, crowned_head, monarch",
"spacewalker",
"spanish_american, hispanic_american, hispanic",
"sparring_partner, sparring_mate",
"spastic",
"speaker, talker, utterer, verbalizer, verbaliser",
"native_speaker",
"speaker",
"speechwriter",
"specialist, medical_specialist",
"specifier",
"spectator, witness, viewer, watcher, looker",
"speech_therapist",
"speedskater, speed_skater",
"spellbinder",
"sphinx",
"spinster, old_maid",
"split_end",
"sport, sportsman, sportswoman",
"sport, summercater",
"sporting_man, outdoor_man",
"sports_announcer, sportscaster, sports_commentator",
"sports_editor",
"sprog",
"square_dancer",
"square_shooter, straight_shooter, straight_arrow",
"squatter",
"squire",
"squire",
"staff_member, staffer",
"staff_sergeant",
"stage_director",
"stainer",
"stakeholder",
"stalker",
"stalking-horse",
"stammerer, stutterer",
"stamper, stomper, tramper, trampler",
"standee",
"stand-in, substitute, relief, reliever, backup, backup_man, fill-in",
"star, principal, lead",
"starlet",
"starter, dispatcher",
"statesman, solon, national_leader",
"state_treasurer",
"stationer, stationery_seller",
"stenographer, amanuensis, shorthand_typist",
"stentor",
"stepbrother, half-brother, half_brother",
"stepmother",
"stepparent",
"stevedore, loader, longshoreman, docker, dockhand, dock_worker, dockworker, dock-walloper, lumper",
"steward",
"steward, flight_attendant",
"steward",
"stickler",
"stiff",
"stifler, smotherer",
"stipendiary, stipendiary_magistrate",
"stitcher",
"stockjobber",
"stock_trader",
"stockist",
"stoker, fireman",
"stooper",
"store_detective",
"strafer",
"straight_man, second_banana",
"stranger, alien, unknown",
"stranger",
"strategist, strategian",
"straw_boss, assistant_foreman",
"streetwalker, street_girl, hooker, hustler, floozy, floozie, slattern",
"stretcher-bearer, litter-bearer",
"struggler",
"stud, he-man, macho-man",
"student, pupil, educatee",
"stumblebum, palooka",
"stylist",
"subaltern",
"subcontractor",
"subduer, surmounter, overcomer",
"subject, case, guinea_pig",
"subordinate, subsidiary, underling, foot_soldier",
"substitute, reserve, second-stringer",
"successor, heir",
"successor, replacement",
"succorer, succourer",
"sufi",
"suffragan, suffragan_bishop",
"suffragette",
"sugar_daddy",
"suicide_bomber",
"suitor, suer, wooer",
"sumo_wrestler",
"sunbather",
"sundowner",
"super_heavyweight",
"superior, higher-up, superordinate",
"supermom",
"supernumerary, spear_carrier, extra",
"supremo",
"surgeon, operating_surgeon, sawbones",
"surgeon_general",
"surgeon_general",
"surpriser",
"surveyor",
"surveyor",
"survivor, subsister",
"sutler, victualer, victualler, provisioner",
"sweeper",
"sweetheart, sweetie, steady, truelove",
"swinger, tramp",
"switcher, whipper",
"swot, grind, nerd, wonk, dweeb",
"sycophant, toady, crawler, lackey, ass-kisser",
"sylph",
"sympathizer, sympathiser, well-wisher",
"symphonist",
"syncopator",
"syndic",
"tactician",
"tagger",
"tailback",
"tallyman, tally_clerk",
"tallyman",
"tanker, tank_driver",
"tapper, wiretapper, phone_tapper",
"tartuffe, tartufe",
"tarzan",
"taster, taste_tester, taste-tester, sampler",
"tax_assessor, assessor",
"taxer",
"taxi_dancer",
"taxonomist, taxonomer, systematist",
"teacher, instructor",
"teaching_fellow",
"tearaway",
"technical_sergeant",
"technician",
"ted, teddy_boy",
"teetotaler, teetotaller, teetotalist",
"television_reporter, television_newscaster, tv_reporter, tv_newsman",
"temporizer, temporiser",
"tempter",
"term_infant",
"toiler",
"tenant, renter",
"tenant",
"tenderfoot",
"tennis_player",
"tennis_pro, professional_tennis_player",
"tenor_saxophonist, tenorist",
"termer",
"terror, scourge, threat",
"tertigravida, gravida_iii",
"testator, testate",
"testatrix",
"testee, examinee",
"test-tube_baby",
"texas_ranger, ranger",
"thane",
"theatrical_producer",
"theologian, theologist, theologizer, theologiser",
"theorist, theoretician, theorizer, theoriser, idealogue",
"theosophist",
"therapist, healer",
"thessalonian",
"thinker, creative_thinker, mind",
"thinker",
"thrower",
"thurifer",
"ticket_collector, ticket_taker",
"tight_end",
"tiler",
"timekeeper, timer",
"timorese",
"tinkerer, fiddler",
"tinsmith, tinner",
"tinter",
"tippler, social_drinker",
"tipster, tout",
"t-man",
"toastmaster, symposiarch",
"toast_mistress",
"tobogganist",
"tomboy, romp, hoyden",
"toolmaker",
"torchbearer",
"tory",
"tory",
"tosser",
"tosser, jerk-off, wanker",
"totalitarian",
"tourist, tourer, holidaymaker",
"tout, touter",
"tout, ticket_tout",
"tovarich, tovarisch",
"towhead",
"town_clerk",
"town_crier, crier",
"townsman, towner",
"toxicologist",
"track_star",
"trader, bargainer, dealer, monger",
"trade_unionist, unionist, union_member",
"traditionalist, diehard",
"traffic_cop",
"tragedian",
"tragedian",
"tragedienne",
"trail_boss",
"trainer",
"traitor, treasonist",
"traitress",
"transactor",
"transcriber",
"transfer, transferee",
"transferee",
"translator, transcriber",
"transvestite, cross-dresser",
"traveling_salesman, travelling_salesman, commercial_traveler, commercial_traveller, roadman, bagman",
"traverser",
"trawler",
"treasury, first_lord_of_the_treasury",
"trencher",
"trend-setter, taste-maker, fashion_arbiter",
"tribesman",
"trier, attempter, essayer",
"trifler",
"trooper",
"trooper, state_trooper",
"trotskyite, trotskyist, trot",
"truant, hooky_player",
"trumpeter, cornetist",
"trusty",
"tudor",
"tumbler",
"tutee",
"twin",
"two-timer",
"tyke",
"tympanist, timpanist",
"typist",
"tyrant, autocrat, despot",
"umpire, ump",
"understudy, standby",
"undesirable",
"unicyclist",
"unilateralist",
"unitarian",
"arminian",
"universal_donor",
"unix_guru",
"unknown_soldier",
"upsetter",
"upstager",
"upstart, parvenu, nouveau-riche, arriviste",
"upstart",
"urchin",
"urologist",
"usherette",
"usher, doorkeeper",
"usurper, supplanter",
"utility_man",
"utilizer, utiliser",
"utopian",
"uxoricide",
"vacationer, vacationist",
"valedictorian, valedictory_speaker",
"valley_girl",
"vaulter, pole_vaulter, pole_jumper",
"vegetarian",
"vegan",
"venerator",
"venture_capitalist",
"venturer, merchant-venturer",
"vermin, varmint",
"very_important_person, vip, high-up, dignitary, panjandrum, high_muckamuck",
"vibist, vibraphonist",
"vicar",
"vicar",
"vicar-general",
"vice_chancellor",
"vicegerent",
"vice_president, v.p.",
"vice-regent",
"victim, dupe",
"victorian",
"victualer, victualler",
"vigilante, vigilance_man",
"villager",
"vintager",
"vintner, wine_merchant",
"violator, debaucher, ravisher",
"violator, lawbreaker, law_offender",
"violist",
"virago",
"virologist",
"visayan, bisayan",
"viscountess",
"viscount",
"visigoth",
"visionary",
"visiting_fireman",
"visiting_professor",
"visualizer, visualiser",
"vixen, harpy, hellcat",
"vizier",
"voicer",
"volunteer, unpaid_worker",
"volunteer, military_volunteer, voluntary",
"votary",
"votary",
"vouchee",
"vower",
"voyager",
"voyeur, peeping_tom, peeper",
"vulcanizer, vulcaniser",
"waffler",
"wagnerian",
"waif, street_child",
"wailer",
"waiter, server",
"waitress",
"walking_delegate",
"walk-on",
"wallah",
"wally",
"waltzer",
"wanderer, roamer, rover, bird_of_passage",
"wandering_jew",
"wanton",
"warrantee",
"warrantee",
"washer",
"washerman, laundryman",
"washwoman, washerwoman, laundrywoman, laundress",
"wassailer, carouser",
"wastrel, waster",
"wave",
"weatherman, weather_forecaster",
"weekend_warrior",
"weeder",
"welder",
"welfare_case, charity_case",
"westerner",
"west-sider",
"wetter",
"whaler",
"whig",
"whiner, complainer, moaner, sniveller, crybaby, bellyacher, grumbler, squawker",
"whipper-in",
"whisperer",
"whiteface",
"carmelite, white_friar",
"augustinian",
"white_hope, great_white_hope",
"white_supremacist",
"whoremaster, whoremonger",
"whoremaster, whoremonger, john, trick",
"widow, widow_woman",
"wife, married_woman",
"wiggler, wriggler, squirmer",
"wimp, chicken, crybaby",
"wing_commander",
"winger",
"winner",
"winner, victor",
"window_dresser, window_trimmer",
"winker",
"wiper",
"wireman, wirer",
"wise_guy, smart_aleck, wiseacre, wisenheimer, weisenheimer",
"witch_doctor",
"withdrawer",
"withdrawer",
"woman, adult_female",
"woman",
"wonder_boy, golden_boy",
"wonderer",
"working_girl",
"workman, workingman, working_man, working_person",
"workmate",
"worldling",
"worshiper, worshipper",
"worthy",
"wrecker",
"wright",
"write-in_candidate, write-in",
"writer, author",
"wykehamist",
"yakuza",
"yard_bird, yardbird",
"yardie",
"yardman",
"yardmaster, trainmaster, train_dispatcher",
"yenta",
"yogi",
"young_buck, young_man",
"young_turk",
"young_turk",
"zionist",
"zoo_keeper",
"genet, edmund_charles_edouard_genet, citizen_genet",
"kennan, george_f._kennan, george_frost_kennan",
"munro, h._h._munro, hector_hugh_munro, saki",
"popper, karl_popper, sir_karl_raimund_popper",
"stoker, bram_stoker, abraham_stoker",
"townes, charles_townes, charles_hard_townes",
"dust_storm, duster, sandstorm, sirocco",
"parhelion, mock_sun, sundog",
"snow, snowfall",
"facula",
"wave",
"microflora",
"wilding",
"semi-climber",
"volva",
"basidiocarp",
"domatium",
"apomict",
"aquatic",
"bryophyte, nonvascular_plant",
"acrocarp, acrocarpous_moss",
"sphagnum, sphagnum_moss, peat_moss, bog_moss",
"liverwort, hepatic",
"hepatica, marchantia_polymorpha",
"pecopteris",
"pteridophyte, nonflowering_plant",
"fern",
"fern_ally",
"spore",
"carpospore",
"chlamydospore",
"conidium, conidiospore",
"oospore",
"tetraspore",
"zoospore",
"cryptogam",
"spermatophyte, phanerogam, seed_plant",
"seedling",
"annual",
"biennial",
"perennial",
"hygrophyte",
"gymnosperm",
"gnetum, gnetum_gnemon",
"catha_edulis",
"ephedra, joint_fir",
"mahuang, ephedra_sinica",
"welwitschia, welwitschia_mirabilis",
"cycad",
"sago_palm, cycas_revoluta",
"false_sago, fern_palm, cycas_circinalis",
"zamia",
"coontie, florida_arrowroot, seminole_bread, zamia_pumila",
"ceratozamia",
"dioon",
"encephalartos",
"kaffir_bread, encephalartos_caffer",
"macrozamia",
"burrawong, macrozamia_communis, macrozamia_spiralis",
"pine, pine_tree, true_pine",
"pinon, pinyon",
"nut_pine",
"pinon_pine, mexican_nut_pine, pinus_cembroides",
"rocky_mountain_pinon, pinus_edulis",
"single-leaf, single-leaf_pine, single-leaf_pinyon, pinus_monophylla",
"bishop_pine, bishop's_pine, pinus_muricata",
"california_single-leaf_pinyon, pinus_californiarum",
"parry's_pinyon, pinus_quadrifolia, pinus_parryana",
"spruce_pine, pinus_glabra",
"black_pine, pinus_nigra",
"pitch_pine, northern_pitch_pine, pinus_rigida",
"pond_pine, pinus_serotina",
"stone_pine, umbrella_pine, european_nut_pine, pinus_pinea",
"swiss_pine, swiss_stone_pine, arolla_pine, cembra_nut_tree, pinus_cembra",
"cembra_nut, cedar_nut",
"swiss_mountain_pine, mountain_pine, dwarf_mountain_pine, mugho_pine, mugo_pine, pinus_mugo",
"ancient_pine, pinus_longaeva",
"white_pine",
"american_white_pine, eastern_white_pine, weymouth_pine, pinus_strobus",
"western_white_pine, silver_pine, mountain_pine, pinus_monticola",
"southwestern_white_pine, pinus_strobiformis",
"limber_pine, pinus_flexilis",
"whitebark_pine, whitebarked_pine, pinus_albicaulis",
"yellow_pine",
"ponderosa, ponderosa_pine, western_yellow_pine, bull_pine, pinus_ponderosa",
"jeffrey_pine, jeffrey's_pine, black_pine, pinus_jeffreyi",
"shore_pine, lodgepole, lodgepole_pine, spruce_pine, pinus_contorta",
"sierra_lodgepole_pine, pinus_contorta_murrayana",
"loblolly_pine, frankincense_pine, pinus_taeda",
"jack_pine, pinus_banksiana",
"swamp_pine",
"longleaf_pine, pitch_pine, southern_yellow_pine, georgia_pine, pinus_palustris",
"shortleaf_pine, short-leaf_pine, shortleaf_yellow_pine, pinus_echinata",
"red_pine, canadian_red_pine, pinus_resinosa",
"scotch_pine, scots_pine, scotch_fir, pinus_sylvestris",
"scrub_pine, virginia_pine, jersey_pine, pinus_virginiana",
"monterey_pine, pinus_radiata",
"bristlecone_pine, rocky_mountain_bristlecone_pine, pinus_aristata",
"table-mountain_pine, prickly_pine, hickory_pine, pinus_pungens",
"knobcone_pine, pinus_attenuata",
"japanese_red_pine, japanese_table_pine, pinus_densiflora",
"japanese_black_pine, black_pine, pinus_thunbergii",
"torrey_pine, torrey's_pine, soledad_pine, grey-leaf_pine, sabine_pine, pinus_torreyana",
"larch, larch_tree",
"american_larch, tamarack, black_larch, larix_laricina",
"western_larch, western_tamarack, oregon_larch, larix_occidentalis",
"subalpine_larch, larix_lyallii",
"european_larch, larix_decidua",
"siberian_larch, larix_siberica, larix_russica",
"golden_larch, pseudolarix_amabilis",
"fir, fir_tree, true_fir",
"silver_fir",
"amabilis_fir, white_fir, pacific_silver_fir, red_silver_fir, christmas_tree, abies_amabilis",
"european_silver_fir, christmas_tree, abies_alba",
"white_fir, colorado_fir, california_white_fir, abies_concolor, abies_lowiana",
"balsam_fir, balm_of_gilead, canada_balsam, abies_balsamea",
"fraser_fir, abies_fraseri",
"lowland_fir, lowland_white_fir, giant_fir, grand_fir, abies_grandis",
"alpine_fir, subalpine_fir, abies_lasiocarpa",
"santa_lucia_fir, bristlecone_fir, abies_bracteata, abies_venusta",
"cedar, cedar_tree, true_cedar",
"cedar_of_lebanon, cedrus_libani",
"deodar, deodar_cedar, himalayan_cedar, cedrus_deodara",
"atlas_cedar, cedrus_atlantica",
"spruce",
"norway_spruce, picea_abies",
"weeping_spruce, brewer's_spruce, picea_breweriana",
"engelmann_spruce, engelmann's_spruce, picea_engelmannii",
"white_spruce, picea_glauca",
"black_spruce, picea_mariana, spruce_pine",
"siberian_spruce, picea_obovata",
"sitka_spruce, picea_sitchensis",
"oriental_spruce, picea_orientalis",
"colorado_spruce, colorado_blue_spruce, silver_spruce, picea_pungens",
"red_spruce, eastern_spruce, yellow_spruce, picea_rubens",
"hemlock, hemlock_tree",
"eastern_hemlock, canadian_hemlock, spruce_pine, tsuga_canadensis",
"carolina_hemlock, tsuga_caroliniana",
"mountain_hemlock, black_hemlock, tsuga_mertensiana",
"western_hemlock, pacific_hemlock, west_coast_hemlock, tsuga_heterophylla",
"douglas_fir",
"green_douglas_fir, douglas_spruce, douglas_pine, douglas_hemlock, oregon_fir, oregon_pine, pseudotsuga_menziesii",
"big-cone_spruce, big-cone_douglas_fir, pseudotsuga_macrocarpa",
"cathaya",
"cedar, cedar_tree",
"cypress, cypress_tree",
"gowen_cypress, cupressus_goveniana",
"pygmy_cypress, cupressus_pigmaea, cupressus_goveniana_pigmaea",
"santa_cruz_cypress, cupressus_abramsiana, cupressus_goveniana_abramsiana",
"arizona_cypress, cupressus_arizonica",
"guadalupe_cypress, cupressus_guadalupensis",
"monterey_cypress, cupressus_macrocarpa",
"mexican_cypress, cedar_of_goa, portuguese_cypress, cupressus_lusitanica",
"italian_cypress, mediterranean_cypress, cupressus_sempervirens",
"king_william_pine, athrotaxis_selaginoides",
"chilean_cedar, austrocedrus_chilensis",
"incense_cedar, red_cedar, calocedrus_decurrens, libocedrus_decurrens",
"southern_white_cedar, coast_white_cedar, atlantic_white_cedar, white_cypress, white_cedar, chamaecyparis_thyoides",
"oregon_cedar, port_orford_cedar, lawson's_cypress, lawson's_cedar, chamaecyparis_lawsoniana",
"yellow_cypress, yellow_cedar, nootka_cypress, alaska_cedar, chamaecyparis_nootkatensis",
"japanese_cedar, japan_cedar, sugi, cryptomeria_japonica",
"juniper_berry",
"incense_cedar",
"kawaka, libocedrus_plumosa",
"pahautea, libocedrus_bidwillii, mountain_pine",
"metasequoia, dawn_redwood, metasequoia_glyptostrodoides",
"arborvitae",
"western_red_cedar, red_cedar, canoe_cedar, thuja_plicata",
"american_arborvitae, northern_white_cedar, white_cedar, thuja_occidentalis",
"oriental_arborvitae, thuja_orientalis, platycladus_orientalis",
"hiba_arborvitae, thujopsis_dolobrata",
"keteleeria",
"wollemi_pine",
"araucaria",
"monkey_puzzle, chile_pine, araucaria_araucana",
"norfolk_island_pine, araucaria_heterophylla, araucaria_excelsa",
"new_caledonian_pine, araucaria_columnaris",
"bunya_bunya, bunya_bunya_tree, araucaria_bidwillii",
"hoop_pine, moreton_bay_pine, araucaria_cunninghamii",
"kauri_pine, dammar_pine",
"kauri, kaury, agathis_australis",
"amboina_pine, amboyna_pine, agathis_dammara, agathis_alba",
"dundathu_pine, queensland_kauri, smooth_bark_kauri, agathis_robusta",
"red_kauri, agathis_lanceolata",
"plum-yew",
"california_nutmeg, nutmeg-yew, torreya_californica",
"stinking_cedar, stinking_yew, torrey_tree, torreya_taxifolia",
"celery_pine",
"celery_top_pine, celery-topped_pine, phyllocladus_asplenifolius",
"tanekaha, phyllocladus_trichomanoides",
"alpine_celery_pine, phyllocladus_alpinus",
"yellowwood, yellowwood_tree",
"gymnospermous_yellowwood",
"podocarp",
"yacca, yacca_podocarp, podocarpus_coriaceus",
"brown_pine, rockingham_podocarp, podocarpus_elatus",
"cape_yellowwood, african_yellowwood, podocarpus_elongatus",
"south-african_yellowwood, podocarpus_latifolius",
"alpine_totara, podocarpus_nivalis",
"totara, podocarpus_totara",
"common_yellowwood, bastard_yellowwood, afrocarpus_falcata",
"kahikatea, new_zealand_dacryberry, new_zealand_white_pine, dacrycarpus_dacrydioides, podocarpus_dacrydioides",
"rimu, imou_pine, red_pine, dacrydium_cupressinum",
"tarwood, tar-wood, dacrydium_colensoi",
"common_sickle_pine, falcatifolium_falciforme",
"yellow-leaf_sickle_pine, falcatifolium_taxoides",
"tarwood, tar-wood, new_zealand_mountain_pine, halocarpus_bidwilli, dacrydium_bidwilli",
"westland_pine, silver_pine, lagarostrobus_colensoi",
"huon_pine, lagarostrobus_franklinii, dacrydium_franklinii",
"chilean_rimu, lepidothamnus_fonkii",
"mountain_rimu, lepidothamnus_laxifolius, dacridium_laxifolius",
"nagi, nageia_nagi",
"miro, black_pine, prumnopitys_ferruginea, podocarpus_ferruginea",
"matai, black_pine, prumnopitys_taxifolia, podocarpus_spicata",
"plum-fruited_yew, prumnopitys_andina, prumnopitys_elegans",
"prince_albert_yew, prince_albert's_yew, saxe-gothea_conspicua",
"sundacarpus_amara, prumnopitys_amara, podocarpus_amara",
"japanese_umbrella_pine, sciadopitys_verticillata",
"yew",
"old_world_yew, english_yew, taxus_baccata",
"pacific_yew, california_yew, western_yew, taxus_brevifolia",
"japanese_yew, taxus_cuspidata",
"florida_yew, taxus_floridana",
"new_caledonian_yew, austrotaxus_spicata",
"white-berry_yew, pseudotaxus_chienii",
"ginkgo, gingko, maidenhair_tree, ginkgo_biloba",
"angiosperm, flowering_plant",
"dicot, dicotyledon, magnoliopsid, exogen",
"monocot, monocotyledon, liliopsid, endogen",
"floret, floweret",
"flower",
"bloomer",
"wildflower, wild_flower",
"apetalous_flower",
"inflorescence",
"rosebud",
"gynostegium",
"pollinium",
"pistil",
"gynobase",
"gynophore",
"stylopodium",
"carpophore",
"cornstalk, corn_stalk",
"petiolule",
"mericarp",
"micropyle",
"germ_tube",
"pollen_tube",
"gemma",
"galbulus",
"nectary, honey_gland",
"pericarp, seed_vessel",
"epicarp, exocarp",
"mesocarp",
"pip",
"silique, siliqua",
"cataphyll",
"perisperm",
"monocarp, monocarpic_plant, monocarpous_plant",
"sporophyte",
"gametophyte",
"megasporangium, macrosporangium",
"microspore",
"microsporangium",
"microsporophyll",
"archespore, archesporium",
"bonduc_nut, nicker_nut, nicker_seed",
"job's_tears",
"oilseed, oil-rich_seed",
"castor_bean",
"cottonseed",
"candlenut",
"peach_pit",
"hypanthium, floral_cup, calyx_tube",
"petal, flower_petal",
"corolla",
"lip",
"perianth, chlamys, floral_envelope, perigone, perigonium",
"thistledown",
"custard_apple, custard_apple_tree",
"cherimoya, cherimoya_tree, annona_cherimola",
"ilama, ilama_tree, annona_diversifolia",
"soursop, prickly_custard_apple, soursop_tree, annona_muricata",
"bullock's_heart, bullock's_heart_tree, bullock_heart, annona_reticulata",
"sweetsop, sweetsop_tree, annona_squamosa",
"pond_apple, pond-apple_tree, annona_glabra",
"pawpaw, papaw, papaw_tree, asimina_triloba",
"ilang-ilang, ylang-ylang, cananga_odorata",
"lancewood, lancewood_tree, oxandra_lanceolata",
"guinea_pepper, negro_pepper, xylopia_aethiopica",
"barberry",
"american_barberry, berberis_canadensis",
"common_barberry, european_barberry, berberis_vulgaris",
"japanese_barberry, berberis_thunbergii",
"oregon_grape, oregon_holly_grape, hollygrape, mountain_grape, holly-leaves_barberry, mahonia_aquifolium",
"oregon_grape, mahonia_nervosa",
"mayapple, may_apple, wild_mandrake, podophyllum_peltatum",
"may_apple",
"allspice",
"carolina_allspice, strawberry_shrub, strawberry_bush, sweet_shrub, calycanthus_floridus",
"spicebush, california_allspice, calycanthus_occidentalis",
"katsura_tree, cercidiphyllum_japonicum",
"laurel",
"true_laurel, bay, bay_laurel, bay_tree, laurus_nobilis",
"camphor_tree, cinnamomum_camphora",
"cinnamon, ceylon_cinnamon, ceylon_cinnamon_tree, cinnamomum_zeylanicum",
"cassia, cassia-bark_tree, cinnamomum_cassia",
"cassia_bark, chinese_cinnamon",
"saigon_cinnamon, cinnamomum_loureirii",
"cinnamon_bark",
"spicebush, spice_bush, american_spicebush, benjamin_bush, lindera_benzoin, benzoin_odoriferum",
"avocado, avocado_tree, persea_americana",
"laurel-tree, red_bay, persea_borbonia",
"sassafras, sassafras_tree, sassafras_albidum",
"california_laurel, california_bay_tree, oregon_myrtle, pepperwood, spice_tree, sassafras_laurel, california_olive, mountain_laurel, umbellularia_californica",
"anise_tree",
"purple_anise, illicium_floridanum",
"star_anise, illicium_anisatum",
"star_anise, chinese_anise, illicium_verum",
"magnolia",
"southern_magnolia, evergreen_magnolia, large-flowering_magnolia, bull_bay, magnolia_grandiflora",
"umbrella_tree, umbrella_magnolia, elkwood, elk-wood, magnolia_tripetala",
"earleaved_umbrella_tree, magnolia_fraseri",
"cucumber_tree, magnolia_acuminata",
"large-leaved_magnolia, large-leaved_cucumber_tree, great-leaved_macrophylla, magnolia_macrophylla",
"saucer_magnolia, chinese_magnolia, magnolia_soulangiana",
"star_magnolia, magnolia_stellata",
"sweet_bay, swamp_bay, swamp_laurel, magnolia_virginiana",
"manglietia, genus_manglietia",
"tulip_tree, tulip_poplar, yellow_poplar, canary_whitewood, liriodendron_tulipifera",
"moonseed",
"common_moonseed, canada_moonseed, yellow_parilla, menispermum_canadense",
"carolina_moonseed, cocculus_carolinus",
"nutmeg, nutmeg_tree, myristica_fragrans",
"water_nymph, fragrant_water_lily, pond_lily, nymphaea_odorata",
"european_white_lily, nymphaea_alba",
"southern_spatterdock, nuphar_sagittifolium",
"lotus, indian_lotus, sacred_lotus, nelumbo_nucifera",
"water_chinquapin, american_lotus, yanquapin, nelumbo_lutea",
"water-shield, fanwort, cabomba_caroliniana",
"water-shield, brasenia_schreberi, water-target",
"peony, paeony",
"buttercup, butterflower, butter-flower, crowfoot, goldcup, kingcup",
"meadow_buttercup, tall_buttercup, tall_crowfoot, tall_field_buttercup, ranunculus_acris",
"water_crowfoot, water_buttercup, ranunculus_aquatilis",
"lesser_celandine, pilewort, ranunculus_ficaria",
"lesser_spearwort, ranunculus_flammula",
"greater_spearwort, ranunculus_lingua",
"western_buttercup, ranunculus_occidentalis",
"creeping_buttercup, creeping_crowfoot, ranunculus_repens",
"cursed_crowfoot, celery-leaved_buttercup, ranunculus_sceleratus",
"aconite",
"monkshood, helmetflower, helmet_flower, aconitum_napellus",
"wolfsbane, wolfbane, wolf's_bane, aconitum_lycoctonum",
"baneberry, cohosh, herb_christopher",
"baneberry",
"red_baneberry, redberry, red-berry, snakeberry, actaea_rubra",
"pheasant's-eye, adonis_annua",
"anemone, windflower",
"alpine_anemone, mountain_anemone, anemone_tetonensis",
"canada_anemone, anemone_canadensis",
"thimbleweed, anemone_cylindrica",
"wood_anemone, anemone_nemorosa",
"wood_anemone, snowdrop, anemone_quinquefolia",
"longheaded_thimbleweed, anemone_riparia",
"snowdrop_anemone, snowdrop_windflower, anemone_sylvestris",
"virginia_thimbleweed, anemone_virginiana",
"rue_anemone, anemonella_thalictroides",
"columbine, aquilegia, aquilege",
"meeting_house, honeysuckle, aquilegia_canadensis",
"blue_columbine, aquilegia_caerulea, aquilegia_scopulorum_calcarea",
"granny's_bonnets, aquilegia_vulgaris",
"marsh_marigold, kingcup, meadow_bright, may_blob, cowslip, water_dragon, caltha_palustris",
"american_bugbane, summer_cohosh, cimicifuga_americana",
"black_cohosh, black_snakeroot, rattle-top, cimicifuga_racemosa",
"fetid_bugbane, foetid_bugbane, cimicifuga_foetida",
"clematis",
"pine_hyacinth, clematis_baldwinii, viorna_baldwinii",
"blue_jasmine, blue_jessamine, curly_clematis, marsh_clematis, clematis_crispa",
"golden_clematis, clematis_tangutica",
"scarlet_clematis, clematis_texensis",
"leather_flower, clematis_versicolor",
"leather_flower, vase-fine, vase_vine, clematis_viorna",
"virgin's_bower, old_man's_beard, devil's_darning_needle, clematis_virginiana",
"purple_clematis, purple_virgin's_bower, mountain_clematis, clematis_verticillaris",
"goldthread, golden_thread, coptis_groenlandica, coptis_trifolia_groenlandica",
"rocket_larkspur, consolida_ambigua, delphinium_ajacis",
"delphinium",
"larkspur",
"winter_aconite, eranthis_hyemalis",
"lenten_rose, black_hellebore, helleborus_orientalis",
"green_hellebore, helleborus_viridis",
"hepatica, liverleaf",
"goldenseal, golden_seal, yellow_root, turmeric_root, hydrastis_canadensis",
"false_rue_anemone, false_rue, isopyrum_biternatum",
"giant_buttercup, laccopetalum_giganteum",
"nigella",
"love-in-a-mist, nigella_damascena",
"fennel_flower, nigella_hispanica",
"black_caraway, nutmeg_flower, roman_coriander, nigella_sativa",
"pasqueflower, pasque_flower",
"meadow_rue",
"false_bugbane, trautvetteria_carolinensis",
"globeflower, globe_flower",
"winter's_bark, winter's_bark_tree, drimys_winteri",
"pepper_shrub, pseudowintera_colorata, wintera_colorata",
"sweet_gale, scotch_gale, myrica_gale",
"wax_myrtle",
"bay_myrtle, puckerbush, myrica_cerifera",
"bayberry, candleberry, swamp_candleberry, waxberry, myrica_pensylvanica",
"sweet_fern, comptonia_peregrina, comptonia_asplenifolia",
"corkwood, corkwood_tree, leitneria_floridana",
"jointed_rush, juncus_articulatus",
"toad_rush, juncus_bufonius",
"slender_rush, juncus_tenuis",
"zebrawood, zebrawood_tree",
"connarus_guianensis",
"legume, leguminous_plant",
"legume",
"peanut",
"granadilla_tree, granadillo, brya_ebenus",
"arariba, centrolobium_robustum",
"tonka_bean, coumara_nut",
"courbaril, hymenaea_courbaril",
"melilotus, melilot, sweet_clover",
"darling_pea, poison_bush",
"smooth_darling_pea, swainsona_galegifolia",
"clover, trefoil",
"alpine_clover, trifolium_alpinum",
"hop_clover, shamrock, lesser_yellow_trefoil, trifolium_dubium",
"crimson_clover, italian_clover, trifolium_incarnatum",
"red_clover, purple_clover, trifolium_pratense",
"buffalo_clover, trifolium_reflexum, trifolium_stoloniferum",
"white_clover, dutch_clover, shamrock, trifolium_repens",
"mimosa",
"acacia",
"shittah, shittah_tree",
"wattle",
"black_wattle, acacia_auriculiformis",
"gidgee, stinking_wattle, acacia_cambegei",
"catechu, jerusalem_thorn, acacia_catechu",
"silver_wattle, mimosa, acacia_dealbata",
"huisache, cassie, mimosa_bush, sweet_wattle, sweet_acacia, scented_wattle, flame_tree, acacia_farnesiana",
"lightwood, acacia_melanoxylon",
"golden_wattle, acacia_pycnantha",
"fever_tree, acacia_xanthophloea",
"coralwood, coral-wood, red_sandalwood, barbados_pride, peacock_flower_fence, adenanthera_pavonina",
"albizzia, albizia",
"silk_tree, albizia_julibrissin, albizzia_julibrissin",
"siris, siris_tree, albizia_lebbeck, albizzia_lebbeck",
"rain_tree, saman, monkeypod, monkey_pod, zaman, zamang, albizia_saman",
"calliandra",
"conacaste, elephant's_ear, enterolobium_cyclocarpa",
"inga",
"ice-cream_bean, inga_edulis",
"guama, inga_laurina",
"lead_tree, white_popinac, leucaena_glauca, leucaena_leucocephala",
"wild_tamarind, lysiloma_latisiliqua, lysiloma_bahamensis",
"sabicu, lysiloma_sabicu",
"nitta_tree",
"parkia_javanica",
"manila_tamarind, camachile, huamachil, wild_tamarind, pithecellobium_dulce",
"cat's-claw, catclaw, black_bead, pithecellodium_unguis-cati",
"honey_mesquite, western_honey_mesquite, prosopis_glandulosa",
"algarroba, algarrobilla, algarobilla",
"screw_bean, screwbean, tornillo, screwbean_mesquite, prosopis_pubescens",
"screw_bean",
"dogbane",
"indian_hemp, rheumatism_weed, apocynum_cannabinum",
"bushman's_poison, ordeal_tree, acocanthera_oppositifolia, acocanthera_venenata",
"impala_lily, mock_azalia, desert_rose, kudu_lily, adenium_obesum, adenium_multiflorum",
"allamanda",
"common_allamanda, golden_trumpet, allamanda_cathartica",
"dita, dita_bark, devil_tree, alstonia_scholaris",
"nepal_trumpet_flower, easter_lily_vine, beaumontia_grandiflora",
"carissa",
"hedge_thorn, natal_plum, carissa_bispinosa",
"natal_plum, amatungulu, carissa_macrocarpa, carissa_grandiflora",
"periwinkle, rose_periwinkle, madagascar_periwinkle, old_maid, cape_periwinkle, red_periwinkle, cayenne_jasmine, catharanthus_roseus, vinca_rosea",
"ivory_tree, conessi, kurchi, kurchee, holarrhena_pubescens, holarrhena_antidysenterica",
"white_dipladenia, mandevilla_boliviensis, dipladenia_boliviensis",
"chilean_jasmine, mandevilla_laxa",
"oleander, rose_bay, nerium_oleander",
"frangipani, frangipanni",
"west_indian_jasmine, pagoda_tree, plumeria_alba",
"rauwolfia, rauvolfia",
"snakewood, rauwolfia_serpentina",
"strophanthus_kombe",
"yellow_oleander, thevetia_peruviana, thevetia_neriifolia",
"myrtle, vinca_minor",
"large_periwinkle, vinca_major",
"arum, aroid",
"cuckoopint, lords-and-ladies, jack-in-the-pulpit, arum_maculatum",
"black_calla, arum_palaestinum",
"calamus",
"alocasia, elephant's_ear, elephant_ear",
"giant_taro, alocasia_macrorrhiza",
"amorphophallus",
"pungapung, telingo_potato, elephant_yam, amorphophallus_paeonifolius, amorphophallus_campanulatus",
"devil's_tongue, snake_palm, umbrella_arum, amorphophallus_rivieri",
"anthurium, tailflower, tail-flower",
"flamingo_flower, flamingo_plant, anthurium_andraeanum, anthurium_scherzerianum",
"jack-in-the-pulpit, indian_turnip, wake-robin, arisaema_triphyllum, arisaema_atrorubens",
"friar's-cowl, arisarum_vulgare",
"caladium",
"caladium_bicolor",
"wild_calla, water_arum, calla_palustris",
"taro, taro_plant, dalo, dasheen, colocasia_esculenta",
"taro, cocoyam, dasheen, eddo",
"cryptocoryne, water_trumpet",
"dracontium",
"golden_pothos, pothos, ivy_arum, epipremnum_aureum, scindapsus_aureus",
"skunk_cabbage, lysichiton_americanum",
"monstera",
"ceriman, monstera_deliciosa",
"nephthytis",
"nephthytis_afzelii",
"arrow_arum",
"green_arrow_arum, tuckahoe, peltandra_virginica",
"philodendron",
"pistia, water_lettuce, water_cabbage, pistia_stratiotes, pistia_stratoites",
"pothos",
"spathiphyllum, peace_lily, spathe_flower",
"skunk_cabbage, polecat_weed, foetid_pothos, symplocarpus_foetidus",
"yautia, tannia, spoonflower, malanga, xanthosoma_sagittifolium, xanthosoma_atrovirens",
"calla_lily, calla, arum_lily, zantedeschia_aethiopica",
"pink_calla, zantedeschia_rehmanii",
"golden_calla",
"duckweed",
"common_duckweed, lesser_duckweed, lemna_minor",
"star-duckweed, lemna_trisulca",
"great_duckweed, water_flaxseed, spirodela_polyrrhiza",
"watermeal",
"common_wolffia, wolffia_columbiana",
"aralia",
"american_angelica_tree, devil's_walking_stick, hercules'-club, aralia_spinosa",
"american_spikenard, petty_morel, life-of-man, aralia_racemosa",
"bristly_sarsaparilla, bristly_sarsparilla, dwarf_elder, aralia_hispida",
"japanese_angelica_tree, aralia_elata",
"chinese_angelica, chinese_angelica_tree, aralia_stipulata",
"ivy, common_ivy, english_ivy, hedera_helix",
"puka, meryta_sinclairii",
"ginseng, nin-sin, panax_ginseng, panax_schinseng, panax_pseudoginseng",
"ginseng",
"umbrella_tree, schefflera_actinophylla, brassaia_actinophylla",
"birthwort, aristolochia_clematitis",
"dutchman's-pipe, pipe_vine, aristolochia_macrophylla, aristolochia_durior",
"virginia_snakeroot, virginia_serpentaria, virginia_serpentary, aristolochia_serpentaria",
"canada_ginger, black_snakeroot, asarum_canadense",
"heartleaf, heart-leaf, asarum_virginicum",
"heartleaf, heart-leaf, asarum_shuttleworthii",
"asarabacca, asarum_europaeum",
"caryophyllaceous_plant",
"corn_cockle, corn_campion, crown-of-the-field, agrostemma_githago",
"sandwort",
"mountain_sandwort, mountain_starwort, mountain_daisy, arenaria_groenlandica",
"pine-barren_sandwort, longroot, arenaria_caroliniana",
"seabeach_sandwort, arenaria_peploides",
"rock_sandwort, arenaria_stricta",
"thyme-leaved_sandwort, arenaria_serpyllifolia",
"mouse-ear_chickweed, mouse_eared_chickweed, mouse_ear, clammy_chickweed, chickweed",
"snow-in-summer, love-in-a-mist, cerastium_tomentosum",
"alpine_mouse-ear, arctic_mouse-ear, cerastium_alpinum",
"pink, garden_pink",
"sweet_william, dianthus_barbatus",
"carnation, clove_pink, gillyflower, dianthus_caryophyllus",
"china_pink, rainbow_pink, dianthus_chinensis",
"japanese_pink, dianthus_chinensis_heddewigii",
"maiden_pink, dianthus_deltoides",
"cheddar_pink, diangus_gratianopolitanus",
"button_pink, dianthus_latifolius",
"cottage_pink, grass_pink, dianthus_plumarius",
"fringed_pink, dianthus_supurbus",
"drypis",
"baby's_breath, babies'-breath, gypsophila_paniculata",
"coral_necklace, illecebrum_verticullatum",
"lychnis, catchfly",
"ragged_robin, cuckoo_flower, lychnis_flos-cuculi, lychins_floscuculi",
"scarlet_lychnis, maltese_cross, lychins_chalcedonica",
"mullein_pink, rose_campion, gardener's_delight, dusty_miller, lychnis_coronaria",
"sandwort, moehringia_lateriflora",
"sandwort, moehringia_mucosa",
"soapwort, hedge_pink, bouncing_bet, bouncing_bess, saponaria_officinalis",
"knawel, knawe, scleranthus_annuus",
"silene, campion, catchfly",
"moss_campion, silene_acaulis",
"wild_pink, silene_caroliniana",
"red_campion, red_bird's_eye, silene_dioica, lychnis_dioica",
"white_campion, evening_lychnis, white_cockle, bladder_campion, silene_latifolia, lychnis_alba",
"fire_pink, silene_virginica",
"bladder_campion, silene_uniflora, silene_vulgaris",
"corn_spurry, corn_spurrey, spergula_arvensis",
"sand_spurry, sea_spurry, spergularia_rubra",
"chickweed",
"common_chickweed, stellaria_media",
"cowherb, cow_cockle, vaccaria_hispanica, vaccaria_pyramidata, saponaria_vaccaria",
"hottentot_fig, hottentot's_fig, sour_fig, carpobrotus_edulis, mesembryanthemum_edule",
"livingstone_daisy, dorotheanthus_bellidiformis",
"fig_marigold, pebble_plant",
"ice_plant, icicle_plant, mesembryanthemum_crystallinum",
"new_zealand_spinach, tetragonia_tetragonioides, tetragonia_expansa",
"amaranth",
"amaranth",
"tumbleweed, amaranthus_albus, amaranthus_graecizans",
"prince's-feather, gentleman's-cane, prince's-plume, red_amaranth, purple_amaranth, amaranthus_cruentus, amaranthus_hybridus_hypochondriacus, amaranthus_hybridus_erythrostachys",
"pigweed, amaranthus_hypochondriacus",
"thorny_amaranth, amaranthus_spinosus",
"alligator_weed, alligator_grass, alternanthera_philoxeroides",
"cockscomb, common_cockscomb, celosia_cristata, celosia_argentea_cristata",
"cottonweed",
"globe_amaranth, bachelor's_button, gomphrena_globosa",
"bloodleaf",
"saltwort, batis_maritima",
"lamb's-quarters, pigweed, wild_spinach, chenopodium_album",
"good-king-henry, allgood, fat_hen, wild_spinach, chenopodium_bonus-henricus",
"jerusalem_oak, feather_geranium, mexican_tea, chenopodium_botrys, atriplex_mexicana",
"oak-leaved_goosefoot, oakleaf_goosefoot, chenopodium_glaucum",
"sowbane, red_goosefoot, chenopodium_hybridum",
"nettle-leaved_goosefoot, nettleleaf_goosefoot, chenopodium_murale",
"red_goosefoot, french_spinach, chenopodium_rubrum",
"stinking_goosefoot, chenopodium_vulvaria",
"orach, orache",
"saltbush",
"garden_orache, mountain_spinach, atriplex_hortensis",
"desert_holly, atriplex_hymenelytra",
"quail_bush, quail_brush, white_thistle, atriplex_lentiformis",
"beet, common_beet, beta_vulgaris",
"beetroot, beta_vulgaris_rubra",
"chard, swiss_chard, spinach_beet, leaf_beet, chard_plant, beta_vulgaris_cicla",
"mangel-wurzel, mangold-wurzel, mangold, beta_vulgaris_vulgaris",
"winged_pigweed, tumbleweed, cycloloma_atriplicifolium",
"halogeton, halogeton_glomeratus",
"glasswort, samphire, salicornia_europaea",
"saltwort, barilla, glasswort, kali, kelpwort, salsola_kali, salsola_soda",
"russian_thistle, russian_tumbleweed, russian_cactus, tumbleweed, salsola_kali_tenuifolia",
"greasewood, black_greasewood, sarcobatus_vermiculatus",
"scarlet_musk_flower, nyctaginia_capitata",
"sand_verbena",
"sweet_sand_verbena, abronia_fragrans",
"yellow_sand_verbena, abronia_latifolia",
"beach_pancake, abronia_maritima",
"beach_sand_verbena, pink_sand_verbena, abronia_umbellata",
"desert_sand_verbena, abronia_villosa",
"trailing_four_o'clock, trailing_windmills, allionia_incarnata",
"bougainvillea",
"umbrellawort",
"four_o'clock",
"common_four-o'clock, marvel-of-peru, mirabilis_jalapa, mirabilis_uniflora",
"california_four_o'clock, mirabilis_laevis, mirabilis_californica",
"sweet_four_o'clock, maravilla, mirabilis_longiflora",
"desert_four_o'clock, colorado_four_o'clock, maravilla, mirabilis_multiflora",
"mountain_four_o'clock, mirabilis_oblongifolia",
"cockspur, pisonia_aculeata",
"rattail_cactus, rat's-tail_cactus, aporocactus_flagelliformis",
"saguaro, sahuaro, carnegiea_gigantea",
"night-blooming_cereus",
"echinocactus, barrel_cactus",
"hedgehog_cactus",
"golden_barrel_cactus, echinocactus_grusonii",
"hedgehog_cereus",
"rainbow_cactus",
"epiphyllum, orchid_cactus",
"barrel_cactus",
"night-blooming_cereus",
"chichipe, lemaireocereus_chichipe",
"mescal, mezcal, peyote, lophophora_williamsii",
"mescal_button, sacred_mushroom, magic_mushroom",
"mammillaria",
"feather_ball, mammillaria_plumosa",
"garambulla, garambulla_cactus, myrtillocactus_geometrizans",
"knowlton's_cactus, pediocactus_knowltonii",
"nopal",
"prickly_pear, prickly_pear_cactus",
"cholla, opuntia_cholla",
"nopal, opuntia_lindheimeri",
"tuna, opuntia_tuna",
"barbados_gooseberry, barbados-gooseberry_vine, pereskia_aculeata",
"mistletoe_cactus",
"christmas_cactus, schlumbergera_buckleyi, schlumbergera_baridgesii",
"night-blooming_cereus",
"crab_cactus, thanksgiving_cactus, zygocactus_truncatus, schlumbergera_truncatus",
"pokeweed",
"indian_poke, phytolacca_acinosa",
"poke, pigeon_berry, garget, scoke, phytolacca_americana",
"ombu, bella_sombra, phytolacca_dioica",
"bloodberry, blood_berry, rougeberry, rouge_plant, rivina_humilis",
"portulaca",
"rose_moss, sun_plant, portulaca_grandiflora",
"common_purslane, pussley, pussly, verdolagas, portulaca_oleracea",
"rock_purslane",
"red_maids, redmaids, calandrinia_ciliata",
"carolina_spring_beauty, claytonia_caroliniana",
"spring_beauty, clatonia_lanceolata",
"virginia_spring_beauty, claytonia_virginica",
"siskiyou_lewisia, lewisia_cotyledon",
"bitterroot, lewisia_rediviva",
"broad-leaved_montia, montia_cordifolia",
"blinks, blinking_chickweed, water_chickweed, montia_lamprosperma",
"toad_lily, montia_chamissoi",
"winter_purslane, miner's_lettuce, cuban_spinach, montia_perfoliata",
"flame_flower, flame-flower, flameflower, talinum_aurantiacum",
"pigmy_talinum, talinum_brevifolium",
"jewels-of-opar, talinum_paniculatum",
"caper",
"native_pomegranate, capparis_arborea",
"caper_tree, jamaica_caper_tree, capparis_cynophallophora",
"caper_tree, bay-leaved_caper, capparis_flexuosa",
"common_caper, capparis_spinosa",
"spiderflower, cleome",
"rocky_mountain_bee_plant, stinking_clover, cleome_serrulata",
"clammyweed, polanisia_graveolens, polanisia_dodecandra",
"crucifer, cruciferous_plant",
"cress, cress_plant",
"watercress",
"stonecress, stone_cress",
"garlic_mustard, hedge_garlic, sauce-alone, jack-by-the-hedge, alliaria_officinalis",
"alyssum, madwort",
"rose_of_jericho, resurrection_plant, anastatica_hierochuntica",
"arabidopsis_thaliana, mouse-ear_cress",
"arabidopsis_lyrata",
"rock_cress, rockcress",
"sicklepod, arabis_canadensis",
"tower_mustard, tower_cress, turritis_glabra, arabis_glabra",
"horseradish, horseradish_root",
"winter_cress, st._barbara's_herb, scurvy_grass",
"yellow_rocket, rockcress, rocket_cress, barbarea_vulgaris, sisymbrium_barbarea",
"hoary_alison, hoary_alyssum, berteroa_incana",
"buckler_mustard, biscutalla_laevigata",
"wild_cabbage, brassica_oleracea",
"cabbage, cultivated_cabbage, brassica_oleracea",
"head_cabbage, head_cabbage_plant, brassica_oleracea_capitata",
"savoy_cabbage",
"brussels_sprout, brassica_oleracea_gemmifera",
"cauliflower, brassica_oleracea_botrytis",
"broccoli, brassica_oleracea_italica",
"collard",
"kohlrabi, brassica_oleracea_gongylodes",
"turnip_plant",
"turnip, white_turnip, brassica_rapa",
"rutabaga, turnip_cabbage, swede, swedish_turnip, rutabaga_plant, brassica_napus_napobrassica",
"broccoli_raab, broccoli_rabe, brassica_rapa_ruvo",
"mustard",
"chinese_mustard, indian_mustard, leaf_mustard, gai_choi, brassica_juncea",
"bok_choy, bok_choi, pakchoi, pak_choi, chinese_white_cabbage, brassica_rapa_chinensis",
"rape, colza, brassica_napus",
"rapeseed",
"shepherd's_purse, shepherd's_pouch, capsella_bursa-pastoris",
"lady's_smock, cuckooflower, cuckoo_flower, meadow_cress, cardamine_pratensis",
"coral-root_bittercress, coralroot, coralwort, cardamine_bulbifera, dentaria_bulbifera",
"crinkleroot, crinkle-root, crinkle_root, pepper_root, toothwort, cardamine_diphylla, dentaria_diphylla",
"american_watercress, mountain_watercress, cardamine_rotundifolia",
"spring_cress, cardamine_bulbosa",
"purple_cress, cardamine_douglasii",
"wallflower, cheiranthus_cheiri, erysimum_cheiri",
"prairie_rocket",
"scurvy_grass, common_scurvy_grass, cochlearia_officinalis",
"sea_kale, sea_cole, crambe_maritima",
"tansy_mustard, descurainia_pinnata",
"draba",
"wallflower",
"prairie_rocket",
"siberian_wall_flower, erysimum_allionii, cheiranthus_allionii",
"western_wall_flower, erysimum_asperum, cheiranthus_asperus, erysimum_arkansanum",
"wormseed_mustard, erysimum_cheiranthoides",
"heliophila",
"damask_violet, dame's_violet, sweet_rocket, hesperis_matronalis",
"tansy-leaved_rocket, hugueninia_tanacetifolia, sisymbrium_tanacetifolia",
"candytuft",
"woad",
"dyer's_woad, isatis_tinctoria",
"bladderpod",
"sweet_alyssum, sweet_alison, lobularia_maritima",
"malcolm_stock, stock",
"virginian_stock, virginia_stock, malcolmia_maritima",
"stock, gillyflower",
"brompton_stock, matthiola_incana",
"bladderpod",
"chamois_cress, pritzelago_alpina, lepidium_alpina",
"radish_plant, radish",
"jointed_charlock, wild_radish, wild_rape, runch, raphanus_raphanistrum",
"radish, raphanus_sativus",
"radish, daikon, japanese_radish, raphanus_sativus_longipinnatus",
"marsh_cress, yellow_watercress, rorippa_islandica",
"great_yellowcress, rorippa_amphibia, nasturtium_amphibium",
"schizopetalon, schizopetalon_walkeri",
"field_mustard, wild_mustard, charlock, chadlock, brassica_kaber, sinapis_arvensis",
"hedge_mustard, sisymbrium_officinale",
"desert_plume, prince's-plume, stanleya_pinnata, cleome_pinnata",
"pennycress",
"field_pennycress, french_weed, fanweed, penny_grass, stinkweed, mithridate_mustard, thlaspi_arvense",
"fringepod, lacepod",
"bladderpod",
"wasabi",
"poppy",
"iceland_poppy, papaver_alpinum",
"western_poppy, papaver_californicum",
"prickly_poppy, papaver_argemone",
"iceland_poppy, arctic_poppy, papaver_nudicaule",
"oriental_poppy, papaver_orientale",
"corn_poppy, field_poppy, flanders_poppy, papaver_rhoeas",
"opium_poppy, papaver_somniferum",
"prickly_poppy, argemone, white_thistle, devil's_fig",
"mexican_poppy, argemone_mexicana",
"bocconia, tree_celandine, bocconia_frutescens",
"celandine, greater_celandine, swallowwort, swallow_wort, chelidonium_majus",
"corydalis",
"climbing_corydalis, corydalis_claviculata, fumaria_claviculata",
"california_poppy, eschscholtzia_californica",
"horn_poppy, horned_poppy, yellow_horned_poppy, sea_poppy, glaucium_flavum",
"golden_cup, mexican_tulip_poppy, hunnemania_fumariifolia",
"plume_poppy, bocconia, macleaya_cordata",
"blue_poppy, meconopsis_betonicifolia",
"welsh_poppy, meconopsis_cambrica",
"creamcups, platystemon_californicus",
"matilija_poppy, california_tree_poppy, romneya_coulteri",
"wind_poppy, flaming_poppy, stylomecon_heterophyllum, papaver_heterophyllum",
"celandine_poppy, wood_poppy, stylophorum_diphyllum",
"climbing_fumitory, allegheny_vine, adlumia_fungosa, fumaria_fungosa",
"bleeding_heart, lyreflower, lyre-flower, dicentra_spectabilis",
"dutchman's_breeches, dicentra_cucullaria",
"squirrel_corn, dicentra_canadensis",
"composite, composite_plant",
"compass_plant, compass_flower",
"everlasting, everlasting_flower",
"achillea",
"yarrow, milfoil, achillea_millefolium",
"pink-and-white_everlasting, pink_paper_daisy, acroclinium_roseum",
"white_snakeroot, white_sanicle, ageratina_altissima, eupatorium_rugosum",
"ageratum",
"common_ageratum, ageratum_houstonianum",
"sweet_sultan, amberboa_moschata, centaurea_moschata",
"ragweed, ambrosia, bitterweed",
"common_ragweed, ambrosia_artemisiifolia",
"great_ragweed, ambrosia_trifida",
"western_ragweed, perennial_ragweed, ambrosia_psilostachya",
"ammobium",
"winged_everlasting, ammobium_alatum",
"pellitory, pellitory-of-spain, anacyclus_pyrethrum",
"pearly_everlasting, cottonweed, anaphalis_margaritacea",
"andryala",
"plantain-leaved_pussytoes",
"field_pussytoes",
"solitary_pussytoes",
"mountain_everlasting",
"mayweed, dog_fennel, stinking_mayweed, stinking_chamomile, anthemis_cotula",
"yellow_chamomile, golden_marguerite, dyers'_chamomile, anthemis_tinctoria",
"corn_chamomile, field_chamomile, corn_mayweed, anthemis_arvensis",
"woolly_daisy, dwarf_daisy, antheropeas_wallacei, eriophyllum_wallacei",
"burdock, clotbur",
"great_burdock, greater_burdock, cocklebur, arctium_lappa",
"african_daisy",
"blue-eyed_african_daisy, arctotis_stoechadifolia, arctotis_venusta",
"marguerite, marguerite_daisy, paris_daisy, chrysanthemum_frutescens, argyranthemum_frutescens",
"silversword, argyroxiphium_sandwicense",
"arnica",
"heartleaf_arnica, arnica_cordifolia",
"arnica_montana",
"lamb_succory, dwarf_nipplewort, arnoseris_minima",
"artemisia",
"mugwort",
"sweet_wormwood, artemisia_annua",
"field_wormwood, artemisia_campestris",
"tarragon, estragon, artemisia_dracunculus",
"sand_sage, silvery_wormwood, artemisia_filifolia",
"wormwood_sage, prairie_sagewort, artemisia_frigida",
"western_mugwort, white_sage, cudweed, prairie_sage, artemisia_ludoviciana, artemisia_gnaphalodes",
"roman_wormwood, artemis_pontica",
"bud_brush, bud_sagebrush, artemis_spinescens",
"common_mugwort, artemisia_vulgaris",
"aster",
"wood_aster",
"whorled_aster, aster_acuminatus",
"heath_aster, aster_arenosus",
"heart-leaved_aster, aster_cordifolius",
"white_wood_aster, aster_divaricatus",
"bushy_aster, aster_dumosus",
"heath_aster, aster_ericoides",
"white_prairie_aster, aster_falcatus",
"stiff_aster, aster_linarifolius",
"goldilocks, goldilocks_aster, aster_linosyris, linosyris_vulgaris",
"large-leaved_aster, aster_macrophyllus",
"new_england_aster, aster_novae-angliae",
"michaelmas_daisy, new_york_aster, aster_novi-belgii",
"upland_white_aster, aster_ptarmicoides",
"short's_aster, aster_shortii",
"sea_aster, sea_starwort, aster_tripolium",
"prairie_aster, aster_turbinellis",
"annual_salt-marsh_aster",
"aromatic_aster",
"arrow_leaved_aster",
"azure_aster",
"bog_aster",
"crooked-stemmed_aster",
"eastern_silvery_aster",
"flat-topped_white_aster",
"late_purple_aster",
"panicled_aster",
"perennial_salt_marsh_aster",
"purple-stemmed_aster",
"rough-leaved_aster",
"rush_aster",
"schreiber's_aster",
"small_white_aster",
"smooth_aster",
"southern_aster",
"starved_aster, calico_aster",
"tradescant's_aster",
"wavy-leaved_aster",
"western_silvery_aster",
"willow_aster",
"ayapana, ayapana_triplinervis, eupatorium_aya-pana",
"mule_fat, baccharis_viminea",
"balsamroot",
"daisy",
"common_daisy, english_daisy, bellis_perennis",
"bur_marigold, burr_marigold, beggar-ticks, beggar's-ticks, sticktight",
"spanish_needles, bidens_bipinnata",
"tickseed_sunflower, bidens_coronata, bidens_trichosperma",
"european_beggar-ticks, trifid_beggar-ticks, trifid_bur_marigold, bidens_tripartita",
"slender_knapweed",
"false_chamomile",
"swan_river_daisy, brachycome_iberidifolia",
"woodland_oxeye, buphthalmum_salicifolium",
"indian_plantain",
"calendula",
"common_marigold, pot_marigold, ruddles, scotch_marigold, calendula_officinalis",
"china_aster, callistephus_chinensis",
"thistle",
"welted_thistle, carduus_crispus",
"musk_thistle, nodding_thistle, carduus_nutans",
"carline_thistle",
"stemless_carline_thistle, carlina_acaulis",
"common_carline_thistle, carlina_vulgaris",
"safflower, false_saffron, carthamus_tinctorius",
"safflower_seed",
"catananche",
"blue_succory, cupid's_dart, catananche_caerulea",
"centaury",
"dusty_miller, centaurea_cineraria, centaurea_gymnocarpa",
"cornflower, bachelor's_button, bluebottle, centaurea_cyanus",
"star-thistle, caltrop, centauria_calcitrapa",
"knapweed",
"sweet_sultan, centaurea_imperialis",
"great_knapweed, greater_knapweed, centaurea_scabiosa",
"barnaby's_thistle, yellow_star-thistle, centaurea_solstitialis",
"chamomile, camomile, chamaemelum_nobilis, anthemis_nobilis",
"chaenactis",
"chrysanthemum",
"corn_marigold, field_marigold, chrysanthemum_segetum",
"crown_daisy, chrysanthemum_coronarium",
"chop-suey_greens, tong_ho, shun_giku, chrysanthemum_coronarium_spatiosum",
"golden_aster",
"maryland_golden_aster, chrysopsis_mariana",
"goldenbush",
"rabbit_brush, rabbit_bush, chrysothamnus_nauseosus",
"chicory, succory, chicory_plant, cichorium_intybus",
"endive, witloof, cichorium_endivia",
"chicory, chicory_root",
"plume_thistle, plumed_thistle",
"canada_thistle, creeping_thistle, cirsium_arvense",
"field_thistle, cirsium_discolor",
"woolly_thistle, cirsium_flodmanii",
"european_woolly_thistle, cirsium_eriophorum",
"melancholy_thistle, cirsium_heterophylum, cirsium_helenioides",
"brook_thistle, cirsium_rivulare",
"bull_thistle, boar_thistle, spear_thistle, cirsium_vulgare, cirsium_lanceolatum",
"blessed_thistle, sweet_sultan, cnicus_benedictus",
"mistflower, mist-flower, ageratum, conoclinium_coelestinum, eupatorium_coelestinum",
"horseweed, canadian_fleabane, fleabane, conyza_canadensis, erigeron_canadensis",
"coreopsis, tickseed, tickweed, tick-weed",
"giant_coreopsis, coreopsis_gigantea",
"sea_dahlia, coreopsis_maritima",
"calliopsis, coreopsis_tinctoria",
"cosmos, cosmea",
"brass_buttons, cotula_coronopifolia",
"billy_buttons",
"hawk's-beard, hawk's-beards",
"artichoke, globe_artichoke, artichoke_plant, cynara_scolymus",
"cardoon, cynara_cardunculus",
"dahlia, dahlia_pinnata",
"german_ivy, delairea_odorata, senecio_milkanioides",
"florist's_chrysanthemum, florists'_chrysanthemum, mum, dendranthema_grandifloruom, chrysanthemum_morifolium",
"cape_marigold, sun_marigold, star_of_the_veldt",
"leopard's-bane, leopardbane",
"coneflower",
"globe_thistle",
"elephant's-foot",
"tassel_flower, emilia_sagitta",
"brittlebush, brittle_bush, incienso, encelia_farinosa",
"sunray, enceliopsis_nudicaulis",
"engelmannia",
"fireweed, erechtites_hieracifolia",
"fleabane",
"blue_fleabane, erigeron_acer",
"daisy_fleabane, erigeron_annuus",
"orange_daisy, orange_fleabane, erigeron_aurantiacus",
"spreading_fleabane, erigeron_divergens",
"seaside_daisy, beach_aster, erigeron_glaucous",
"philadelphia_fleabane, erigeron_philadelphicus",
"robin's_plantain, erigeron_pulchellus",
"showy_daisy, erigeron_speciosus",
"woolly_sunflower",
"golden_yarrow, eriophyllum_lanatum",
"dog_fennel, eupatorium_capillifolium",
"joe-pye_weed, spotted_joe-pye_weed, eupatorium_maculatum",
"boneset, agueweed, thoroughwort, eupatorium_perfoliatum",
"joe-pye_weed, purple_boneset, trumpet_weed, marsh_milkweed, eupatorium_purpureum",
"blue_daisy, blue_marguerite, felicia_amelloides",
"kingfisher_daisy, felicia_bergeriana",
"cotton_rose, cudweed, filago",
"herba_impia, filago_germanica",
"gaillardia",
"gazania",
"treasure_flower, gazania_rigens",
"african_daisy",
"barberton_daisy, transvaal_daisy, gerbera_jamesonii",
"desert_sunflower, gerea_canescens",
"cudweed",
"chafeweed, wood_cudweed, gnaphalium_sylvaticum",
"gumweed, gum_plant, tarweed, rosinweed",
"grindelia_robusta",
"curlycup_gumweed, grindelia_squarrosa",
"little-head_snakeweed, gutierrezia_microcephala",
"rabbitweed, rabbit-weed, snakeweed, broom_snakeweed, broom_snakeroot, turpentine_weed, gutierrezia_sarothrae",
"broomweed, broom-weed, gutierrezia_texana",
"velvet_plant, purple_velvet_plant, royal_velvet_plant, gynura_aurantiaca",
"goldenbush",
"camphor_daisy, haplopappus_phyllocephalus",
"yellow_spiny_daisy, haplopappus_spinulosus",
"hoary_golden_bush, hazardia_cana",
"sneezeweed",
"orange_sneezeweed, owlclaws, helenium_hoopesii",
"rosilla, helenium_puberulum",
"sunflower, helianthus",
"swamp_sunflower, helianthus_angustifolius",
"common_sunflower, mirasol, helianthus_annuus",
"giant_sunflower, tall_sunflower, indian_potato, helianthus_giganteus",
"showy_sunflower, helianthus_laetiflorus",
"maximilian's_sunflower, helianthus_maximilianii",
"prairie_sunflower, helianthus_petiolaris",
"jerusalem_artichoke, girasol, jerusalem_artichoke_sunflower, helianthus_tuberosus",
"jerusalem_artichoke",
"strawflower, golden_everlasting, yellow_paper_daisy, helichrysum_bracteatum",
"heliopsis, oxeye",
"strawflower",
"hairy_golden_aster, prairie_golden_aster, heterotheca_villosa, chrysopsis_villosa",
"hawkweed",
"rattlesnake_weed, hieracium_venosum",
"alpine_coltsfoot, homogyne_alpina, tussilago_alpina",
"alpine_gold, alpine_hulsea, hulsea_algida",
"dwarf_hulsea, hulsea_nana",
"cat's-ear, california_dandelion, capeweed, gosmore, hypochaeris_radicata",
"inula",
"marsh_elder, iva",
"burweed_marsh_elder, false_ragweed, iva_xanthifolia",
"krigia",
"dwarf_dandelion, krigia_dandelion, krigia_bulbosa",
"garden_lettuce, common_lettuce, lactuca_sativa",
"cos_lettuce, romaine_lettuce, lactuca_sativa_longifolia",
"leaf_lettuce, lactuca_sativa_crispa",
"celtuce, stem_lettuce, lactuca_sativa_asparagina",
"prickly_lettuce, horse_thistle, lactuca_serriola, lactuca_scariola",
"goldfields, lasthenia_chrysostoma",
"tidytips, tidy_tips, layia_platyglossa",
"hawkbit",
"fall_dandelion, arnica_bud, leontodon_autumnalis",
"edelweiss, leontopodium_alpinum",
"oxeye_daisy, ox-eyed_daisy, marguerite, moon_daisy, white_daisy, leucanthemum_vulgare, chrysanthemum_leucanthemum",
"oxeye_daisy, leucanthemum_maximum, chrysanthemum_maximum",
"shasta_daisy, leucanthemum_superbum, chrysanthemum_maximum_maximum",
"pyrenees_daisy, leucanthemum_lacustre, chrysanthemum_lacustre",
"north_island_edelweiss, leucogenes_leontopodium",
"blazing_star, button_snakeroot, gayfeather, gay-feather, snakeroot",
"dotted_gayfeather, liatris_punctata",
"dense_blazing_star, liatris_pycnostachya",
"texas_star, lindheimera_texana",
"african_daisy, yellow_ageratum, lonas_inodora, lonas_annua",
"tahoka_daisy, tansy_leaf_aster, machaeranthera_tanacetifolia",
"sticky_aster, machaeranthera_bigelovii",
"mojave_aster, machaeranthera_tortifoloia",
"tarweed",
"sweet_false_chamomile, wild_chamomile, german_chamomile, matricaria_recutita, matricaria_chamomilla",
"pineapple_weed, rayless_chamomile, matricaria_matricarioides",
"climbing_hempweed, climbing_boneset, wild_climbing_hempweed, climbing_hemp-vine, mikania_scandens",
"mutisia",
"rattlesnake_root",
"white_lettuce, cankerweed, nabalus_alba, prenanthes_alba",
"daisybush, daisy-bush, daisy_bush",
"new_zealand_daisybush, olearia_haastii",
"cotton_thistle, woolly_thistle, scotch_thistle, onopordum_acanthium, onopordon_acanthium",
"othonna",
"cascade_everlasting, ozothamnus_secundiflorus, helichrysum_secundiflorum",
"butterweed",
"american_feverfew, wild_quinine, prairie_dock, parthenium_integrifolium",
"cineraria, pericallis_cruenta, senecio_cruentus",
"florest's_cineraria, pericallis_hybrida",
"butterbur, bog_rhubarb, petasites_hybridus, petasites_vulgaris",
"winter_heliotrope, sweet_coltsfoot, petasites_fragrans",
"sweet_coltsfoot, petasites_sagitattus",
"oxtongue, bristly_oxtongue, bitterweed, bugloss, picris_echioides",
"hawkweed",
"mouse-ear_hawkweed, pilosella_officinarum, hieracium_pilocella",
"stevia",
"rattlesnake_root, prenanthes_purpurea",
"fleabane, feabane_mullet, pulicaria_dysenterica",
"sheep_plant, vegetable_sheep, raoulia_lutescens, raoulia_australis",
"coneflower",
"mexican_hat, ratibida_columnaris",
"long-head_coneflower, prairie_coneflower, ratibida_columnifera",
"prairie_coneflower, ratibida_tagetes",
"swan_river_everlasting, rhodanthe, rhodanthe_manglesii, helipterum_manglesii",
"coneflower",
"black-eyed_susan, rudbeckia_hirta, rudbeckia_serotina",
"cutleaved_coneflower, rudbeckia_laciniata",
"golden_glow, double_gold, hortensia, rudbeckia_laciniata_hortensia",
"lavender_cotton, santolina_chamaecyparissus",
"creeping_zinnia, sanvitalia_procumbens",
"golden_thistle",
"spanish_oyster_plant, scolymus_hispanicus",
"nodding_groundsel, senecio_bigelovii",
"dusty_miller, senecio_cineraria, cineraria_maritima",
"butterweed, ragwort, senecio_glabellus",
"ragwort, tansy_ragwort, ragweed, benweed, senecio_jacobaea",
"arrowleaf_groundsel, senecio_triangularis",
"black_salsify, viper's_grass, scorzonera, scorzonera_hispanica",
"white-topped_aster",
"narrow-leaved_white-topped_aster",
"silver_sage, silver_sagebrush, grey_sage, gray_sage, seriphidium_canum, artemisia_cana",
"sea_wormwood, seriphidium_maritimum, artemisia_maritima",
"sawwort, serratula_tinctoria",
"rosinweed, silphium_laciniatum",
"milk_thistle, lady's_thistle, our_lady's_mild_thistle, holy_thistle, blessed_thistle, silybum_marianum",
"goldenrod",
"silverrod, solidago_bicolor",
"meadow_goldenrod, canadian_goldenrod, solidago_canadensis",
"missouri_goldenrod, solidago_missouriensis",
"alpine_goldenrod, solidago_multiradiata",
"grey_goldenrod, gray_goldenrod, solidago_nemoralis",
"blue_mountain_tea, sweet_goldenrod, solidago_odora",
"dyer's_weed, solidago_rugosa",
"seaside_goldenrod, beach_goldenrod, solidago_sempervirens",
"narrow_goldenrod, solidago_spathulata",
"boott's_goldenrod",
"elliott's_goldenrod",
"ohio_goldenrod",
"rough-stemmed_goldenrod",
"showy_goldenrod",
"tall_goldenrod",
"zigzag_goldenrod, broad_leaved_goldenrod",
"sow_thistle, milk_thistle",
"milkweed, sonchus_oleraceus",
"stevia",
"stokes'_aster, cornflower_aster, stokesia_laevis",
"marigold",
"african_marigold, big_marigold, aztec_marigold, tagetes_erecta",
"french_marigold, tagetes_patula",
"painted_daisy, pyrethrum, tanacetum_coccineum, chrysanthemum_coccineum",
"pyrethrum, dalmatian_pyrethrum, dalmatia_pyrethrum, tanacetum_cinerariifolium, chrysanthemum_cinerariifolium",
"northern_dune_tansy, tanacetum_douglasii",
"feverfew, tanacetum_parthenium, chrysanthemum_parthenium",
"dusty_miller, silver-lace, silver_lace, tanacetum_ptarmiciflorum, chrysanthemum_ptarmiciflorum",
"tansy, golden_buttons, scented_fern, tanacetum_vulgare",
"dandelion, blowball",
"common_dandelion, taraxacum_ruderalia, taraxacum_officinale",
"dandelion_green",
"russian_dandelion, kok-saghyz, kok-sagyz, taraxacum_kok-saghyz",
"stemless_hymenoxys, tetraneuris_acaulis, hymenoxys_acaulis",
"mexican_sunflower, tithonia",
"easter_daisy, stemless_daisy, townsendia_exscapa",
"yellow_salsify, tragopogon_dubius",
"salsify, oyster_plant, vegetable_oyster, tragopogon_porrifolius",
"meadow_salsify, goatsbeard, shepherd's_clock, tragopogon_pratensis",
"scentless_camomile, scentless_false_camomile, scentless_mayweed, scentless_hayweed, corn_mayweed, tripleurospermum_inodorum, matricaria_inodorum",
"turfing_daisy, tripleurospermum_tchihatchewii, matricaria_tchihatchewii",
"coltsfoot, tussilago_farfara",
"ursinia",
"crownbeard, crown-beard, crown_beard",
"wingstem, golden_ironweed, yellow_ironweed, golden_honey_plant, verbesina_alternifolia, actinomeris_alternifolia",
"cowpen_daisy, golden_crownbeard, golden_crown_beard, butter_daisy, verbesina_encelioides, ximenesia_encelioides",
"gravelweed, verbesina_helianthoides",
"virginia_crownbeard, frostweed, frost-weed, verbesina_virginica",
"ironweed, vernonia",
"mule's_ears, wyethia_amplexicaulis",
"white-rayed_mule's_ears, wyethia_helianthoides",
"cocklebur, cockle-bur, cockleburr, cockle-burr",
"xeranthemum",
"immortelle, xeranthemum_annuum",
"zinnia, old_maid, old_maid_flower",
"white_zinnia, zinnia_acerosa",
"little_golden_zinnia, zinnia_grandiflora",
"blazing_star, mentzelia_livicaulis, mentzelia_laevicaulis",
"bartonia, mentzelia_lindleyi",
"achene",
"samara, key_fruit, key",
"campanula, bellflower",
"creeping_bellflower, campanula_rapunculoides",
"canterbury_bell, cup_and_saucer, campanula_medium",
"tall_bellflower, campanula_americana",
"marsh_bellflower, campanula_aparinoides",
"clustered_bellflower, campanula_glomerata",
"peach_bells, peach_bell, willow_bell, campanula_persicifolia",
"chimney_plant, chimney_bellflower, campanula_pyramidalis",
"rampion, rampion_bellflower, campanula_rapunculus",
"tussock_bellflower, spreading_bellflower, campanula_carpatica",
"orchid, orchidaceous_plant",
"orchis",
"male_orchis, early_purple_orchid, orchis_mascula",
"butterfly_orchid, butterfly_orchis, orchis_papilionaceae",
"showy_orchis, purple_orchis, purple-hooded_orchis, orchis_spectabilis",
"aerides",
"angrecum",
"jewel_orchid",
"puttyroot, adam-and-eve, aplectrum_hyemale",
"arethusa",
"bog_rose, wild_pink, dragon's_mouth, arethusa_bulbosa",
"bletia",
"bletilla_striata, bletia_striata",
"brassavola",
"spider_orchid, brassia_lawrenceana",
"spider_orchid, brassia_verrucosa",
"caladenia",
"calanthe",
"grass_pink, calopogon_pulchellum, calopogon_tuberosum",
"calypso, fairy-slipper, calypso_bulbosa",
"cattleya",
"helleborine",
"red_helleborine, cephalanthera_rubra",
"spreading_pogonia, funnel-crest_rosebud_orchid, cleistes_divaricata, pogonia_divaricata",
"rosebud_orchid, cleistes_rosea, pogonia_rosea",
"satyr_orchid, coeloglossum_bracteatum",
"frog_orchid, coeloglossum_viride",
"coelogyne",
"coral_root",
"spotted_coral_root, corallorhiza_maculata",
"striped_coral_root, corallorhiza_striata",
"early_coral_root, pale_coral_root, corallorhiza_trifida",
"swan_orchid, swanflower, swan-flower, swanneck, swan-neck",
"cymbid, cymbidium",
"cypripedia",
"lady's_slipper, lady-slipper, ladies'_slipper, slipper_orchid",
"moccasin_flower, nerveroot, cypripedium_acaule",
"common_lady's-slipper, showy_lady's-slipper, showy_lady_slipper, cypripedium_reginae, cypripedium_album",
"ram's-head, ram's-head_lady's_slipper, cypripedium_arietinum",
"yellow_lady's_slipper, yellow_lady-slipper, cypripedium_calceolus, cypripedium_parviflorum",
"large_yellow_lady's_slipper, cypripedium_calceolus_pubescens",
"california_lady's_slipper, cypripedium_californicum",
"clustered_lady's_slipper, cypripedium_fasciculatum",
"mountain_lady's_slipper, cypripedium_montanum",
"marsh_orchid",
"common_spotted_orchid, dactylorhiza_fuchsii, dactylorhiza_maculata_fuchsii",
"dendrobium",
"disa",
"phantom_orchid, snow_orchid, eburophyton_austinae",
"tulip_orchid, encyclia_citrina, cattleya_citrina",
"butterfly_orchid, encyclia_tampensis, epidendrum_tampense",
"butterfly_orchid, butterfly_orchis, epidendrum_venosum, encyclia_venosa",
"epidendron",
"helleborine",
"epipactis_helleborine",
"stream_orchid, chatterbox, giant_helleborine, epipactis_gigantea",
"tongueflower, tongue-flower",
"rattlesnake_plantain, helleborine",
"fragrant_orchid, gymnadenia_conopsea",
"short-spurred_fragrant_orchid, gymnadenia_odoratissima",
"fringed_orchis, fringed_orchid",
"frog_orchid",
"rein_orchid, rein_orchis",
"bog_rein_orchid, bog_candles, habenaria_dilatata",
"white_fringed_orchis, white_fringed_orchid, habenaria_albiflora",
"elegant_habenaria, habenaria_elegans",
"purple-fringed_orchid, purple-fringed_orchis, habenaria_fimbriata",
"coastal_rein_orchid, habenaria_greenei",
"hooker's_orchid, habenaria_hookeri",
"ragged_orchid, ragged_orchis, ragged-fringed_orchid, green_fringed_orchis, habenaria_lacera",
"prairie_orchid, prairie_white-fringed_orchis, habenaria_leucophaea",
"snowy_orchid, habenaria_nivea",
"round-leaved_rein_orchid, habenaria_orbiculata",
"purple_fringeless_orchid, purple_fringeless_orchis, habenaria_peramoena",
"purple-fringed_orchid, purple-fringed_orchis, habenaria_psycodes",
"alaska_rein_orchid, habenaria_unalascensis",
"crested_coral_root, hexalectris_spicata",
"texas_purple_spike, hexalectris_warnockii",
"lizard_orchid, himantoglossum_hircinum",
"laelia",
"liparis",
"twayblade",
"fen_orchid, fen_orchis, liparis_loeselii",
"broad-leaved_twayblade, listera_convallarioides",
"lesser_twayblade, listera_cordata",
"twayblade, listera_ovata",
"green_adder's_mouth, malaxis-unifolia, malaxis_ophioglossoides",
"masdevallia",
"maxillaria",
"pansy_orchid",
"odontoglossum",
"oncidium, dancing_lady_orchid, butterfly_plant, butterfly_orchid",
"bee_orchid, ophrys_apifera",
"fly_orchid, ophrys_insectifera, ophrys_muscifera",
"spider_orchid",
"early_spider_orchid, ophrys_sphegodes",
"venus'_slipper, venus's_slipper, venus's_shoe",
"phaius",
"moth_orchid, moth_plant",
"butterfly_plant, phalaenopsis_amabilis",
"rattlesnake_orchid",
"lesser_butterfly_orchid, platanthera_bifolia, habenaria_bifolia",
"greater_butterfly_orchid, platanthera_chlorantha, habenaria_chlorantha",
"prairie_white-fringed_orchid, platanthera_leucophea",
"tangle_orchid",
"indian_crocus",
"pleurothallis",
"pogonia",
"butterfly_orchid",
"psychopsis_krameriana, oncidium_papilio_kramerianum",
"psychopsis_papilio, oncidium_papilio",
"helmet_orchid, greenhood",
"foxtail_orchid",
"orange-blossom_orchid, sarcochilus_falcatus",
"sobralia",
"ladies'_tresses, lady's_tresses",
"screw_augur, spiranthes_cernua",
"hooded_ladies'_tresses, spiranthes_romanzoffiana",
"western_ladies'_tresses, spiranthes_porrifolia",
"european_ladies'_tresses, spiranthes_spiralis",
"stanhopea",
"stelis",
"fly_orchid",
"vanda",
"blue_orchid, vanda_caerulea",
"vanilla",
"vanilla_orchid, vanilla_planifolia",
"yam, yam_plant",
"yam",
"white_yam, water_yam, dioscorea_alata",
"cinnamon_vine, chinese_yam, dioscorea_batata",
"elephant's-foot, tortoise_plant, hottentot_bread_vine, hottentot's_bread_vine, dioscorea_elephantipes",
"wild_yam, dioscorea_paniculata",
"cush-cush, dioscorea_trifida",
"black_bryony, black_bindweed, tamus_communis",
"primrose, primula",
"english_primrose, primula_vulgaris",
"cowslip, paigle, primula_veris",
"oxlip, paigle, primula_elatior",
"chinese_primrose, primula_sinensis",
"polyanthus, primula_polyantha",
"pimpernel",
"scarlet_pimpernel, red_pimpernel, poor_man's_weatherglass, anagallis_arvensis",
"bog_pimpernel, anagallis_tenella",
"chaffweed, bastard_pimpernel, false_pimpernel",
"cyclamen, cyclamen_purpurascens",
"sowbread, cyclamen_hederifolium, cyclamen_neopolitanum",
"sea_milkwort, sea_trifoly, black_saltwort, glaux_maritima",
"featherfoil, feather-foil",
"water_gillyflower, american_featherfoil, hottonia_inflata",
"water_violet, hottonia_palustris",
"loosestrife",
"gooseneck_loosestrife, lysimachia_clethroides_duby",
"yellow_pimpernel, lysimachia_nemorum",
"fringed_loosestrife, lysimachia_ciliatum",
"moneywort, creeping_jenny, creeping_charlie, lysimachia_nummularia",
"swamp_candles, lysimachia_terrestris",
"whorled_loosestrife, lysimachia_quadrifolia",
"water_pimpernel",
"brookweed, samolus_valerandii",
"brookweed, samolus_parviflorus, samolus_floribundus",
"coralberry, spiceberry, ardisia_crenata",
"marlberry, ardisia_escallonoides, ardisia_paniculata",
"plumbago",
"leadwort, plumbago_europaea",
"thrift",
"sea_lavender, marsh_rosemary, statice",
"barbasco, joewood, jacquinia_keyensis",
"gramineous_plant, graminaceous_plant",
"grass",
"midgrass",
"shortgrass, short-grass",
"sword_grass",
"tallgrass, tall-grass",
"herbage, pasturage",
"goat_grass, aegilops_triuncalis",
"wheatgrass, wheat-grass",
"crested_wheatgrass, crested_wheat_grass, fairway_crested_wheat_grass, agropyron_cristatum",
"bearded_wheatgrass, agropyron_subsecundum",
"western_wheatgrass, bluestem_wheatgrass, agropyron_smithii",
"intermediate_wheatgrass, agropyron_intermedium, elymus_hispidus",
"slender_wheatgrass, agropyron_trachycaulum, agropyron_pauciflorum, elymus_trachycaulos",
"velvet_bent, velvet_bent_grass, brown_bent, rhode_island_bent, dog_bent, agrostis_canina",
"cloud_grass, agrostis_nebulosa",
"meadow_foxtail, alopecurus_pratensis",
"foxtail, foxtail_grass",
"broom_grass",
"broom_sedge, andropogon_virginicus",
"tall_oat_grass, tall_meadow_grass, evergreen_grass, false_oat, french_rye, arrhenatherum_elatius",
"toetoe, toitoi, arundo_conspicua, chionochloa_conspicua",
"oat",
"cereal_oat, avena_sativa",
"wild_oat, wild_oat_grass, avena_fatua",
"slender_wild_oat, avena_barbata",
"wild_red_oat, animated_oat, avene_sterilis",
"brome, bromegrass",
"chess, cheat, bromus_secalinus",
"field_brome, bromus_arvensis",
"grama, grama_grass, gramma, gramma_grass",
"black_grama, bouteloua_eriopoda",
"buffalo_grass, buchloe_dactyloides",
"reed_grass",
"feather_reed_grass, feathertop, calamagrostis_acutiflora",
"australian_reed_grass, calamagrostic_quadriseta",
"burgrass, bur_grass",
"buffel_grass, cenchrus_ciliaris, pennisetum_cenchroides",
"rhodes_grass, chloris_gayana",
"pampas_grass, cortaderia_selloana",
"giant_star_grass, cynodon_plectostachyum",
"orchard_grass, cocksfoot, cockspur, dactylis_glomerata",
"egyptian_grass, crowfoot_grass, dactyloctenium_aegypticum",
"crabgrass, crab_grass, finger_grass",
"smooth_crabgrass, digitaria_ischaemum",
"large_crabgrass, hairy_finger_grass, digitaria_sanguinalis",
"barnyard_grass, barn_grass, barn_millet, echinochloa_crusgalli",
"japanese_millet, billion-dollar_grass, japanese_barnyard_millet, sanwa_millet, echinochloa_frumentacea",
"yardgrass, yard_grass, wire_grass, goose_grass, eleusine_indica",
"finger_millet, ragi, ragee, african_millet, coracan, corakan, kurakkan, eleusine_coracana",
"lyme_grass",
"wild_rye",
"giant_ryegrass, elymus_condensatus, leymus_condensatus",
"sea_lyme_grass, european_dune_grass, elymus_arenarius, leymus_arenaria",
"canada_wild_rye, elymus_canadensis",
"teff, teff_grass, eragrostis_tef, eragrostic_abyssinica",
"weeping_love_grass, african_love_grass, eragrostis_curvula",
"plume_grass",
"ravenna_grass, wool_grass, erianthus_ravennae",
"fescue, fescue_grass, meadow_fescue, festuca_elatior",
"reed_meadow_grass, glyceria_grandis",
"velvet_grass, yorkshire_fog, holcus_lanatus",
"creeping_soft_grass, holcus_mollis",
"barleycorn",
"barley_grass, wall_barley, hordeum_murinum",
"little_barley, hordeum_pusillum",
"rye_grass, ryegrass",
"perennial_ryegrass, english_ryegrass, lolium_perenne",
"italian_ryegrass, italian_rye, lolium_multiflorum",
"darnel, tare, bearded_darnel, cheat, lolium_temulentum",
"nimblewill, nimble_will, muhlenbergia_schreberi",
"cultivated_rice, oryza_sativa",
"ricegrass, rice_grass",
"smilo, smilo_grass, oryzopsis_miliacea",
"switch_grass, panicum_virgatum",
"broomcorn_millet, hog_millet, panicum_miliaceum",
"goose_grass, texas_millet, panicum_texanum",
"dallisgrass, dallis_grass, paspalum, paspalum_dilatatum",
"bahia_grass, paspalum_notatum",
"knotgrass, paspalum_distichum",
"fountain_grass, pennisetum_ruppelii, pennisetum_setaceum",
"reed_canary_grass, gardener's_garters, lady's_laces, ribbon_grass, phalaris_arundinacea",
"canary_grass, birdseed_grass, phalaris_canariensis",
"timothy, herd's_grass, phleum_pratense",
"bluegrass, blue_grass",
"meadowgrass, meadow_grass",
"wood_meadowgrass, poa_nemoralis, agrostis_alba",
"noble_cane",
"munj, munja, saccharum_bengalense, saccharum_munja",
"broom_beard_grass, prairie_grass, wire_grass, andropogon_scoparius, schizachyrium_scoparium",
"bluestem, blue_stem, andropogon_furcatus, andropogon_gerardii",
"rye, secale_cereale",
"bristlegrass, bristle_grass",
"giant_foxtail",
"yellow_bristlegrass, yellow_bristle_grass, yellow_foxtail, glaucous_bristlegrass, setaria_glauca",
"green_bristlegrass, green_foxtail, rough_bristlegrass, bottle-grass, bottle_grass, setaria_viridis",
"siberian_millet, setaria_italica_rubrofructa",
"german_millet, golden_wonder_millet, setaria_italica_stramineofructa",
"millet",
"rattan, rattan_cane",
"malacca",
"reed",
"sorghum",
"grain_sorghum",
"durra, doura, dourah, egyptian_corn, indian_millet, guinea_corn",
"feterita, federita, sorghum_vulgare_caudatum",
"hegari",
"kaoliang",
"milo, milo_maize",
"shallu, sorghum_vulgare_rosburghii",
"broomcorn, sorghum_vulgare_technicum",
"cordgrass, cord_grass",
"salt_reed_grass, spartina_cynosuroides",
"prairie_cordgrass, freshwater_cordgrass, slough_grass, spartina_pectinmata",
"smut_grass, blackseed, carpet_grass, sporobolus_poiretii",
"sand_dropseed, sporobolus_cryptandrus",
"rush_grass, rush-grass",
"st._augustine_grass, stenotaphrum_secundatum, buffalo_grass",
"grain",
"cereal, cereal_grass",
"wheat",
"wheat_berry",
"durum, durum_wheat, hard_wheat, triticum_durum, triticum_turgidum, macaroni_wheat",
"spelt, triticum_spelta, triticum_aestivum_spelta",
"emmer, starch_wheat, two-grain_spelt, triticum_dicoccum",
"wild_wheat, wild_emmer, triticum_dicoccum_dicoccoides",
"corn, maize, indian_corn, zea_mays",
"mealie",
"corn",
"dent_corn, zea_mays_indentata",
"flint_corn, flint_maize, yankee_corn, zea_mays_indurata",
"popcorn, zea_mays_everta",
"zoysia",
"manila_grass, japanese_carpet_grass, zoysia_matrella",
"korean_lawn_grass, japanese_lawn_grass, zoysia_japonica",
"bamboo",
"common_bamboo, bambusa_vulgaris",
"giant_bamboo, kyo-chiku, dendrocalamus_giganteus",
"umbrella_plant, umbrella_sedge, cyperus_alternifolius",
"chufa, yellow_nutgrass, earth_almond, ground_almond, rush_nut, cyperus_esculentus",
"galingale, galangal, cyperus_longus",
"nutgrass, nut_grass, nutsedge, nut_sedge, cyperus_rotundus",
"sand_sedge, sand_reed, carex_arenaria",
"cypress_sedge, carex_pseudocyperus",
"cotton_grass, cotton_rush",
"common_cotton_grass, eriophorum_angustifolium",
"hardstem_bulrush, hardstemmed_bulrush, scirpus_acutus",
"wool_grass, scirpus_cyperinus",
"spike_rush",
"water_chestnut, chinese_water_chestnut, eleocharis_dulcis",
"needle_spike_rush, needle_rush, slender_spike_rush, hair_grass, eleocharis_acicularis",
"creeping_spike_rush, eleocharis_palustris",
"pandanus, screw_pine",
"textile_screw_pine, lauhala, pandanus_tectorius",
"cattail",
"cat's-tail, bullrush, bulrush, nailrod, reed_mace, reedmace, typha_latifolia",
"bur_reed",
"grain, caryopsis",
"kernel",
"rye",
"gourd, gourd_vine",
"gourd",
"pumpkin, pumpkin_vine, autumn_pumpkin, cucurbita_pepo",
"squash, squash_vine",
"summer_squash, summer_squash_vine, cucurbita_pepo_melopepo",
"yellow_squash",
"marrow, marrow_squash, vegetable_marrow",
"zucchini, courgette",
"cocozelle, italian_vegetable_marrow",
"cymling, pattypan_squash",
"spaghetti_squash",
"winter_squash, winter_squash_plant",
"acorn_squash",
"hubbard_squash, cucurbita_maxima",
"turban_squash, cucurbita_maxima_turbaniformis",
"buttercup_squash",
"butternut_squash, cucurbita_maxima",
"winter_crookneck, winter_crookneck_squash, cucurbita_moschata",
"cushaw, cucurbita_mixta, cucurbita_argyrosperma",
"prairie_gourd, prairie_gourd_vine, missouri_gourd, wild_pumpkin, buffalo_gourd, calabazilla, cucurbita_foetidissima",
"prairie_gourd",
"bryony, briony",
"white_bryony, devil's_turnip, bryonia_alba",
"sweet_melon, muskmelon, sweet_melon_vine, cucumis_melo",
"cantaloupe, cantaloup, cantaloupe_vine, cantaloup_vine, cucumis_melo_cantalupensis",
"winter_melon, persian_melon, honeydew_melon, winter_melon_vine, cucumis_melo_inodorus",
"net_melon, netted_melon, nutmeg_melon, cucumis_melo_reticulatus",
"cucumber, cucumber_vine, cucumis_sativus",
"squirting_cucumber, exploding_cucumber, touch-me-not, ecballium_elaterium",
"bottle_gourd, calabash, lagenaria_siceraria",
"luffa, dishcloth_gourd, sponge_gourd, rag_gourd, strainer_vine",
"loofah, vegetable_sponge, luffa_cylindrica",
"angled_loofah, sing-kwa, luffa_acutangula",
"loofa, loofah, luffa, loufah_sponge",
"balsam_apple, momordica_balsamina",
"balsam_pear, momordica_charantia",
"lobelia",
"water_lobelia, lobelia_dortmanna",
"mallow",
"musk_mallow, mus_rose, malva_moschata",
"common_mallow, malva_neglecta",
"okra, gumbo, okra_plant, lady's-finger, abelmoschus_esculentus, hibiscus_esculentus",
"okra",
"abelmosk, musk_mallow, abelmoschus_moschatus, hibiscus_moschatus",
"flowering_maple",
"velvetleaf, velvet-leaf, velvetweed, indian_mallow, butter-print, china_jute, abutilon_theophrasti",
"hollyhock",
"rose_mallow, alcea_rosea, althea_rosea",
"althea, althaea, hollyhock",
"marsh_mallow, white_mallow, althea_officinalis",
"poppy_mallow",
"fringed_poppy_mallow, callirhoe_digitata",
"purple_poppy_mallow, callirhoe_involucrata",
"clustered_poppy_mallow, callirhoe_triangulata",
"sea_island_cotton, tree_cotton, gossypium_barbadense",
"levant_cotton, gossypium_herbaceum",
"upland_cotton, gossypium_hirsutum",
"peruvian_cotton, gossypium_peruvianum",
"wild_cotton, arizona_wild_cotton, gossypium_thurberi",
"kenaf, kanaf, deccan_hemp, bimli, bimli_hemp, indian_hemp, bombay_hemp, hibiscus_cannabinus",
"sorrel_tree, hibiscus_heterophyllus",
"rose_mallow, swamp_mallow, common_rose_mallow, swamp_rose_mallow, hibiscus_moscheutos",
"cotton_rose, confederate_rose, confederate_rose_mallow, hibiscus_mutabilis",
"roselle, rozelle, sorrel, red_sorrel, jamaica_sorrel, hibiscus_sabdariffa",
"mahoe, majagua, mahagua, balibago, purau, hibiscus_tiliaceus",
"flower-of-an-hour, flowers-of-an-hour, bladder_ketmia, black-eyed_susan, hibiscus_trionum",
"lacebark, ribbonwood, houhere, hoheria_populnea",
"wild_hollyhock, iliamna_remota, sphaeralcea_remota",
"mountain_hollyhock, iliamna_ruvularis, iliamna_acerifolia",
"seashore_mallow",
"salt_marsh_mallow, kosteletzya_virginica",
"chaparral_mallow, malacothamnus_fasciculatus, sphaeralcea_fasciculata",
"malope, malope_trifida",
"false_mallow",
"waxmallow, wax_mallow, sleeping_hibiscus",
"glade_mallow, napaea_dioica",
"pavonia",
"ribbon_tree, ribbonwood, plagianthus_regius, plagianthus_betulinus",
"bush_hibiscus, radyera_farragei, hibiscus_farragei",
"virginia_mallow, sida_hermaphrodita",
"queensland_hemp, jellyleaf, sida_rhombifolia",
"indian_mallow, sida_spinosa",
"checkerbloom, wild_hollyhock, sidalcea_malviflora",
"globe_mallow, false_mallow",
"prairie_mallow, red_false_mallow, sphaeralcea_coccinea, malvastrum_coccineum",
"tulipwood_tree",
"portia_tree, bendy_tree, seaside_mahoe, thespesia_populnea",
"red_silk-cotton_tree, simal, bombax_ceiba, bombax_malabarica",
"cream-of-tartar_tree, sour_gourd, adansonia_gregorii",
"baobab, monkey-bread_tree, adansonia_digitata",
"kapok, ceiba_tree, silk-cotton_tree, white_silk-cotton_tree, bombay_ceiba, god_tree, ceiba_pentandra",
"durian, durion, durian_tree, durio_zibethinus",
"montezuma",
"shaving-brush_tree, pseudobombax_ellipticum",
"quandong, quandong_tree, brisbane_quandong, silver_quandong_tree, blue_fig, elaeocarpus_grandis",
"quandong, blue_fig",
"makomako, new_zealand_wine_berry, wineberry, aristotelia_serrata, aristotelia_racemosa",
"jamaican_cherry, calabur_tree, calabura, silk_wood, silkwood, muntingia_calabura",
"breakax, breakaxe, break-axe, sloanea_jamaicensis",
"sterculia",
"panama_tree, sterculia_apetala",
"kalumpang, java_olives, sterculia_foetida",
"bottle-tree, bottle_tree",
"flame_tree, flame_durrajong, brachychiton_acerifolius, sterculia_acerifolia",
"flame_tree, broad-leaved_bottletree, brachychiton_australis",
"kurrajong, currajong, brachychiton_populneus",
"queensland_bottletree, narrow-leaved_bottletree, brachychiton_rupestris, sterculia_rupestris",
"kola, kola_nut, kola_nut_tree, goora_nut, cola_acuminata",
"kola_nut, cola_nut",
"chinese_parasol_tree, chinese_parasol, japanese_varnish_tree, phoenix_tree, firmiana_simplex",
"flannelbush, flannel_bush, california_beauty",
"screw_tree",
"nut-leaved_screw_tree, helicteres_isora",
"red_beech, brown_oak, booyong, crow's_foot, stave_wood, silky_elm, heritiera_trifoliolata, terrietia_trifoliolata",
"looking_glass_tree, heritiera_macrophylla",
"looking-glass_plant, heritiera_littoralis",
"honey_bell, honeybells, hermannia_verticillata, mahernia_verticillata",
"mayeng, maple-leaved_bayur, pterospermum_acerifolium",
"silver_tree, tarrietia_argyrodendron",
"cacao, cacao_tree, chocolate_tree, theobroma_cacao",
"obeche, obechi, arere, samba, triplochiton_scleroxcylon",
"linden, linden_tree, basswood, lime, lime_tree",
"american_basswood, american_lime, tilia_americana",
"small-leaved_linden, small-leaved_lime, tilia_cordata",
"white_basswood, cottonwood, tilia_heterophylla",
"japanese_linden, japanese_lime, tilia_japonica",
"silver_lime, silver_linden, tilia_tomentosa",
"corchorus",
"african_hemp, sparmannia_africana",
"herb, herbaceous_plant",
"protea",
"honeypot, king_protea, protea_cynaroides",
"honeyflower, honey-flower, protea_mellifera",
"banksia",
"honeysuckle, australian_honeysuckle, coast_banksia, banksia_integrifolia",
"smoke_bush",
"chilean_firebush, chilean_flameflower, embothrium_coccineum",
"chilean_nut, chile_nut, chile_hazel, chilean_hazelnut, guevina_heterophylla, guevina_avellana",
"grevillea",
"red-flowered_silky_oak, grevillea_banksii",
"silky_oak, grevillea_robusta",
"beefwood, grevillea_striata",
"cushion_flower, pincushion_hakea, hakea_laurina",
"rewa-rewa, new_zealand_honeysuckle",
"honeyflower, honey-flower, mountain_devil, lambertia_formosa",
"silver_tree, leucadendron_argenteum",
"lomatia",
"macadamia, macadamia_tree",
"macadamia_integrifolia",
"macadamia_nut, macadamia_nut_tree, macadamia_ternifolia",
"queensland_nut, macadamia_tetraphylla",
"prickly_ash, orites_excelsa",
"geebung",
"wheel_tree, firewheel_tree, stenocarpus_sinuatus",
"scrub_beefwood, beefwood, stenocarpus_salignus",
"waratah, telopea_oreades",
"waratah, telopea_speciosissima",
"casuarina",
"she-oak",
"beefwood",
"australian_pine, casuarina_equisetfolia",
"heath",
"tree_heath, briar, brier, erica_arborea",
"briarroot",
"winter_heath, spring_heath, erica_carnea",
"bell_heather, heather_bell, fine-leaved_heath, erica_cinerea",
"cornish_heath, erica_vagans",
"spanish_heath, portuguese_heath, erica_lusitanica",
"prince-of-wales'-heath, prince_of_wales_heath, erica_perspicua",
"bog_rosemary, moorwort, andromeda_glaucophylla",
"marsh_andromeda, common_bog_rosemary, andromeda_polifolia",
"madrona, madrono, manzanita, arbutus_menziesii",
"strawberry_tree, irish_strawberry, arbutus_unedo",
"bearberry",
"alpine_bearberry, black_bearberry, arctostaphylos_alpina",
"heartleaf_manzanita, arctostaphylos_andersonii",
"parry_manzanita, arctostaphylos_manzanita",
"spike_heath, bruckenthalia_spiculifolia",
"bryanthus",
"leatherleaf, chamaedaphne_calyculata",
"connemara_heath, st._dabeoc's_heath, daboecia_cantabrica",
"trailing_arbutus, mayflower, epigaea_repens",
"creeping_snowberry, moxie_plum, maidenhair_berry, gaultheria_hispidula",
"salal, shallon, gaultheria_shallon",
"huckleberry",
"black_huckleberry, gaylussacia_baccata",
"dangleberry, dangle-berry, gaylussacia_frondosa",
"box_huckleberry, gaylussacia_brachycera",
"kalmia",
"mountain_laurel, wood_laurel, american_laurel, calico_bush, kalmia_latifolia",
"swamp_laurel, bog_laurel, bog_kalmia, kalmia_polifolia",
"trapper's_tea, glandular_labrador_tea",
"wild_rosemary, marsh_tea, ledum_palustre",
"sand_myrtle, leiophyllum_buxifolium",
"leucothoe",
"dog_laurel, dog_hobble, switch-ivy, leucothoe_fontanesiana, leucothoe_editorum",
"sweet_bells, leucothoe_racemosa",
"alpine_azalea, mountain_azalea, loiseleuria_procumbens",
"staggerbush, stagger_bush, lyonia_mariana",
"maleberry, male_berry, privet_andromeda, he-huckleberry, lyonia_ligustrina",
"fetterbush, fetter_bush, shiny_lyonia, lyonia_lucida",
"false_azalea, fool's_huckleberry, menziesia_ferruginea",
"minniebush, minnie_bush, menziesia_pilosa",
"sorrel_tree, sourwood, titi, oxydendrum_arboreum",
"mountain_heath, phyllodoce_caerulea, bryanthus_taxifolius",
"purple_heather, brewer's_mountain_heather, phyllodoce_breweri",
"fetterbush, mountain_fetterbush, mountain_andromeda, pieris_floribunda",
"rhododendron",
"coast_rhododendron, rhododendron_californicum",
"rosebay, rhododendron_maxima",
"swamp_azalea, swamp_honeysuckle, white_honeysuckle, rhododendron_viscosum",
"azalea",
"cranberry",
"american_cranberry, large_cranberry, vaccinium_macrocarpon",
"european_cranberry, small_cranberry, vaccinium_oxycoccus",
"blueberry, blueberry_bush",
"farkleberry, sparkleberry, vaccinium_arboreum",
"low-bush_blueberry, low_blueberry, vaccinium_angustifolium, vaccinium_pennsylvanicum",
"rabbiteye_blueberry, rabbit-eye_blueberry, rabbiteye, vaccinium_ashei",
"dwarf_bilberry, dwarf_blueberry, vaccinium_caespitosum",
"evergreen_blueberry, vaccinium_myrsinites",
"evergreen_huckleberry, vaccinium_ovatum",
"bilberry, thin-leaved_bilberry, mountain_blue_berry, viccinium_membranaceum",
"bilberry, whortleberry, whinberry, blaeberry, viccinium_myrtillus",
"bog_bilberry, bog_whortleberry, moor_berry, vaccinium_uliginosum_alpinum",
"dryland_blueberry, dryland_berry, vaccinium_pallidum",
"grouseberry, grouse-berry, grouse_whortleberry, vaccinium_scoparium",
"deerberry, squaw_huckleberry, vaccinium_stamineum",
"cowberry, mountain_cranberry, lingonberry, lingenberry, lingberry, foxberry, vaccinium_vitis-idaea",
"diapensia",
"galax, galaxy, wandflower, beetleweed, coltsfoot, galax_urceolata",
"pyxie, pixie, pixy, pyxidanthera_barbulata",
"shortia",
"oconee_bells, shortia_galacifolia",
"australian_heath",
"epacris",
"common_heath, epacris_impressa",
"common_heath, blunt-leaf_heath, epacris_obtusifolia",
"port_jackson_heath, epacris_purpurascens",
"native_cranberry, groundberry, ground-berry, cranberry_heath, astroloma_humifusum, styphelia_humifusum",
"pink_fivecorner, styphelia_triflora",
"wintergreen, pyrola",
"false_wintergreen, pyrola_americana, pyrola_rotundifolia_americana",
"lesser_wintergreen, pyrola_minor",
"wild_lily_of_the_valley, shinleaf, pyrola_elliptica",
"wild_lily_of_the_valley, pyrola_rotundifolia",
"pipsissewa, prince's_pine",
"love-in-winter, western_prince's_pine, chimaphila_umbellata, chimaphila_corymbosa",
"one-flowered_wintergreen, one-flowered_pyrola, moneses_uniflora, pyrola_uniflora",
"indian_pipe, waxflower, monotropa_uniflora",
"pinesap, false_beachdrops, monotropa_hypopithys",
"beech, beech_tree",
"common_beech, european_beech, fagus_sylvatica",
"copper_beech, purple_beech, fagus_sylvatica_atropunicea, fagus_purpurea, fagus_sylvatica_purpurea",
"american_beech, white_beech, red_beech, fagus_grandifolia, fagus_americana",
"weeping_beech, fagus_pendula, fagus_sylvatica_pendula",
"japanese_beech",
"chestnut, chestnut_tree",
"american_chestnut, american_sweet_chestnut, castanea_dentata",
"european_chestnut, sweet_chestnut, spanish_chestnut, castanea_sativa",
"chinese_chestnut, castanea_mollissima",
"japanese_chestnut, castanea_crenata",
"allegheny_chinkapin, eastern_chinquapin, chinquapin, dwarf_chestnut, castanea_pumila",
"ozark_chinkapin, ozark_chinquapin, chinquapin, castanea_ozarkensis",
"oak_chestnut",
"giant_chinkapin, golden_chinkapin, chrysolepis_chrysophylla, castanea_chrysophylla, castanopsis_chrysophylla",
"dwarf_golden_chinkapin, chrysolepis_sempervirens",
"tanbark_oak, lithocarpus_densiflorus",
"japanese_oak, lithocarpus_glabra, lithocarpus_glaber",
"southern_beech, evergreen_beech",
"myrtle_beech, nothofagus_cuninghamii",
"coigue, nothofagus_dombeyi",
"new_zealand_beech",
"silver_beech, nothofagus_menziesii",
"roble_beech, nothofagus_obliqua",
"rauli_beech, nothofagus_procera",
"black_beech, nothofagus_solanderi",
"hard_beech, nothofagus_truncata",
"acorn",
"cupule, acorn_cup",
"oak, oak_tree",
"live_oak",
"coast_live_oak, california_live_oak, quercus_agrifolia",
"white_oak",
"american_white_oak, quercus_alba",
"arizona_white_oak, quercus_arizonica",
"swamp_white_oak, swamp_oak, quercus_bicolor",
"european_turkey_oak, turkey_oak, quercus_cerris",
"canyon_oak, canyon_live_oak, maul_oak, iron_oak, quercus_chrysolepis",
"scarlet_oak, quercus_coccinea",
"jack_oak, northern_pin_oak, quercus_ellipsoidalis",
"red_oak",
"southern_red_oak, swamp_red_oak, turkey_oak, quercus_falcata",
"oregon_white_oak, oregon_oak, garry_oak, quercus_garryana",
"holm_oak, holm_tree, holly-leaved_oak, evergreen_oak, quercus_ilex",
"bear_oak, quercus_ilicifolia",
"shingle_oak, laurel_oak, quercus_imbricaria",
"bluejack_oak, turkey_oak, quercus_incana",
"california_black_oak, quercus_kelloggii",
"american_turkey_oak, turkey_oak, quercus_laevis",
"laurel_oak, pin_oak, quercus_laurifolia",
"california_white_oak, valley_oak, valley_white_oak, roble, quercus_lobata",
"overcup_oak, quercus_lyrata",
"bur_oak, burr_oak, mossy-cup_oak, mossycup_oak, quercus_macrocarpa",
"scrub_oak",
"blackjack_oak, blackjack, jack_oak, quercus_marilandica",
"swamp_chestnut_oak, quercus_michauxii",
"japanese_oak, quercus_mongolica, quercus_grosseserrata",
"chestnut_oak",
"chinquapin_oak, chinkapin_oak, yellow_chestnut_oak, quercus_muehlenbergii",
"myrtle_oak, seaside_scrub_oak, quercus_myrtifolia",
"water_oak, possum_oak, quercus_nigra",
"nuttall_oak, nuttall's_oak, quercus_nuttalli",
"durmast, quercus_petraea, quercus_sessiliflora",
"basket_oak, cow_oak, quercus_prinus, quercus_montana",
"pin_oak, swamp_oak, quercus_palustris",
"willow_oak, quercus_phellos",
"dwarf_chinkapin_oak, dwarf_chinquapin_oak, dwarf_oak, quercus_prinoides",
"common_oak, english_oak, pedunculate_oak, quercus_robur",
"northern_red_oak, quercus_rubra, quercus_borealis",
"shumard_oak, shumard_red_oak, quercus_shumardii",
"post_oak, box_white_oak, brash_oak, iron_oak, quercus_stellata",
"cork_oak, quercus_suber",
"spanish_oak, quercus_texana",
"huckleberry_oak, quercus_vaccinifolia",
"chinese_cork_oak, quercus_variabilis",
"black_oak, yellow_oak, quercitron, quercitron_oak, quercus_velutina",
"southern_live_oak, quercus_virginiana",
"interior_live_oak, quercus_wislizenii, quercus_wizlizenii",
"mast",
"birch, birch_tree",
"yellow_birch, betula_alleghaniensis, betula_leutea",
"american_white_birch, paper_birch, paperbark_birch, canoe_birch, betula_cordifolia, betula_papyrifera",
"grey_birch, gray_birch, american_grey_birch, american_gray_birch, betula_populifolia",
"silver_birch, common_birch, european_white_birch, betula_pendula",
"downy_birch, white_birch, betula_pubescens",
"black_birch, river_birch, red_birch, betula_nigra",
"sweet_birch, cherry_birch, black_birch, betula_lenta",
"yukon_white_birch, betula_neoalaskana",
"swamp_birch, water_birch, mountain_birch, western_paper_birch, western_birch, betula_fontinalis",
"newfoundland_dwarf_birch, american_dwarf_birch, betula_glandulosa",
"alder, alder_tree",
"common_alder, european_black_alder, alnus_glutinosa, alnus_vulgaris",
"grey_alder, gray_alder, alnus_incana",
"seaside_alder, alnus_maritima",
"white_alder, mountain_alder, alnus_rhombifolia",
"red_alder, oregon_alder, alnus_rubra",
"speckled_alder, alnus_rugosa",
"smooth_alder, hazel_alder, alnus_serrulata",
"green_alder, alnus_veridis",
"green_alder, alnus_veridis_crispa, alnus_crispa",
"hornbeam",
"european_hornbeam, carpinus_betulus",
"american_hornbeam, carpinus_caroliniana",
"hop_hornbeam",
"old_world_hop_hornbeam, ostrya_carpinifolia",
"eastern_hop_hornbeam, ironwood, ironwood_tree, ostrya_virginiana",
"hazelnut, hazel, hazelnut_tree",
"american_hazel, corylus_americana",
"cobnut, filbert, corylus_avellana, corylus_avellana_grandis",
"beaked_hazelnut, corylus_cornuta",
"centaury",
"rosita, centaurium_calycosum",
"lesser_centaury, centaurium_minus",
"seaside_centaury",
"slender_centaury",
"prairie_gentian, tulip_gentian, bluebell, eustoma_grandiflorum",
"persian_violet, exacum_affine",
"columbo, american_columbo, deer's-ear, deer's-ears, pyramid_plant, american_gentian",
"gentian",
"gentianella, gentiana_acaulis",
"closed_gentian, blind_gentian, bottle_gentian, gentiana_andrewsii",
"explorer's_gentian, gentiana_calycosa",
"closed_gentian, blind_gentian, gentiana_clausa",
"great_yellow_gentian, gentiana_lutea",
"marsh_gentian, calathian_violet, gentiana_pneumonanthe",
"soapwort_gentian, gentiana_saponaria",
"striped_gentian, gentiana_villosa",
"agueweed, ague_weed, five-flowered_gentian, stiff_gentian, gentianella_quinquefolia, gentiana_quinquefolia",
"felwort, gentianella_amarella",
"fringed_gentian",
"gentianopsis_crinita, gentiana_crinita",
"gentianopsis_detonsa, gentiana_detonsa",
"gentianopsid_procera, gentiana_procera",
"gentianopsis_thermalis, gentiana_thermalis",
"tufted_gentian, gentianopsis_holopetala, gentiana_holopetala",
"spurred_gentian",
"sabbatia",
"toothbrush_tree, mustard_tree, salvadora_persica",
"olive_tree",
"olive, european_olive_tree, olea_europaea",
"olive",
"black_maire, olea_cunninghamii",
"white_maire, olea_lanceolata",
"fringe_tree",
"fringe_bush, chionanthus_virginicus",
"forestiera",
"forsythia",
"ash, ash_tree",
"white_ash, fraxinus_americana",
"swamp_ash, fraxinus_caroliniana",
"flowering_ash, fraxinus_cuspidata",
"european_ash, common_european_ash, fraxinus_excelsior",
"oregon_ash, fraxinus_latifolia, fraxinus_oregona",
"black_ash, basket_ash, brown_ash, hoop_ash, fraxinus_nigra",
"manna_ash, flowering_ash, fraxinus_ornus",
"red_ash, downy_ash, fraxinus_pennsylvanica",
"green_ash, fraxinus_pennsylvanica_subintegerrima",
"blue_ash, fraxinus_quadrangulata",
"mountain_ash, fraxinus_texensis",
"pumpkin_ash, fraxinus_tomentosa",
"arizona_ash, fraxinus_velutina",
"jasmine",
"primrose_jasmine, jasminum_mesnyi",
"winter_jasmine, jasminum_nudiflorum",
"common_jasmine, true_jasmine, jessamine, jasminum_officinale",
"privet",
"amur_privet, ligustrum_amurense",
"japanese_privet, ligustrum_japonicum",
"ligustrum_obtusifolium",
"common_privet, ligustrum_vulgare",
"devilwood, american_olive, osmanthus_americanus",
"mock_privet",
"lilac",
"himalayan_lilac, syringa_emodi",
"persian_lilac, syringa_persica",
"japanese_tree_lilac, syringa_reticulata, syringa_amurensis_japonica",
"japanese_lilac, syringa_villosa",
"common_lilac, syringa_vulgaris",
"bloodwort",
"kangaroo_paw, kangaroo's_paw, kangaroo's-foot, kangaroo-foot_plant, australian_sword_lily, anigozanthus_manglesii",
"virginian_witch_hazel, hamamelis_virginiana",
"vernal_witch_hazel, hamamelis_vernalis",
"winter_hazel, flowering_hazel",
"fothergilla, witch_alder",
"liquidambar",
"sweet_gum, sweet_gum_tree, bilsted, red_gum, american_sweet_gum, liquidambar_styraciflua",
"iron_tree, iron-tree, ironwood, ironwood_tree",
"walnut, walnut_tree",
"california_black_walnut, juglans_californica",
"butternut, butternut_tree, white_walnut, juglans_cinerea",
"black_walnut, black_walnut_tree, black_hickory, juglans_nigra",
"english_walnut, english_walnut_tree, circassian_walnut, persian_walnut, juglans_regia",
"hickory, hickory_tree",
"water_hickory, bitter_pecan, water_bitternut, carya_aquatica",
"pignut, pignut_hickory, brown_hickory, black_hickory, carya_glabra",
"bitternut, bitternut_hickory, bitter_hickory, bitter_pignut, swamp_hickory, carya_cordiformis",
"pecan, pecan_tree, carya_illinoensis, carya_illinoinsis",
"big_shellbark, big_shellbark_hickory, big_shagbark, king_nut, king_nut_hickory, carya_laciniosa",
"nutmeg_hickory, carya_myristicaeformis, carya_myristiciformis",
"shagbark, shagbark_hickory, shellbark, shellbark_hickory, carya_ovata",
"mockernut, mockernut_hickory, black_hickory, white-heart_hickory, big-bud_hickory, carya_tomentosa",
"wing_nut, wing-nut",
"caucasian_walnut, pterocarya_fraxinifolia",
"dhawa, dhava",
"combretum",
"hiccup_nut, hiccough_nut, combretum_bracteosum",
"bush_willow, combretum_appiculatum",
"bush_willow, combretum_erythrophyllum",
"button_tree, button_mangrove, conocarpus_erectus",
"white_mangrove, laguncularia_racemosa",
"oleaster",
"water_milfoil",
"anchovy_pear, anchovy_pear_tree, grias_cauliflora",
"brazil_nut, brazil-nut_tree, bertholletia_excelsa",
"loosestrife",
"purple_loosestrife, spiked_loosestrife, lythrum_salicaria",
"grass_poly, hyssop_loosestrife, lythrum_hyssopifolia",
"crape_myrtle, crepe_myrtle, crepe_flower, lagerstroemia_indica",
"queen's_crape_myrtle, pride-of-india, lagerstroemia_speciosa",
"myrtaceous_tree",
"myrtle",
"common_myrtle, myrtus_communis",
"bayberry, bay-rum_tree, jamaica_bayberry, wild_cinnamon, pimenta_acris",
"allspice, allspice_tree, pimento_tree, pimenta_dioica",
"allspice_tree, pimenta_officinalis",
"sour_cherry, eugenia_corynantha",
"nakedwood, eugenia_dicrana",
"surinam_cherry, pitanga, eugenia_uniflora",
"rose_apple, rose-apple_tree, jambosa, eugenia_jambos",
"feijoa, feijoa_bush",
"jaboticaba, jaboticaba_tree, myrciaria_cauliflora",
"guava, true_guava, guava_bush, psidium_guajava",
"guava, strawberry_guava, yellow_cattley_guava, psidium_littorale",
"cattley_guava, purple_strawberry_guava, psidium_cattleianum, psidium_littorale_longipes",
"brazilian_guava, psidium_guineense",
"gum_tree, gum",
"eucalyptus, eucalypt, eucalyptus_tree",
"flooded_gum",
"mallee",
"stringybark",
"smoothbark",
"red_gum, peppermint, peppermint_gum, eucalyptus_amygdalina",
"red_gum, marri, eucalyptus_calophylla",
"river_red_gum, river_gum, eucalyptus_camaldulensis, eucalyptus_rostrata",
"mountain_swamp_gum, eucalyptus_camphora",
"snow_gum, ghost_gum, white_ash, eucalyptus_coriacea, eucalyptus_pauciflora",
"alpine_ash, mountain_oak, eucalyptus_delegatensis",
"white_mallee, congoo_mallee, eucalyptus_dumosa",
"white_stringybark, thin-leaved_stringybark, eucalyptusd_eugenioides",
"white_mountain_ash, eucalyptus_fraxinoides",
"blue_gum, fever_tree, eucalyptus_globulus",
"rose_gum, eucalypt_grandis",
"cider_gum, eucalypt_gunnii",
"swamp_gum, eucalypt_ovata",
"spotted_gum, eucalyptus_maculata",
"lemon-scented_gum, eucalyptus_citriodora, eucalyptus_maculata_citriodora",
"black_mallee, black_sally, black_gum, eucalytus_stellulata",
"forest_red_gum, eucalypt_tereticornis",
"mountain_ash, eucalyptus_regnans",
"manna_gum, eucalyptus_viminalis",
"clove, clove_tree, syzygium_aromaticum, eugenia_aromaticum, eugenia_caryophyllatum",
"clove",
"tupelo, tupelo_tree",
"water_gum, nyssa_aquatica",
"sour_gum, black_gum, pepperidge, nyssa_sylvatica",
"enchanter's_nightshade",
"circaea_lutetiana",
"willowherb",
"fireweed, giant_willowherb, rosebay_willowherb, wickup, epilobium_angustifolium",
"california_fuchsia, humming_bird's_trumpet, epilobium_canum_canum, zauschneria_californica",
"fuchsia",
"lady's-eardrop, ladies'-eardrop, lady's-eardrops, ladies'-eardrops, fuchsia_coccinea",
"evening_primrose",
"common_evening_primrose, german_rampion, oenothera_biennis",
"sundrops, oenothera_fruticosa",
"missouri_primrose, ozark_sundrops, oenothera_macrocarpa",
"pomegranate, pomegranate_tree, punica_granatum",
"mangrove, rhizophora_mangle",
"daphne",
"garland_flower, daphne_cneorum",
"spurge_laurel, wood_laurel, daphne_laureola",
"mezereon, february_daphne, daphne_mezereum",
"indian_rhododendron, melastoma_malabathricum",
"medinilla_magnifica",
"deer_grass, meadow_beauty",
"canna",
"achira, indian_shot, arrowroot, canna_indica, canna_edulis",
"arrowroot, american_arrowroot, obedience_plant, maranta_arundinaceae",
"banana, banana_tree",
"dwarf_banana, musa_acuminata",
"japanese_banana, musa_basjoo",
"plantain, plantain_tree, musa_paradisiaca",
"edible_banana, musa_paradisiaca_sapientum",
"abaca, manila_hemp, musa_textilis",
"abyssinian_banana, ethiopian_banana, ensete_ventricosum, musa_ensete",
"ginger",
"common_ginger, canton_ginger, stem_ginger, zingiber_officinale",
"turmeric, curcuma_longa, curcuma_domestica",
"galangal, alpinia_galanga",
"shellflower, shall-flower, shell_ginger, alpinia_zerumbet, alpinia_speciosa, languas_speciosa",
"grains_of_paradise, guinea_grains, guinea_pepper, melagueta_pepper, aframomum_melegueta",
"cardamom, cardamon, elettaria_cardamomum",
"begonia",
"fibrous-rooted_begonia",
"tuberous_begonia",
"rhizomatous_begonia",
"christmas_begonia, blooming-fool_begonia, begonia_cheimantha",
"angel-wing_begonia, begonia_cocchinea",
"beefsteak_begonia, kidney_begonia, begonia_erythrophylla, begonia_feastii",
"star_begonia, star-leaf_begonia, begonia_heracleifolia",
"rex_begonia, king_begonia, painted-leaf_begonia, beefsteak_geranium, begonia_rex",
"wax_begonia, begonia_semperflorens",
"socotra_begonia, begonia_socotrana",
"hybrid_tuberous_begonia, begonia_tuberhybrida",
"dillenia",
"guinea_gold_vine, guinea_flower",
"poon",
"calaba, santa_maria_tree, calophyllum_calaba",
"maria, calophyllum_longifolium",
"laurelwood, lancewood_tree, calophyllum_candidissimum",
"alexandrian_laurel, calophyllum_inophyllum",
"clusia",
"wild_fig, clusia_flava",
"waxflower, clusia_insignis",
"pitch_apple, strangler_fig, clusia_rosea, clusia_major",
"mangosteen, mangosteen_tree, garcinia_mangostana",
"gamboge_tree, garcinia_hanburyi, garcinia_cambogia, garcinia_gummi-gutta",
"st_john's_wort",
"common_st_john's_wort, tutsan, hypericum_androsaemum",
"great_st_john's_wort, hypericum_ascyron, hypericum_pyramidatum",
"creeping_st_john's_wort, hypericum_calycinum",
"low_st_andrew's_cross, hypericum_hypericoides",
"klammath_weed, hypericum_perforatum",
"shrubby_st_john's_wort, hypericum_prolificum, hypericum_spathulatum",
"st_peter's_wort, hypericum_tetrapterum, hypericum_maculatum",
"marsh_st-john's_wort, hypericum_virginianum",
"mammee_apple, mammee, mamey, mammee_tree, mammea_americana",
"rose_chestnut, ironwood, ironwood_tree, mesua_ferrea",
"bower_actinidia, tara_vine, actinidia_arguta",
"chinese_gooseberry, kiwi, kiwi_vine, actinidia_chinensis, actinidia_deliciosa",
"silvervine, silver_vine, actinidia_polygama",
"wild_cinnamon, white_cinnamon_tree, canella_winterana, canella-alba",
"papaya, papaia, pawpaw, papaya_tree, melon_tree, carica_papaya",
"souari, souari_nut, souari_tree, caryocar_nuciferum",
"rockrose, rock_rose",
"white-leaved_rockrose, cistus_albidus",
"common_gum_cistus, cistus_ladanifer, cistus_ladanum",
"frostweed, frost-weed, frostwort, helianthemum_canadense, crocanthemum_canadense",
"dipterocarp",
"red_lauan, red_lauan_tree, shorea_teysmanniana",
"governor's_plum, governor_plum, madagascar_plum, ramontchi, batoko_palm, flacourtia_indica",
"kei_apple, kei_apple_bush, dovyalis_caffra",
"ketembilla, kitembilla, kitambilla, ketembilla_tree, ceylon_gooseberry, dovyalis_hebecarpa",
"chaulmoogra, chaulmoogra_tree, chaulmugra, hydnocarpus_kurzii, taraktagenos_kurzii, taraktogenos_kurzii",
"wild_peach, kiggelaria_africana",
"candlewood",
"boojum_tree, cirio, fouquieria_columnaris, idria_columnaris",
"bird's-eye_bush, ochna_serrulata",
"granadilla, purple_granadillo, passiflora_edulis",
"granadilla, sweet_granadilla, passiflora_ligularis",
"granadilla, giant_granadilla, passiflora_quadrangularis",
"maypop, passiflora_incarnata",
"jamaica_honeysuckle, yellow_granadilla, passiflora_laurifolia",
"banana_passion_fruit, passiflora_mollissima",
"sweet_calabash, passiflora_maliformis",
"love-in-a-mist, running_pop, wild_water_lemon, passiflora_foetida",
"reseda",
"mignonette, sweet_reseda, reseda_odorata",
"dyer's_rocket, dyer's_mignonette, weld, reseda_luteola",
"false_tamarisk, german_tamarisk, myricaria_germanica",
"halophyte",
"viola",
"violet",
"field_pansy, heartsease, viola_arvensis",
"american_dog_violet, viola_conspersa",
"dog_violet, heath_violet, viola_canina",
"horned_violet, tufted_pansy, viola_cornuta",
"two-eyed_violet, heartsease, viola_ocellata",
"bird's-foot_violet, pansy_violet, johnny-jump-up, wood_violet, viola_pedata",
"downy_yellow_violet, viola_pubescens",
"long-spurred_violet, viola_rostrata",
"pale_violet, striped_violet, cream_violet, viola_striata",
"hedge_violet, wood_violet, viola_sylvatica, viola_reichenbachiana",
"nettle",
"stinging_nettle, urtica_dioica",
"roman_nettle, urtica_pipulifera",
"ramie, ramee, chinese_silk_plant, china_grass, boehmeria_nivea",
"wood_nettle, laportea_canadensis",
"australian_nettle, australian_nettle_tree",
"pellitory-of-the-wall, wall_pellitory, pellitory, parietaria_difussa",
"richweed, clearweed, dead_nettle, pilea_pumilla",
"artillery_plant, pilea_microphylla",
"friendship_plant, panamica, panamiga, pilea_involucrata",
"queensland_grass-cloth_plant, pipturus_argenteus",
"pipturus_albidus",
"cannabis, hemp",
"indian_hemp, cannabis_indica",
"mulberry, mulberry_tree",
"white_mulberry, morus_alba",
"black_mulberry, morus_nigra",
"red_mulberry, morus_rubra",
"osage_orange, bow_wood, mock_orange, maclura_pomifera",
"breadfruit, breadfruit_tree, artocarpus_communis, artocarpus_altilis",
"jackfruit, jackfruit_tree, artocarpus_heterophyllus",
"marang, marang_tree, artocarpus_odoratissima",
"fig_tree",
"fig, common_fig, common_fig_tree, ficus_carica",
"caprifig, ficus_carica_sylvestris",
"golden_fig, florida_strangler_fig, strangler_fig, wild_fig, ficus_aurea",
"banyan, banyan_tree, banian, banian_tree, indian_banyan, east_indian_fig_tree, ficus_bengalensis",
"pipal, pipal_tree, pipul, peepul, sacred_fig, bo_tree, ficus_religiosa",
"india-rubber_tree, india-rubber_plant, india-rubber_fig, rubber_plant, assam_rubber, ficus_elastica",
"mistletoe_fig, mistletoe_rubber_plant, ficus_diversifolia, ficus_deltoidea",
"port_jackson_fig, rusty_rig, little-leaf_fig, botany_bay_fig, ficus_rubiginosa",
"sycamore, sycamore_fig, mulberry_fig, ficus_sycomorus",
"paper_mulberry, broussonetia_papyrifera",
"trumpetwood, trumpet-wood, trumpet_tree, snake_wood, imbauba, cecropia_peltata",
"elm, elm_tree",
"winged_elm, wing_elm, ulmus_alata",
"american_elm, white_elm, water_elm, rock_elm, ulmus_americana",
"smooth-leaved_elm, european_field_elm, ulmus_carpinifolia",
"cedar_elm, ulmus_crassifolia",
"witch_elm, wych_elm, ulmus_glabra",
"dutch_elm, ulmus_hollandica",
"huntingdon_elm, ulmus_hollandica_vegetata",
"water_elm, ulmus_laevis",
"chinese_elm, ulmus_parvifolia",
"english_elm, european_elm, ulmus_procera",
"siberian_elm, chinese_elm, dwarf_elm, ulmus_pumila",
"slippery_elm, red_elm, ulmus_rubra",
"jersey_elm, guernsey_elm, wheately_elm, ulmus_sarniensis, ulmus_campestris_sarniensis, ulmus_campestris_wheatleyi",
"september_elm, red_elm, ulmus_serotina",
"rock_elm, ulmus_thomasii",
"hackberry, nettle_tree",
"european_hackberry, mediterranean_hackberry, celtis_australis",
"american_hackberry, celtis_occidentalis",
"sugarberry, celtis_laevigata",
"iridaceous_plant",
"bearded_iris",
"beardless_iris",
"orrisroot, orris",
"dwarf_iris, iris_cristata",
"dutch_iris, iris_filifolia",
"florentine_iris, orris, iris_germanica_florentina, iris_florentina",
"stinking_iris, gladdon, gladdon_iris, stinking_gladwyn, roast_beef_plant, iris_foetidissima",
"german_iris, iris_germanica",
"japanese_iris, iris_kaempferi",
"german_iris, iris_kochii",
"dalmatian_iris, iris_pallida",
"persian_iris, iris_persica",
"dutch_iris, iris_tingitana",
"dwarf_iris, vernal_iris, iris_verna",
"spanish_iris, xiphium_iris, iris_xiphium",
"blackberry-lily, leopard_lily, belamcanda_chinensis",
"crocus",
"saffron, saffron_crocus, crocus_sativus",
"corn_lily",
"blue-eyed_grass",
"wandflower, sparaxis_tricolor",
"amaryllis",
"salsilla, bomarea_edulis",
"salsilla, bomarea_salsilla",
"blood_lily",
"cape_tulip, haemanthus_coccineus",
"hippeastrum, hippeastrum_puniceum",
"narcissus",
"daffodil, narcissus_pseudonarcissus",
"jonquil, narcissus_jonquilla",
"jonquil",
"jacobean_lily, aztec_lily, strekelia_formosissima",
"liliaceous_plant",
"mountain_lily, lilium_auratum",
"canada_lily, wild_yellow_lily, meadow_lily, wild_meadow_lily, lilium_canadense",
"tiger_lily, leopard_lily, pine_lily, lilium_catesbaei",
"columbia_tiger_lily, oregon_lily, lilium_columbianum",
"tiger_lily, devil_lily, kentan, lilium_lancifolium",
"easter_lily, bermuda_lily, white_trumpet_lily, lilium_longiflorum",
"coast_lily, lilium_maritinum",
"turk's-cap, martagon, lilium_martagon",
"michigan_lily, lilium_michiganense",
"leopard_lily, panther_lily, lilium_pardalinum",
"turk's-cap, turk's_cap-lily, lilium_superbum",
"african_lily, african_tulip, blue_african_lily, agapanthus_africanus",
"colicroot, colic_root, crow_corn, star_grass, unicorn_root",
"ague_root, ague_grass, aletris_farinosa",
"yellow_colicroot, aletris_aurea",
"alliaceous_plant",
"hooker's_onion, allium_acuminatum",
"wild_leek, levant_garlic, kurrat, allium_ampeloprasum",
"canada_garlic, meadow_leek, rose_leek, allium_canadense",
"keeled_garlic, allium_carinatum",
"onion",
"shallot, eschalot, multiplier_onion, allium_cepa_aggregatum, allium_ascalonicum",
"nodding_onion, nodding_wild_onion, lady's_leek, allium_cernuum",
"welsh_onion, japanese_leek, allium_fistulosum",
"red-skinned_onion, allium_haematochiton",
"daffodil_garlic, flowering_onion, naples_garlic, allium_neopolitanum",
"few-flowered_leek, allium_paradoxum",
"garlic, allium_sativum",
"sand_leek, giant_garlic, spanish_garlic, rocambole, allium_scorodoprasum",
"chives, chive, cive, schnittlaugh, allium_schoenoprasum",
"crow_garlic, false_garlic, field_garlic, stag's_garlic, wild_garlic, allium_vineale",
"wild_garlic, wood_garlic, ramsons, allium_ursinum",
"garlic_chive, chinese_chive, oriental_garlic, allium_tuberosum",
"round-headed_leek, allium_sphaerocephalum",
"three-cornered_leek, triquetrous_leek, allium_triquetrum",
"cape_aloe, aloe_ferox",
"kniphofia, tritoma, flame_flower, flame-flower, flameflower",
"poker_plant, kniphofia_uvaria",
"red-hot_poker, kniphofia_praecox",
"fly_poison, amianthum_muscaetoxicum, amianthum_muscitoxicum",
"amber_lily, anthericum_torreyi",
"asparagus, edible_asparagus, asparagus_officinales",
"asparagus_fern, asparagus_setaceous, asparagus_plumosus",
"smilax, asparagus_asparagoides",
"asphodel",
"jacob's_rod",
"aspidistra, cast-iron_plant, bar-room_plant, aspidistra_elatio",
"coral_drops, bessera_elegans",
"christmas_bells",
"climbing_onion, bowiea_volubilis",
"mariposa, mariposa_tulip, mariposa_lily",
"globe_lily, fairy_lantern",
"cat's-ear",
"white_globe_lily, white_fairy_lantern, calochortus_albus",
"yellow_globe_lily, golden_fairy_lantern, calochortus_amabilis",
"rose_globe_lily, calochortus_amoenus",
"star_tulip, elegant_cat's_ears, calochortus_elegans",
"desert_mariposa_tulip, calochortus_kennedyi",
"yellow_mariposa_tulip, calochortus_luteus",
"sagebrush_mariposa_tulip, calochortus_macrocarpus",
"sego_lily, calochortus_nuttallii",
"camas, camass, quamash, camosh, camash",
"common_camas, camassia_quamash",
"leichtlin's_camas, camassia_leichtlinii",
"wild_hyacinth, indigo_squill, camassia_scilloides",
"dogtooth_violet, dogtooth, dog's-tooth_violet",
"white_dogtooth_violet, white_dog's-tooth_violet, blonde_lilian, erythronium_albidum",
"yellow_adder's_tongue, trout_lily, amberbell, erythronium_americanum",
"european_dogtooth, erythronium_dens-canis",
"fawn_lily, erythronium_californicum",
"glacier_lily, snow_lily, erythronium_grandiflorum",
"avalanche_lily, erythronium_montanum",
"fritillary, checkered_lily",
"mission_bells, rice-grain_fritillary, fritillaria_affinis, fritillaria_lanceolata, fritillaria_mutica",
"mission_bells, black_fritillary, fritillaria_biflora",
"stink_bell, fritillaria_agrestis",
"crown_imperial, fritillaria_imperialis",
"white_fritillary, fritillaria_liliaceae",
"snake's_head_fritillary, guinea-hen_flower, checkered_daffodil, leper_lily, fritillaria_meleagris",
"adobe_lily, pink_fritillary, fritillaria_pluriflora",
"scarlet_fritillary, fritillaria_recurva",
"tulip",
"dwarf_tulip, tulipa_armena, tulipa_suaveolens",
"lady_tulip, candlestick_tulip, tulipa_clusiana",
"tulipa_gesneriana",
"cottage_tulip",
"darwin_tulip",
"gloriosa, glory_lily, climbing_lily, creeping_lily, gloriosa_superba",
"lemon_lily, hemerocallis_lilio-asphodelus, hemerocallis_flava",
"common_hyacinth, hyacinthus_orientalis",
"roman_hyacinth, hyacinthus_orientalis_albulus",
"summer_hyacinth, cape_hyacinth, hyacinthus_candicans, galtonia_candicans",
"star-of-bethlehem",
"bath_asparagus, prussian_asparagus, ornithogalum_pyrenaicum",
"grape_hyacinth",
"common_grape_hyacinth, muscari_neglectum",
"tassel_hyacinth, muscari_comosum",
"scilla, squill",
"spring_squill, scilla_verna, sea_onion",
"false_asphodel",
"scotch_asphodel, tofieldia_pusilla",
"sea_squill, sea_onion, squill, urginea_maritima",
"squill",
"butcher's_broom, ruscus_aculeatus",
"bog_asphodel",
"european_bog_asphodel, narthecium_ossifragum",
"american_bog_asphodel, narthecium_americanum",
"hellebore, false_hellebore",
"white_hellebore, american_hellebore, indian_poke, bugbane, veratrum_viride",
"squaw_grass, bear_grass, xerophyllum_tenax",
"death_camas, zigadene",
"alkali_grass, zigadenus_elegans",
"white_camas, zigadenus_glaucus",
"poison_camas, zigadenus_nuttalli",
"grassy_death_camas, zigadenus_venenosus, zigadenus_venenosus_gramineus",
"prairie_wake-robin, prairie_trillium, trillium_recurvatum",
"dwarf-white_trillium, snow_trillium, early_wake-robin",
"herb_paris, paris_quadrifolia",
"sarsaparilla",
"bullbrier, greenbrier, catbrier, horse_brier, horse-brier, brier, briar, smilax_rotundifolia",
"rough_bindweed, smilax_aspera",
"clintonia, clinton's_lily",
"false_lily_of_the_valley, maianthemum_canadense",
"false_lily_of_the_valley, maianthemum_bifolium",
"solomon's-seal",
"great_solomon's-seal, polygonatum_biflorum, polygonatum_commutatum",
"bellwort, merry_bells, wild_oats",
"strawflower, cornflower, uvularia_grandiflora",
"pia, indian_arrowroot, tacca_leontopetaloides, tacca_pinnatifida",
"agave, century_plant, american_aloe",
"american_agave, agave_americana",
"sisal, agave_sisalana",
"maguey, cantala, agave_cantala",
"maguey, agave_atrovirens",
"agave_tequilana",
"cabbage_tree, grass_tree, cordyline_australis",
"dracaena",
"tuberose, polianthes_tuberosa",
"sansevieria, bowstring_hemp",
"african_bowstring_hemp, african_hemp, sansevieria_guineensis",
"ceylon_bowstring_hemp, sansevieria_zeylanica",
"mother-in-law's_tongue, snake_plant, sansevieria_trifasciata",
"spanish_bayonet, yucca_aloifolia",
"spanish_bayonet, yucca_baccata",
"joshua_tree, yucca_brevifolia",
"soapweed, soap-weed, soap_tree, yucca_elata",
"adam's_needle, adam's_needle-and-thread, spoonleaf_yucca, needle_palm, yucca_filamentosa",
"bear_grass, yucca_glauca",
"spanish_dagger, yucca_gloriosa",
"our_lord's_candle, yucca_whipplei",
"water_shamrock, buckbean, bogbean, bog_myrtle, marsh_trefoil, menyanthes_trifoliata",
"butterfly_bush, buddleia",
"yellow_jasmine, yellow_jessamine, carolina_jasmine, evening_trumpet_flower, gelsemium_sempervirens",
"flax",
"calabar_bean, ordeal_bean",
"bonduc, bonduc_tree, caesalpinia_bonduc, caesalpinia_bonducella",
"divi-divi, caesalpinia_coriaria",
"mysore_thorn, caesalpinia_decapetala, caesalpinia_sepiaria",
"brazilian_ironwood, caesalpinia_ferrea",
"bird_of_paradise, poinciana, caesalpinia_gilliesii, poinciana_gilliesii",
"shingle_tree, acrocarpus_fraxinifolius",
"mountain_ebony, orchid_tree, bauhinia_variegata",
"msasa, brachystegia_speciformis",
"cassia",
"golden_shower_tree, drumstick_tree, purging_cassia, pudding_pipe_tree, canafistola, canafistula, cassia_fistula",
"pink_shower, pink_shower_tree, horse_cassia, cassia_grandis",
"rainbow_shower, cassia_javonica",
"horse_cassia, cassia_roxburghii, cassia_marginata",
"carob, carob_tree, carob_bean_tree, algarroba, ceratonia_siliqua",
"carob, carob_bean, algarroba_bean, algarroba, locust_bean, locust_pod",
"paloverde",
"royal_poinciana, flamboyant, flame_tree, peacock_flower, delonix_regia, poinciana_regia",
"locust_tree, locust",
"water_locust, swamp_locust, gleditsia_aquatica",
"honey_locust, gleditsia_triacanthos",
"kentucky_coffee_tree, bonduc, chicot, gymnocladus_dioica",
"logwood, logwood_tree, campeachy, bloodwood_tree, haematoxylum_campechianum",
"jerusalem_thorn, horsebean, parkinsonia_aculeata",
"palo_verde, parkinsonia_florida, cercidium_floridum",
"dalmatian_laburnum, petteria_ramentacea, cytisus_ramentaceus",
"senna",
"avaram, tanner's_cassia, senna_auriculata, cassia_auriculata",
"alexandria_senna, alexandrian_senna, true_senna, tinnevelly_senna, indian_senna, senna_alexandrina, cassia_acutifolia, cassia_augustifolia",
"wild_senna, senna_marilandica, cassia_marilandica",
"sicklepod, senna_obtusifolia, cassia_tora",
"coffee_senna, mogdad_coffee, styptic_weed, stinking_weed, senna_occidentalis, cassia_occidentalis",
"tamarind, tamarind_tree, tamarindo, tamarindus_indica",
"false_indigo, bastard_indigo, amorpha_californica",
"false_indigo, bastard_indigo, amorpha_fruticosa",
"hog_peanut, wild_peanut, amphicarpaea_bracteata, amphicarpa_bracteata",
"angelim, andelmin",
"cabbage_bark, cabbage-bark_tree, cabbage_tree, andira_inermis",
"kidney_vetch, anthyllis_vulneraria",
"groundnut, groundnut_vine, indian_potato, potato_bean, wild_bean, apios_americana, apios_tuberosa",
"rooibos, aspalathus_linearis, aspalathus_cedcarbergensis",
"milk_vetch, milk-vetch",
"alpine_milk_vetch, astragalus_alpinus",
"purple_milk_vetch, astragalus_danicus",
"camwood, african_sandalwood, baphia_nitida",
"wild_indigo, false_indigo",
"blue_false_indigo, baptisia_australis",
"white_false_indigo, baptisia_lactea",
"indigo_broom, horsefly_weed, rattle_weed, baptisia_tinctoria",
"dhak, dak, palas, butea_frondosa, butea_monosperma",
"pigeon_pea, pigeon-pea_plant, cajan_pea, catjang_pea, red_gram, dhal, dahl, cajanus_cajan",
"sword_bean, canavalia_gladiata",
"pea_tree, caragana",
"siberian_pea_tree, caragana_arborescens",
"chinese_pea_tree, caragana_sinica",
"moreton_bay_chestnut, australian_chestnut",
"butterfly_pea, centrosema_virginianum",
"judas_tree, love_tree, circis_siliquastrum",
"redbud, cercis_canadensis",
"western_redbud, california_redbud, cercis_occidentalis",
"tagasaste, chamaecytisus_palmensis, cytesis_proliferus",
"weeping_tree_broom",
"flame_pea",
"chickpea, chickpea_plant, egyptian_pea, cicer_arietinum",
"chickpea, garbanzo",
"kentucky_yellowwood, gopherwood, cladrastis_lutea, cladrastis_kentukea",
"glory_pea, clianthus",
"desert_pea, sturt_pea, sturt's_desert_pea, clianthus_formosus, clianthus_speciosus",
"parrot's_beak, parrot's_bill, clianthus_puniceus",
"butterfly_pea, clitoria_mariana",
"blue_pea, butterfly_pea, clitoria_turnatea",
"telegraph_plant, semaphore_plant, codariocalyx_motorius, desmodium_motorium, desmodium_gyrans",
"bladder_senna, colutea_arborescens",
"axseed, crown_vetch, coronilla_varia",
"crotalaria, rattlebox",
"guar, cluster_bean, cyamopsis_tetragonolobus, cyamopsis_psoraloides",
"white_broom, white_spanish_broom, cytisus_albus, cytisus_multiflorus",
"common_broom, scotch_broom, green_broom, cytisus_scoparius",
"rosewood, rosewood_tree",
"indian_blackwood, east_indian_rosewood, east_india_rosewood, indian_rosewood, dalbergia_latifolia",
"sissoo, sissu, sisham, dalbergia_sissoo",
"kingwood, kingwood_tree, dalbergia_cearensis",
"brazilian_rosewood, caviuna_wood, jacaranda, dalbergia_nigra",
"cocobolo, dalbergia_retusa",
"blackwood, blackwood_tree",
"bitter_pea",
"derris",
"derris_root, tuba_root, derris_elliptica",
"prairie_mimosa, prickle-weed, desmanthus_ilinoensis",
"tick_trefoil, beggar_lice, beggar's_lice",
"beggarweed, desmodium_tortuosum, desmodium_purpureum",
"australian_pea, dipogon_lignosus, dolichos_lignosus",
"coral_tree, erythrina",
"kaffir_boom, cape_kafferboom, erythrina_caffra",
"coral_bean_tree, erythrina_corallodendrum",
"ceibo, crybaby_tree, cry-baby_tree, common_coral_tree, erythrina_crista-galli",
"kaffir_boom, transvaal_kafferboom, erythrina_lysistemon",
"indian_coral_tree, erythrina_variegata, erythrina_indica",
"cork_tree, erythrina_vespertilio",
"goat's_rue, goat_rue, galega_officinalis",
"poison_bush, poison_pea, gastrolobium",
"spanish_broom, spanish_gorse, genista_hispanica",
"woodwaxen, dyer's_greenweed, dyer's-broom, dyeweed, greenweed, whin, woadwaxen, genista_tinctoria",
"chanar, chanal, geoffroea_decorticans",
"gliricidia",
"soy, soybean, soya_bean",
"licorice, liquorice, glycyrrhiza_glabra",
"wild_licorice, wild_liquorice, american_licorice, american_liquorice, glycyrrhiza_lepidota",
"licorice_root",
"western_australia_coral_pea, hardenbergia_comnptoniana",
"sweet_vetch, hedysarum_boreale",
"french_honeysuckle, sulla, hedysarum_coronarium",
"anil, indigofera_suffruticosa, indigofera_anil",
"scarlet_runner, running_postman, kennedia_prostrata",
"hyacinth_bean, bonavist, indian_bean, egyptian_bean, lablab_purpureus, dolichos_lablab",
"scotch_laburnum, alpine_golden_chain, laburnum_alpinum",
"vetchling",
"wild_pea",
"everlasting_pea",
"beach_pea, sea_pea, lathyrus_maritimus, lathyrus_japonicus",
"grass_vetch, grass_vetchling, lathyrus_nissolia",
"marsh_pea, lathyrus_palustris",
"common_vetchling, meadow_pea, yellow_vetchling, lathyrus_pratensis",
"grass_pea, indian_pea, khesari, lathyrus_sativus",
"tangier_pea, tangier_peavine, lalthyrus_tingitanus",
"heath_pea, earth-nut_pea, earthnut_pea, tuberous_vetch, lathyrus_tuberosus",
"bicolor_lespediza, ezo-yama-hagi, lespedeza_bicolor",
"japanese_clover, japan_clover, jap_clover, lespedeza_striata",
"korean_lespedeza, lespedeza_stipulacea",
"sericea_lespedeza, lespedeza_sericea, lespedeza_cuneata",
"lentil, lentil_plant, lens_culinaris",
"lentil",
"prairie_bird's-foot_trefoil, compass_plant, prairie_lotus, prairie_trefoil, lotus_americanus",
"bird's_foot_trefoil, bird's_foot_clover, babies'_slippers, bacon_and_eggs, lotus_corniculatus",
"winged_pea, asparagus_pea, lotus_tetragonolobus",
"lupine, lupin",
"white_lupine, field_lupine, wolf_bean, egyptian_lupine, lupinus_albus",
"tree_lupine, lupinus_arboreus",
"wild_lupine, sundial_lupine, indian_beet, old-maid's_bonnet, lupinus_perennis",
"bluebonnet, buffalo_clover, texas_bluebonnet, lupinus_subcarnosus",
"texas_bluebonnet, lupinus_texensis",
"medic, medick, trefoil",
"moon_trefoil, medicago_arborea",
"sickle_alfalfa, sickle_lucerne, sickle_medick, medicago_falcata",
"calvary_clover, medicago_intertexta, medicago_echinus",
"black_medick, hop_clover, yellow_trefoil, nonesuch_clover, medicago_lupulina",
"alfalfa, lucerne, medicago_sativa",
"millettia",
"mucuna",
"cowage, velvet_bean, bengal_bean, benghal_bean, florida_bean, mucuna_pruriens_utilis, mucuna_deeringiana, mucuna_aterrima, stizolobium_deeringiana",
"tolu_tree, tolu_balsam_tree, myroxylon_balsamum, myroxylon_toluiferum",
"peruvian_balsam, myroxylon_pereirae, myroxylon_balsamum_pereirae",
"sainfoin, sanfoin, holy_clover, esparcet, onobrychis_viciifolia, onobrychis_viciaefolia",
"restharrow, rest-harrow, ononis_repens",
"bead_tree, jumby_bean, jumby_tree, ormosia_monosperma",
"jumby_bead, jumbie_bead, ormosia_coarctata",
"locoweed, crazyweed, crazy_weed",
"purple_locoweed, purple_loco, oxytropis_lambertii",
"tumbleweed",
"yam_bean, pachyrhizus_erosus",
"shamrock_pea, parochetus_communis",
"pole_bean",
"kidney_bean, frijol, frijole",
"haricot",
"wax_bean",
"scarlet_runner, scarlet_runner_bean, dutch_case-knife_bean, runner_bean, phaseolus_coccineus, phaseolus_multiflorus",
"lima_bean, lima_bean_plant, phaseolus_limensis",
"sieva_bean, butter_bean, butter-bean_plant, lima_bean, phaseolus_lunatus",
"tepary_bean, phaseolus_acutifolius_latifolius",
"chaparral_pea, stingaree-bush, pickeringia_montana",
"jamaica_dogwood, fish_fuddle, piscidia_piscipula, piscidia_erythrina",
"pea",
"garden_pea",
"edible-pod_pea, edible-podded_pea, pisum_sativum_macrocarpon",
"sugar_snap_pea, snap_pea",
"field_pea, field-pea_plant, austrian_winter_pea, pisum_sativum_arvense, pisum_arvense",
"field_pea",
"common_flat_pea, native_holly, playlobium_obtusangulum",
"quira",
"roble, platymiscium_trinitatis",
"panama_redwood_tree, panama_redwood, platymiscium_pinnatum",
"indian_beech, pongamia_glabra",
"winged_bean, winged_pea, goa_bean, goa_bean_vine, manila_bean, psophocarpus_tetragonolobus",
"breadroot, indian_breadroot, pomme_blanche, pomme_de_prairie, psoralea_esculenta",
"bloodwood_tree, kiaat, pterocarpus_angolensis",
"kino, pterocarpus_marsupium",
"red_sandalwood, red_sanders, red_sanderswood, red_saunders, pterocarpus_santalinus",
"kudzu, kudzu_vine, pueraria_lobata",
"bristly_locust, rose_acacia, moss_locust, robinia_hispida",
"black_locust, yellow_locust, robinia_pseudoacacia",
"clammy_locust, robinia_viscosa",
"carib_wood, sabinea_carinalis",
"colorado_river_hemp, sesbania_exaltata",
"scarlet_wisteria_tree, vegetable_hummingbird, sesbania_grandiflora",
"japanese_pagoda_tree, chinese_scholartree, chinese_scholar_tree, sophora_japonica, sophora_sinensis",
"mescal_bean, coral_bean, frijolito, frijolillo, sophora_secundiflora",
"kowhai, sophora_tetraptera",
"jade_vine, emerald_creeper, strongylodon_macrobotrys",
"hoary_pea",
"bastard_indigo, tephrosia_purpurea",
"catgut, goat's_rue, wild_sweet_pea, tephrosia_virginiana",
"bush_pea",
"false_lupine, golden_pea, yellow_pea, thermopsis_macrophylla",
"carolina_lupine, thermopsis_villosa",
"tipu, tipu_tree, yellow_jacaranda, pride_of_bolivia",
"bird's_foot_trefoil, trigonella_ornithopodioides",
"fenugreek, greek_clover, trigonella_foenumgraecum",
"gorse, furze, whin, irish_gorse, ulex_europaeus",
"vetch",
"tufted_vetch, bird_vetch, calnada_pea, vicia_cracca",
"broad_bean, fava_bean, horsebean",
"bitter_betch, vicia_orobus",
"bush_vetch, vicia_sepium",
"moth_bean, vigna_aconitifolia, phaseolus_aconitifolius",
"snailflower, snail-flower, snail_flower, snail_bean, corkscrew_flower, vigna_caracalla, phaseolus_caracalla",
"mung, mung_bean, green_gram, golden_gram, vigna_radiata, phaseolus_aureus",
"cowpea, cowpea_plant, black-eyed_pea, vigna_unguiculata, vigna_sinensis",
"cowpea, black-eyed_pea",
"asparagus_bean, yard-long_bean, vigna_unguiculata_sesquipedalis, vigna_sesquipedalis",
"swamp_oak, viminaria_juncea, viminaria_denudata",
"keurboom, virgilia_capensis, virgilia_oroboides",
"keurboom, virgilia_divaricata",
"japanese_wistaria, wisteria_floribunda",
"chinese_wistaria, wisteria_chinensis",
"american_wistaria, american_wisteria, wisteria_frutescens",
"silky_wisteria, wisteria_venusta",
"palm, palm_tree",
"sago_palm",
"feather_palm",
"fan_palm",
"palmetto",
"coyol, coyol_palm, acrocomia_vinifera",
"grugru, gri-gri, grugru_palm, macamba, acrocomia_aculeata",
"areca",
"betel_palm, areca_catechu",
"sugar_palm, gomuti, gomuti_palm, arenga_pinnata",
"piassava_palm, pissaba_palm, bahia_piassava, bahia_coquilla, attalea_funifera",
"coquilla_nut",
"palmyra, palmyra_palm, toddy_palm, wine_palm, lontar, longar_palm, borassus_flabellifer",
"calamus",
"rattan, rattan_palm, calamus_rotang",
"lawyer_cane, calamus_australis",
"fishtail_palm",
"wine_palm, jaggery_palm, kitul, kittul, kitul_tree, toddy_palm, caryota_urens",
"wax_palm, ceroxylon_andicola, ceroxylon_alpinum",
"coconut, coconut_palm, coco_palm, coco, cocoa_palm, coconut_tree, cocos_nucifera",
"carnauba, carnauba_palm, wax_palm, copernicia_prunifera, copernicia_cerifera",
"caranday, caranda, caranda_palm, wax_palm, copernicia_australis, copernicia_alba",
"corozo, corozo_palm",
"gebang_palm, corypha_utan, corypha_gebanga",
"latanier, latanier_palm",
"talipot, talipot_palm, corypha_umbraculifera",
"oil_palm",
"african_oil_palm, elaeis_guineensis",
"american_oil_palm, elaeis_oleifera",
"palm_nut, palm_kernel",
"cabbage_palm, euterpe_oleracea",
"cabbage_palm, cabbage_tree, livistona_australis",
"true_sago_palm, metroxylon_sagu",
"nipa_palm, nipa_fruticans",
"babassu, babassu_palm, coco_de_macao, orbignya_phalerata, orbignya_spesiosa, orbignya_martiana",
"babassu_nut",
"cohune_palm, orbignya_cohune, cohune",
"cohune_nut",
"date_palm, phoenix_dactylifera",
"ivory_palm, ivory-nut_palm, ivory_plant, phytelephas_macrocarpa",
"raffia_palm, raffia_farinifera, raffia_ruffia",
"bamboo_palm, raffia_vinifera",
"lady_palm",
"miniature_fan_palm, bamboo_palm, fern_rhapis, rhapis_excelsa",
"reed_rhapis, slender_lady_palm, rhapis_humilis",
"royal_palm, roystonea_regia",
"cabbage_palm, roystonea_oleracea",
"cabbage_palmetto, cabbage_palm, sabal_palmetto",
"saw_palmetto, scrub_palmetto, serenoa_repens",
"thatch_palm, thatch_tree, silver_thatch, broom_palm, thrinax_parviflora",
"key_palm, silvertop_palmetto, silver_thatch, thrinax_microcarpa, thrinax_morrisii, thrinax_keyensis",
"english_plantain, narrow-leaved_plantain, ribgrass, ribwort, ripple-grass, buckthorn, plantago_lanceolata",
"broad-leaved_plantain, common_plantain, white-man's_foot, whiteman's_foot, cart-track_plant, plantago_major",
"hoary_plantain, plantago_media",
"fleawort, psyllium, spanish_psyllium, plantago_psyllium",
"rugel's_plantain, broad-leaved_plantain, plantago_rugelii",
"hoary_plantain, plantago_virginica",
"buckwheat, polygonum_fagopyrum, fagopyrum_esculentum",
"prince's-feather, princess_feather, kiss-me-over-the-garden-gate, prince's-plume, polygonum_orientale",
"eriogonum",
"umbrella_plant, eriogonum_allenii",
"wild_buckwheat, california_buckwheat, erigonum_fasciculatum",
"rhubarb, rhubarb_plant",
"himalayan_rhubarb, indian_rhubarb, red-veined_pie_plant, rheum_australe, rheum_emodi",
"pie_plant, garden_rhubarb, rheum_cultorum, rheum_rhabarbarum, rheum_rhaponticum",
"chinese_rhubarb, rheum_palmatum",
"sour_dock, garden_sorrel, rumex_acetosa",
"sheep_sorrel, sheep's_sorrel, rumex_acetosella",
"bitter_dock, broad-leaved_dock, yellow_dock, rumex_obtusifolius",
"french_sorrel, garden_sorrel, rumex_scutatus",
"yellow-eyed_grass",
"commelina",
"spiderwort, dayflower",
"pineapple, pineapple_plant, ananas_comosus",
"pipewort, eriocaulon_aquaticum",
"water_hyacinth, water_orchid, eichhornia_crassipes, eichhornia_spesiosa",
"water_star_grass, mud_plantain, heteranthera_dubia",
"naiad, water_nymph",
"water_plantain, alisma_plantago-aquatica",
"narrow-leaved_water_plantain",
"hydrilla, hydrilla_verticillata",
"american_frogbit, limnodium_spongia",
"waterweed",
"canadian_pondweed, elodea_canadensis",
"tape_grass, eelgrass, wild_celery, vallisneria_spiralis",
"pondweed",
"curled_leaf_pondweed, curly_pondweed, potamogeton_crispus",
"loddon_pondweed, potamogeton_nodosus, potamogeton_americanus",
"frog's_lettuce",
"arrow_grass, triglochin_maritima",
"horned_pondweed, zannichellia_palustris",
"eelgrass, grass_wrack, sea_wrack, zostera_marina",
"rose, rosebush",
"hip, rose_hip, rosehip",
"banksia_rose, rosa_banksia",
"damask_rose, summer_damask_rose, rosa_damascena",
"sweetbrier, sweetbriar, brier, briar, eglantine, rosa_eglanteria",
"cherokee_rose, rosa_laevigata",
"musk_rose, rosa_moschata",
"agrimonia, agrimony",
"harvest-lice, agrimonia_eupatoria",
"fragrant_agrimony, agrimonia_procera",
"alderleaf_juneberry, alder-leaved_serviceberry, amelanchier_alnifolia",
"flowering_quince",
"japonica, maule's_quince, chaenomeles_japonica",
"coco_plum, coco_plum_tree, cocoa_plum, icaco, chrysobalanus_icaco",
"cotoneaster",
"cotoneaster_dammeri",
"cotoneaster_horizontalis",
"parsley_haw, parsley-leaved_thorn, crataegus_apiifolia, crataegus_marshallii",
"scarlet_haw, crataegus_biltmoreana",
"blackthorn, pear_haw, pear_hawthorn, crataegus_calpodendron, crataegus_tomentosa",
"cockspur_thorn, cockspur_hawthorn, crataegus_crus-galli",
"mayhaw, summer_haw, crataegus_aestivalis",
"red_haw, downy_haw, crataegus_mollis, crataegus_coccinea_mollis",
"red_haw, crataegus_pedicellata, crataegus_coccinea",
"quince, quince_bush, cydonia_oblonga",
"mountain_avens, dryas_octopetala",
"loquat, loquat_tree, japanese_medlar, japanese_plum, eriobotrya_japonica",
"beach_strawberry, chilean_strawberry, fragaria_chiloensis",
"virginia_strawberry, scarlet_strawberry, fragaria_virginiana",
"avens",
"yellow_avens, geum_alleppicum_strictum, geum_strictum",
"yellow_avens, geum_macrophyllum",
"prairie_smoke, purple_avens, geum_triflorum",
"bennet, white_avens, geum_virginianum",
"toyon, tollon, christmasberry, christmas_berry, heteromeles_arbutifolia, photinia_arbutifolia",
"apple_tree",
"apple, orchard_apple_tree, malus_pumila",
"wild_apple, crab_apple, crabapple",
"crab_apple, crabapple, cultivated_crab_apple",
"siberian_crab, siberian_crab_apple, cherry_apple, cherry_crab, malus_baccata",
"wild_crab, malus_sylvestris",
"american_crab_apple, garland_crab, malus_coronaria",
"oregon_crab_apple, malus_fusca",
"southern_crab_apple, flowering_crab, malus_angustifolia",
"iowa_crab, iowa_crab_apple, prairie_crab, western_crab_apple, malus_ioensis",
"bechtel_crab, flowering_crab",
"medlar, medlar_tree, mespilus_germanica",
"cinquefoil, five-finger",
"silverweed, goose-tansy, goose_grass, potentilla_anserina",
"salad_burnet, burnet_bloodwort, pimpernel, poterium_sanguisorba",
"plum, plum_tree",
"wild_plum, wild_plum_tree",
"allegheny_plum, alleghany_plum, sloe, prunus_alleghaniensis",
"american_red_plum, august_plum, goose_plum, prunus_americana",
"chickasaw_plum, hog_plum, hog_plum_bush, prunus_angustifolia",
"beach_plum, beach_plum_bush, prunus_maritima",
"common_plum, prunus_domestica",
"bullace, prunus_insititia",
"damson_plum, damson_plum_tree, prunus_domestica_insititia",
"big-tree_plum, prunus_mexicana",
"canada_plum, prunus_nigra",
"plumcot, plumcot_tree",
"apricot, apricot_tree",
"japanese_apricot, mei, prunus_mume",
"common_apricot, prunus_armeniaca",
"purple_apricot, black_apricot, prunus_dasycarpa",
"cherry, cherry_tree",
"wild_cherry, wild_cherry_tree",
"wild_cherry",
"sweet_cherry, prunus_avium",
"heart_cherry, oxheart, oxheart_cherry",
"gean, mazzard, mazzard_cherry",
"capulin, capulin_tree, prunus_capuli",
"cherry_laurel, laurel_cherry, mock_orange, wild_orange, prunus_caroliniana",
"cherry_plum, myrobalan, myrobalan_plum, prunus_cerasifera",
"sour_cherry, sour_cherry_tree, prunus_cerasus",
"amarelle, prunus_cerasus_caproniana",
"morello, prunus_cerasus_austera",
"marasca",
"almond_tree",
"almond, sweet_almond, prunus_dulcis, prunus_amygdalus, amygdalus_communis",
"bitter_almond, prunus_dulcis_amara, amygdalus_communis_amara",
"jordan_almond",
"dwarf_flowering_almond, prunus_glandulosa",
"holly-leaved_cherry, holly-leaf_cherry, evergreen_cherry, islay, prunus_ilicifolia",
"fuji, fuji_cherry, prunus_incisa",
"flowering_almond, oriental_bush_cherry, prunus_japonica",
"cherry_laurel, laurel_cherry, prunus_laurocerasus",
"catalina_cherry, prunus_lyonii",
"bird_cherry, bird_cherry_tree",
"hagberry_tree, european_bird_cherry, common_bird_cherry, prunus_padus",
"hagberry",
"pin_cherry, prunus_pensylvanica",
"peach, peach_tree, prunus_persica",
"nectarine, nectarine_tree, prunus_persica_nectarina",
"sand_cherry, prunus_pumila, prunus_pumilla_susquehanae, prunus_susquehanae, prunus_cuneata",
"japanese_plum, prunus_salicina",
"black_cherry, black_cherry_tree, rum_cherry, prunus_serotina",
"flowering_cherry",
"oriental_cherry, japanese_cherry, japanese_flowering_cherry, prunus_serrulata",
"japanese_flowering_cherry, prunus_sieboldii",
"sierra_plum, pacific_plum, prunus_subcordata",
"rosebud_cherry, winter_flowering_cherry, prunus_subhirtella",
"russian_almond, dwarf_russian_almond, prunus_tenella",
"flowering_almond, prunus_triloba",
"chokecherry, chokecherry_tree, prunus_virginiana",
"chokecherry",
"western_chokecherry, prunus_virginiana_demissa, prunus_demissa",
"pyracantha, pyracanth, fire_thorn, firethorn",
"pear, pear_tree, pyrus_communis",
"fruit_tree",
"bramble_bush",
"lawyerbush, lawyer_bush, bush_lawyer, rubus_cissoides, rubus_australis",
"stone_bramble, rubus_saxatilis",
"sand_blackberry, rubus_cuneifolius",
"boysenberry, boysenberry_bush",
"loganberry, rubus_loganobaccus, rubus_ursinus_loganobaccus",
"american_dewberry, rubus_canadensis",
"northern_dewberry, american_dewberry, rubus_flagellaris",
"southern_dewberry, rubus_trivialis",
"swamp_dewberry, swamp_blackberry, rubus_hispidus",
"european_dewberry, rubus_caesius",
"raspberry, raspberry_bush",
"wild_raspberry, european_raspberry, framboise, rubus_idaeus",
"american_raspberry, rubus_strigosus, rubus_idaeus_strigosus",
"black_raspberry, blackcap, blackcap_raspberry, thimbleberry, rubus_occidentalis",
"salmonberry, rubus_spectabilis",
"salmonberry, salmon_berry, thimbleberry, rubus_parviflorus",
"wineberry, rubus_phoenicolasius",
"mountain_ash",
"rowan, rowan_tree, european_mountain_ash, sorbus_aucuparia",
"rowanberry",
"american_mountain_ash, sorbus_americana",
"western_mountain_ash, sorbus_sitchensis",
"service_tree, sorb_apple, sorb_apple_tree, sorbus_domestica",
"wild_service_tree, sorbus_torminalis",
"spirea, spiraea",
"bridal_wreath, bridal-wreath, saint_peter's_wreath, st._peter's_wreath, spiraea_prunifolia",
"madderwort, rubiaceous_plant",
"indian_madder, munjeet, rubia_cordifolia",
"madder, rubia_tinctorum",
"woodruff",
"dagame, lemonwood_tree, calycophyllum_candidissimum",
"blolly, west_indian_snowberry, chiococca_alba",
"coffee, coffee_tree",
"arabian_coffee, coffea_arabica",
"liberian_coffee, coffea_liberica",
"robusta_coffee, rio_nunez_coffee, coffea_robusta, coffea_canephora",
"cinchona, chinchona",
"cartagena_bark, cinchona_cordifolia, cinchona_lancifolia",
"calisaya, cinchona_officinalis, cinchona_ledgeriana, cinchona_calisaya",
"cinchona_tree, cinchona_pubescens",
"cinchona, cinchona_bark, peruvian_bark, jesuit's_bark",
"bedstraw",
"sweet_woodruff, waldmeister, woodruff, fragrant_bedstraw, galium_odoratum, asperula_odorata",
"northern_bedstraw, northern_snow_bedstraw, galium_boreale",
"yellow_bedstraw, yellow_cleavers, our_lady's_bedstraw, galium_verum",
"wild_licorice, galium_lanceolatum",
"cleavers, clivers, goose_grass, catchweed, spring_cleavers, galium_aparine",
"wild_madder, white_madder, white_bedstraw, infant's-breath, false_baby's_breath, galium_mollugo",
"cape_jasmine, cape_jessamine, gardenia_jasminoides, gardenia_augusta",
"genipa",
"genipap_fruit, jagua, marmalade_box, genipa_americana",
"hamelia",
"scarlet_bush, scarlet_hamelia, coloradillo, hamelia_patens, hamelia_erecta",
"lemonwood, lemon-wood, lemonwood_tree, lemon-wood_tree, psychotria_capensis",
"negro_peach, sarcocephalus_latifolius, sarcocephalus_esculentus",
"wild_medlar, wild_medlar_tree, medlar, vangueria_infausta",
"spanish_tamarind, vangueria_madagascariensis",
"abelia",
"bush_honeysuckle, diervilla_sessilifolia",
"american_twinflower, linnaea_borealis_americana",
"honeysuckle",
"american_fly_honeysuckle, fly_honeysuckle, lonicera_canadensis",
"italian_honeysuckle, italian_woodbine, lonicera_caprifolium",
"yellow_honeysuckle, lonicera_flava",
"hairy_honeysuckle, lonicera_hirsuta",
"japanese_honeysuckle, lonicera_japonica",
"hall's_honeysuckle, lonicera_japonica_halliana",
"morrow's_honeysuckle, lonicera_morrowii",
"woodbine, lonicera_periclymenum",
"trumpet_honeysuckle, coral_honeysuckle, trumpet_flower, trumpet_vine, lonicera_sempervirens",
"european_fly_honeysuckle, european_honeysuckle, lonicera_xylosteum",
"swamp_fly_honeysuckle",
"snowberry, common_snowberry, waxberry, symphoricarpos_alba",
"coralberry, indian_currant, symphoricarpos_orbiculatus",
"blue_elder, blue_elderberry, sambucus_caerulea",
"dwarf_elder, danewort, sambucus_ebulus",
"american_red_elder, red-berried_elder, stinking_elder, sambucus_pubens",
"european_red_elder, red-berried_elder, sambucus_racemosa",
"feverroot, horse_gentian, tinker's_root, wild_coffee, triostium_perfoliatum",
"cranberry_bush, cranberry_tree, american_cranberry_bush, highbush_cranberry, viburnum_trilobum",
"wayfaring_tree, twist_wood, twistwood, viburnum_lantana",
"guelder_rose, european_cranberrybush, european_cranberry_bush, crampbark, cranberry_tree, viburnum_opulus",
"arrow_wood, viburnum_recognitum",
"black_haw, viburnum_prunifolium",
"weigela, weigela_florida",
"teasel, teazel, teasle",
"common_teasel, dipsacus_fullonum",
"fuller's_teasel, dipsacus_sativus",
"wild_teasel, dipsacus_sylvestris",
"scabious, scabiosa",
"sweet_scabious, pincushion_flower, mournful_widow, scabiosa_atropurpurea",
"field_scabious, scabiosa_arvensis",
"jewelweed, lady's_earrings, orange_balsam, celandine, touch-me-not, impatiens_capensis",
"geranium",
"cranesbill, crane's_bill",
"wild_geranium, spotted_cranesbill, geranium_maculatum",
"meadow_cranesbill, geranium_pratense",
"richardson's_geranium, geranium_richardsonii",
"herb_robert, herbs_robert, herb_roberts, geranium_robertianum",
"sticky_geranium, geranium_viscosissimum",
"dove's_foot_geranium, geranium_molle",
"rose_geranium, sweet-scented_geranium, pelargonium_graveolens",
"fish_geranium, bedding_geranium, zonal_pelargonium, pelargonium_hortorum",
"ivy_geranium, ivy-leaved_geranium, hanging_geranium, pelargonium_peltatum",
"apple_geranium, nutmeg_geranium, pelargonium_odoratissimum",
"lemon_geranium, pelargonium_limoneum",
"storksbill, heron's_bill",
"musk_clover, muskus_grass, white-stemmed_filaree, erodium_moschatum",
"incense_tree",
"elephant_tree, bursera_microphylla",
"gumbo-limbo, bursera_simaruba",
"boswellia_carteri",
"salai, boswellia_serrata",
"balm_of_gilead, commiphora_meccanensis",
"myrrh_tree, commiphora_myrrha",
"protium_heptaphyllum",
"protium_guianense",
"water_starwort",
"barbados_cherry, acerola, surinam_cherry, west_indian_cherry, malpighia_glabra",
"mahogany, mahogany_tree",
"chinaberry, chinaberry_tree, china_tree, persian_lilac, pride-of-india, azederach, azedarach, melia_azederach, melia_azedarach",
"neem, neem_tree, nim_tree, margosa, arishth, azadirachta_indica, melia_azadirachta",
"neem_seed",
"spanish_cedar, spanish_cedar_tree, cedrela_odorata",
"satinwood, satinwood_tree, chloroxylon_swietenia",
"african_scented_mahogany, cedar_mahogany, sapele_mahogany, entandrophragma_cylindricum",
"silver_ash",
"native_beech, flindosa, flindosy, flindersia_australis",
"bunji-bunji, flindersia_schottiana",
"african_mahogany",
"lanseh_tree, langsat, langset, lansium_domesticum",
"true_mahogany, cuban_mahogany, dominican_mahogany, swietinia_mahogani",
"honduras_mahogany, swietinia_macrophylla",
"philippine_mahogany, philippine_cedar, kalantas, toona_calantas, cedrela_calantas",
"caracolito, ruptiliocarpon_caracolito",
"common_wood_sorrel, cuckoo_bread, shamrock, oxalis_acetosella",
"bermuda_buttercup, english-weed, oxalis_pes-caprae, oxalis_cernua",
"creeping_oxalis, creeping_wood_sorrel, oxalis_corniculata",
"goatsfoot, goat's_foot, oxalis_caprina",
"violet_wood_sorrel, oxalis_violacea",
"oca, oka, oxalis_tuberosa, oxalis_crenata",
"carambola, carambola_tree, averrhoa_carambola",
"bilimbi, averrhoa_bilimbi",
"milkwort",
"senega, polygala_alba",
"orange_milkwort, yellow_milkwort, candyweed, yellow_bachelor's_button, polygala_lutea",
"flowering_wintergreen, gaywings, bird-on-the-wing, fringed_polygala, polygala_paucifolia",
"seneca_snakeroot, seneka_snakeroot, senga_root, senega_root, senega_snakeroot, polygala_senega",
"common_milkwort, gand_flower, polygala_vulgaris",
"rue, herb_of_grace, ruta_graveolens",
"citrus, citrus_tree",
"orange, orange_tree",
"sour_orange, seville_orange, bitter_orange, bitter_orange_tree, bigarade, marmalade_orange, citrus_aurantium",
"bergamot, bergamot_orange, citrus_bergamia",
"pomelo, pomelo_tree, pummelo, shaddock, citrus_maxima, citrus_grandis, citrus_decumana",
"citron, citron_tree, citrus_medica",
"grapefruit, citrus_paradisi",
"mandarin, mandarin_orange, mandarin_orange_tree, citrus_reticulata",
"tangerine, tangerine_tree",
"clementine, clementine_tree",
"satsuma, satsuma_tree",
"sweet_orange, sweet_orange_tree, citrus_sinensis",
"temple_orange, temple_orange_tree, tangor, king_orange, citrus_nobilis",
"tangelo, tangelo_tree, ugli_fruit, citrus_tangelo",
"rangpur, rangpur_lime, lemanderin, citrus_limonia",
"lemon, lemon_tree, citrus_limon",
"sweet_lemon, sweet_lime, citrus_limetta",
"lime, lime_tree, citrus_aurantifolia",
"citrange, citrange_tree, citroncirus_webberi",
"fraxinella, dittany, burning_bush, gas_plant, dictamnus_alba",
"kumquat, cumquat, kumquat_tree",
"marumi, marumi_kumquat, round_kumquat, fortunella_japonica",
"nagami, nagami_kumquat, oval_kumquat, fortunella_margarita",
"cork_tree, phellodendron_amurense",
"trifoliate_orange, trifoliata, wild_orange, poncirus_trifoliata",
"prickly_ash",
"toothache_tree, sea_ash, zanthoxylum_americanum, zanthoxylum_fraxineum",
"hercules'-club, hercules'-clubs, hercules-club, zanthoxylum_clava-herculis",
"bitterwood_tree",
"marupa, simarouba_amara",
"paradise_tree, bitterwood, simarouba_glauca",
"ailanthus",
"tree_of_heaven, tree_of_the_gods, ailanthus_altissima",
"wild_mango, dika, wild_mango_tree, irvingia_gabonensis",
"pepper_tree, kirkia_wilmsii",
"jamaica_quassia, bitterwood, picrasma_excelsa, picrasma_excelsum",
"quassia, bitterwood, quassia_amara",
"nasturtium",
"garden_nasturtium, indian_cress, tropaeolum_majus",
"bush_nasturtium, tropaeolum_minus",
"canarybird_flower, canarybird_vine, canary_creeper, tropaeolum_peregrinum",
"bean_caper, syrian_bean_caper, zygophyllum_fabago",
"palo_santo, bulnesia_sarmienti",
"lignum_vitae, guaiacum_officinale",
"creosote_bush, coville, hediondilla, larrea_tridentata",
"caltrop, devil's_weed, tribulus_terestris",
"willow, willow_tree",
"osier",
"white_willow, huntingdon_willow, salix_alba",
"silver_willow, silky_willow, salix_alba_sericea, salix_sericea",
"golden_willow, salix_alba_vitellina, salix_vitellina",
"cricket-bat_willow, salix_alba_caerulea",
"arctic_willow, salix_arctica",
"weeping_willow, babylonian_weeping_willow, salix_babylonica",
"wisconsin_weeping_willow, salix_pendulina, salix_blanda, salix_pendulina_blanda",
"pussy_willow, salix_discolor",
"sallow",
"goat_willow, florist's_willow, pussy_willow, salix_caprea",
"peachleaf_willow, peach-leaved_willow, almond-leaves_willow, salix_amygdaloides",
"almond_willow, black_hollander, salix_triandra, salix_amygdalina",
"hoary_willow, sage_willow, salix_candida",
"crack_willow, brittle_willow, snap_willow, salix_fragilis",
"prairie_willow, salix_humilis",
"dwarf_willow, salix_herbacea",
"grey_willow, gray_willow, salix_cinerea",
"arroyo_willow, salix_lasiolepis",
"shining_willow, salix_lucida",
"swamp_willow, black_willow, salix_nigra",
"bay_willow, laurel_willow, salix_pentandra",
"purple_willow, red_willow, red_osier, basket_willow, purple_osier, salix_purpurea",
"balsam_willow, salix_pyrifolia",
"creeping_willow, salix_repens",
"sitka_willow, silky_willow, salix_sitchensis",
"dwarf_grey_willow, dwarf_gray_willow, sage_willow, salix_tristis",
"bearberry_willow, salix_uva-ursi",
"common_osier, hemp_willow, velvet_osier, salix_viminalis",
"poplar, poplar_tree",
"balsam_poplar, hackmatack, tacamahac, populus_balsamifera",
"white_poplar, white_aspen, abele, aspen_poplar, silver-leaved_poplar, populus_alba",
"grey_poplar, gray_poplar, populus_canescens",
"black_poplar, populus_nigra",
"lombardy_poplar, populus_nigra_italica",
"cottonwood",
"eastern_cottonwood, necklace_poplar, populus_deltoides",
"black_cottonwood, western_balsam_poplar, populus_trichocarpa",
"swamp_cottonwood, black_cottonwood, downy_poplar, swamp_poplar, populus_heterophylla",
"aspen",
"quaking_aspen, european_quaking_aspen, populus_tremula",
"american_quaking_aspen, american_aspen, populus_tremuloides",
"canadian_aspen, bigtooth_aspen, bigtoothed_aspen, big-toothed_aspen, large-toothed_aspen, large_tooth_aspen, populus_grandidentata",
"sandalwood_tree, true_sandalwood, santalum_album",
"quandong, quandang, quandong_tree, eucarya_acuminata, fusanus_acuminatus",
"rabbitwood, buffalo_nut, pyrularia_pubera",
"loranthaceae, family_loranthaceae, mistletoe_family",
"mistletoe, loranthus_europaeus",
"american_mistletoe, arceuthobium_pusillum",
"mistletoe, viscum_album, old_world_mistletoe",
"american_mistletoe, phoradendron_serotinum, phoradendron_flavescens",
"aalii",
"soapberry, soapberry_tree",
"wild_china_tree, sapindus_drumondii, sapindus_marginatus",
"china_tree, false_dogwood, jaboncillo, chinaberry, sapindus_saponaria",
"akee, akee_tree, blighia_sapida",
"soapberry_vine",
"heartseed, cardiospermum_grandiflorum",
"balloon_vine, heart_pea, cardiospermum_halicacabum",
"longan, lungen, longanberry, dimocarpus_longan, euphorbia_litchi, nephelium_longana",
"harpullia",
"harpulla, harpullia_cupanioides",
"moreton_bay_tulipwood, harpullia_pendula",
"litchi, lichee, litchi_tree, litchi_chinensis, nephelium_litchi",
"spanish_lime, spanish_lime_tree, honey_berry, mamoncillo, genip, ginep, melicocca_bijuga, melicocca_bijugatus",
"rambutan, rambotan, rambutan_tree, nephelium_lappaceum",
"pulasan, pulassan, pulasan_tree, nephelium_mutabile",
"pachysandra",
"allegheny_spurge, allegheny_mountain_spurge, pachysandra_procumbens",
"bittersweet, american_bittersweet, climbing_bittersweet, false_bittersweet, staff_vine, waxwork, shrubby_bittersweet, celastrus_scandens",
"spindle_tree, spindleberry, spindleberry_tree",
"winged_spindle_tree, euonymous_alatus",
"wahoo, burning_bush, euonymus_atropurpureus",
"strawberry_bush, wahoo, euonymus_americanus",
"evergreen_bittersweet, euonymus_fortunei_radicans, euonymus_radicans_vegetus",
"cyrilla, leatherwood, white_titi, cyrilla_racemiflora",
"titi, buckwheat_tree, cliftonia_monophylla",
"crowberry",
"maple",
"silver_maple, acer_saccharinum",
"sugar_maple, rock_maple, acer_saccharum",
"red_maple, scarlet_maple, swamp_maple, acer_rubrum",
"moosewood, moose-wood, striped_maple, striped_dogwood, goosefoot_maple, acer_pennsylvanicum",
"oregon_maple, big-leaf_maple, acer_macrophyllum",
"dwarf_maple, rocky-mountain_maple, acer_glabrum",
"mountain_maple, mountain_alder, acer_spicatum",
"vine_maple, acer_circinatum",
"hedge_maple, field_maple, acer_campestre",
"norway_maple, acer_platanoides",
"sycamore, great_maple, scottish_maple, acer_pseudoplatanus",
"box_elder, ash-leaved_maple, acer_negundo",
"california_box_elder, acer_negundo_californicum",
"pointed-leaf_maple, acer_argutum",
"japanese_maple, full_moon_maple, acer_japonicum",
"japanese_maple, acer_palmatum",
"holly",
"chinese_holly, ilex_cornuta",
"bearberry, possum_haw, winterberry, ilex_decidua",
"inkberry, gallberry, gall-berry, evergreen_winterberry, ilex_glabra",
"mate, paraguay_tea, ilex_paraguariensis",
"american_holly, christmas_holly",
"low_gallberry_holly",
"tall_gallberry_holly",
"yaupon_holly",
"deciduous_holly",
"juneberry_holly",
"largeleaf_holly",
"geogia_holly",
"common_winterberry_holly",
"smooth_winterberry_holly",
"cashew, cashew_tree, anacardium_occidentale",
"goncalo_alves, astronium_fraxinifolium",
"venetian_sumac, wig_tree, cotinus_coggygria",
"laurel_sumac, malosma_laurina, rhus_laurina",
"mango, mango_tree, mangifera_indica",
"pistachio, pistacia_vera, pistachio_tree",
"terebinth, pistacia_terebinthus",
"mastic, mastic_tree, lentisk, pistacia_lentiscus",
"australian_sumac, rhodosphaera_rhodanthema, rhus_rhodanthema",
"sumac, sumach, shumac",
"smooth_sumac, scarlet_sumac, vinegar_tree, rhus_glabra",
"sugar-bush, sugar_sumac, rhus_ovata",
"staghorn_sumac, velvet_sumac, virginian_sumac, vinegar_tree, rhus_typhina",
"squawbush, squaw-bush, skunkbush, rhus_trilobata",
"aroeira_blanca, schinus_chichita",
"pepper_tree, molle, peruvian_mastic_tree, schinus_molle",
"brazilian_pepper_tree, schinus_terebinthifolius",
"hog_plum, yellow_mombin, yellow_mombin_tree, spondias_mombin",
"mombin, mombin_tree, jocote, spondias_purpurea",
"poison_ash, poison_dogwood, poison_sumac, toxicodendron_vernix, rhus_vernix",
"poison_ivy, markweed, poison_mercury, poison_oak, toxicodendron_radicans, rhus_radicans",
"western_poison_oak, toxicodendron_diversilobum, rhus_diversiloba",
"eastern_poison_oak, toxicodendron_quercifolium, rhus_quercifolia, rhus_toxicodenedron",
"varnish_tree, lacquer_tree, chinese_lacquer_tree, japanese_lacquer_tree, japanese_varnish_tree, japanese_sumac, toxicodendron_vernicifluum, rhus_verniciflua",
"horse_chestnut, buckeye, aesculus_hippocastanum",
"buckeye, horse_chestnut, conker",
"sweet_buckeye",
"ohio_buckeye",
"dwarf_buckeye, bottlebrush_buckeye",
"red_buckeye",
"particolored_buckeye",
"ebony, ebony_tree, diospyros_ebenum",
"marblewood, marble-wood, andaman_marble, diospyros_kurzii",
"marblewood, marble-wood",
"persimmon, persimmon_tree",
"japanese_persimmon, kaki, diospyros_kaki",
"american_persimmon, possumwood, diospyros_virginiana",
"date_plum, diospyros_lotus",
"buckthorn",
"southern_buckthorn, shittimwood, shittim, mock_orange, bumelia_lycioides",
"false_buckthorn, chittamwood, chittimwood, shittimwood, black_haw, bumelia_lanuginosa",
"star_apple, caimito, chrysophyllum_cainito",
"satinleaf, satin_leaf, caimitillo, damson_plum, chrysophyllum_oliviforme",
"balata, balata_tree, beefwood, bully_tree, manilkara_bidentata",
"sapodilla, sapodilla_tree, manilkara_zapota, achras_zapota",
"gutta-percha_tree, palaquium_gutta",
"gutta-percha_tree",
"canistel, canistel_tree, pouteria_campechiana_nervosa",
"marmalade_tree, mammee, sapote, pouteria_zapota, calocarpum_zapota",
"sweetleaf, symplocus_tinctoria",
"asiatic_sweetleaf, sapphire_berry, symplocus_paniculata",
"styrax",
"snowbell, styrax_obassia",
"japanese_snowbell, styrax_japonicum",
"texas_snowbell, texas_snowbells, styrax_texana",
"silver-bell_tree, silverbell_tree, snowdrop_tree, opossum_wood, halesia_carolina, halesia_tetraptera",
"carnivorous_plant",
"pitcher_plant",
"common_pitcher_plant, huntsman's_cup, huntsman's_cups, sarracenia_purpurea",
"hooded_pitcher_plant, sarracenia_minor",
"huntsman's_horn, huntsman's_horns, yellow_trumpet, yellow_pitcher_plant, trumpets, sarracenia_flava",
"tropical_pitcher_plant",
"sundew, sundew_plant, daily_dew",
"venus's_flytrap, venus's_flytraps, dionaea_muscipula",
"waterwheel_plant, aldrovanda_vesiculosa",
"drosophyllum_lusitanicum",
"roridula",
"australian_pitcher_plant, cephalotus_follicularis",
"sedum",
"stonecrop",
"rose-root, midsummer-men, sedum_rosea",
"orpine, orpin, livelong, live-forever, sedum_telephium",
"pinwheel, aeonium_haworthii",
"christmas_bush, christmas_tree, ceratopetalum_gummiferum",
"hortensia, hydrangea_macrophylla_hortensis",
"fall-blooming_hydrangea, hydrangea_paniculata",
"carpenteria, carpenteria_californica",
"decumary, decumaria_barbata, decumaria_barbara",
"deutzia",
"philadelphus",
"mock_orange, syringa, philadelphus_coronarius",
"saxifrage, breakstone, rockfoil",
"yellow_mountain_saxifrage, saxifraga_aizoides",
"meadow_saxifrage, fair-maids-of-france, saxifraga_granulata",
"mossy_saxifrage, saxifraga_hypnoides",
"western_saxifrage, saxifraga_occidentalis",
"purple_saxifrage, saxifraga_oppositifolia",
"star_saxifrage, starry_saxifrage, saxifraga_stellaris",
"strawberry_geranium, strawberry_saxifrage, mother-of-thousands, saxifraga_stolonifera, saxifraga_sarmentosam",
"astilbe",
"false_goatsbeard, astilbe_biternata",
"dwarf_astilbe, astilbe_chinensis_pumila",
"spirea, spiraea, astilbe_japonica",
"bergenia",
"coast_boykinia, boykinia_elata, boykinia_occidentalis",
"golden_saxifrage, golden_spleen",
"umbrella_plant, indian_rhubarb, darmera_peltata, peltiphyllum_peltatum",
"bridal_wreath, bridal-wreath, francoa_ramosa",
"alumroot, alumbloom",
"coralbells, heuchera_sanguinea",
"leatherleaf_saxifrage, leptarrhena_pyrolifolia",
"woodland_star, lithophragma_affine, lithophragma_affinis, tellima_affinis",
"prairie_star, lithophragma_parviflorum",
"miterwort, mitrewort, bishop's_cap",
"five-point_bishop's_cap, mitella_pentandra",
"parnassia, grass-of-parnassus",
"bog_star, parnassia_palustris",
"fringed_grass_of_parnassus, parnassia_fimbriata",
"false_alumroot, fringe_cups, tellima_grandiflora",
"foamflower, coolwart, false_miterwort, false_mitrewort, tiarella_cordifolia",
"false_miterwort, false_mitrewort, tiarella_unifoliata",
"pickaback_plant, piggyback_plant, youth-on-age, tolmiea_menziesii",
"currant, currant_bush",
"black_currant, european_black_currant, ribes_nigrum",
"white_currant, ribes_sativum",
"gooseberry, gooseberry_bush, ribes_uva-crispa, ribes_grossularia",
"plane_tree, sycamore, platan",
"london_plane, platanus_acerifolia",
"american_sycamore, american_plane, buttonwood, platanus_occidentalis",
"oriental_plane, platanus_orientalis",
"california_sycamore, platanus_racemosa",
"arizona_sycamore, platanus_wrightii",
"greek_valerian, polemonium_reptans",
"northern_jacob's_ladder, polemonium_boreale",
"skunkweed, skunk-weed, polemonium_viscosum",
"phlox",
"moss_pink, mountain_phlox, moss_phlox, dwarf_phlox, phlox_subulata",
"evening-snow, linanthus_dichotomus",
"acanthus",
"bear's_breech, bear's_breeches, sea_holly, acanthus_mollis",
"caricature_plant, graptophyllum_pictum",
"black-eyed_susan, black-eyed_susan_vine, thunbergia_alata",
"catalpa, indian_bean",
"catalpa_bignioides",
"catalpa_speciosa",
"desert_willow, chilopsis_linearis",
"calabash, calabash_tree, crescentia_cujete",
"calabash",
"borage, tailwort, borago_officinalis",
"common_amsinckia, amsinckia_intermedia",
"anchusa",
"bugloss, alkanet, anchusa_officinalis",
"cape_forget-me-not, anchusa_capensis",
"cape_forget-me-not, anchusa_riparia",
"spanish_elm, equador_laurel, salmwood, cypre, princewood, cordia_alliodora",
"princewood, spanish_elm, cordia_gerascanthus",
"chinese_forget-me-not, cynoglossum_amabile",
"hound's-tongue, cynoglossum_officinale",
"hound's-tongue, cynoglossum_virginaticum",
"blueweed, blue_devil, blue_thistle, viper's_bugloss, echium_vulgare",
"beggar's_lice, beggar_lice",
"gromwell, lithospermum_officinale",
"puccoon, lithospermum_caroliniense",
"virginia_bluebell, virginia_cowslip, mertensia_virginica",
"garden_forget-me-not, myosotis_sylvatica",
"forget-me-not, mouse_ear, myosotis_scorpiodes",
"false_gromwell",
"comfrey, cumfrey",
"common_comfrey, boneset, symphytum_officinale",
"convolvulus",
"bindweed",
"field_bindweed, wild_morning-glory, convolvulus_arvensis",
"scammony, convolvulus_scammonia",
"silverweed",
"dodder",
"dichondra, dichondra_micrantha",
"cypress_vine, star-glory, indian_pink, ipomoea_quamoclit, quamoclit_pennata",
"moonflower, belle_de_nuit, ipomoea_alba",
"wild_potato_vine, wild_sweet_potato_vine, man-of-the-earth, manroot, scammonyroot, ipomoea_panurata, ipomoea_fastigiata",
"red_morning-glory, star_ipomoea, ipomoea_coccinea",
"man-of-the-earth, ipomoea_leptophylla",
"scammony, ipomoea_orizabensis",
"japanese_morning_glory, ipomoea_nil",
"imperial_japanese_morning_glory, ipomoea_imperialis",
"gesneriad",
"gesneria",
"achimenes, hot_water_plant",
"aeschynanthus",
"lace-flower_vine, alsobia_dianthiflora, episcia_dianthiflora",
"columnea",
"episcia",
"gloxinia",
"canterbury_bell, gloxinia_perennis",
"kohleria",
"african_violet, saintpaulia_ionantha",
"streptocarpus",
"cape_primrose",
"waterleaf",
"virginia_waterleaf, shawnee_salad, shawny, indian_salad, john's_cabbage, hydrophyllum_virginianum",
"yellow_bells, california_yellow_bells, whispering_bells, emmanthe_penduliflora",
"yerba_santa, eriodictyon_californicum",
"nemophila",
"baby_blue-eyes, nemophila_menziesii",
"five-spot, nemophila_maculata",
"scorpionweed, scorpion_weed, phacelia",
"california_bluebell, phacelia_campanularia",
"california_bluebell, whitlavia, phacelia_minor, phacelia_whitlavia",
"fiddleneck, phacelia_tanacetifolia",
"fiesta_flower, pholistoma_auritum, nemophila_aurita",
"basil_thyme, basil_balm, mother_of_thyme, acinos_arvensis, satureja_acinos",
"giant_hyssop",
"yellow_giant_hyssop, agastache_nepetoides",
"anise_hyssop, agastache_foeniculum",
"mexican_hyssop, agastache_mexicana",
"bugle, bugleweed",
"creeping_bugle, ajuga_reptans",
"erect_bugle, blue_bugle, ajuga_genevensis",
"pyramid_bugle, ajuga_pyramidalis",
"wood_mint",
"hairy_wood_mint, blephilia_hirsuta",
"downy_wood_mint, blephilia_celiata",
"calamint",
"common_calamint, calamintha_sylvatica, satureja_calamintha_officinalis",
"large-flowered_calamint, calamintha_grandiflora, clinopodium_grandiflorum, satureja_grandiflora",
"lesser_calamint, field_balm, calamintha_nepeta, calamintha_nepeta_glantulosa, satureja_nepeta, satureja_calamintha_glandulosa",
"wild_basil, cushion_calamint, clinopodium_vulgare, satureja_vulgaris",
"horse_balm, horseweed, stoneroot, stone-root, richweed, stone_root, collinsonia_canadensis",
"coleus, flame_nettle",
"country_borage, coleus_aromaticus, coleus_amboinicus, plectranthus_amboinicus",
"painted_nettle, joseph's_coat, coleus_blumei, solenostemon_blumei, solenostemon_scutellarioides",
"apalachicola_rosemary, conradina_glabra",
"dragonhead, dragon's_head, dracocephalum_parviflorum",
"elsholtzia",
"hemp_nettle, dead_nettle, galeopsis_tetrahit",
"ground_ivy, alehoof, field_balm, gill-over-the-ground, runaway_robin, glechoma_hederaceae, nepeta_hederaceae",
"pennyroyal, american_pennyroyal, hedeoma_pulegioides",
"hyssop, hyssopus_officinalis",
"dead_nettle",
"white_dead_nettle, lamium_album",
"henbit, lamium_amplexicaule",
"english_lavender, lavandula_angustifolia, lavandula_officinalis",
"french_lavender, lavandula_stoechas",
"spike_lavender, french_lavender, lavandula_latifolia",
"dagga, cape_dagga, red_dagga, wilde_dagga, leonotis_leonurus",
"lion's-ear, leonotis_nepetaefolia, leonotis_nepetifolia",
"motherwort, leonurus_cardiaca",
"pitcher_sage, lepechinia_calycina, sphacele_calycina",
"bugleweed, lycopus_virginicus",
"water_horehound, lycopus_americanus",
"gipsywort, gypsywort, lycopus_europaeus",
"origanum",
"oregano, marjoram, pot_marjoram, wild_marjoram, winter_sweet, origanum_vulgare",
"sweet_marjoram, knotted_marjoram, origanum_majorana, majorana_hortensis",
"horehound",
"common_horehound, white_horehound, marrubium_vulgare",
"lemon_balm, garden_balm, sweet_balm, bee_balm, beebalm, melissa_officinalis",
"corn_mint, field_mint, mentha_arvensis",
"water-mint, water_mint, mentha_aquatica",
"bergamot_mint, lemon_mint, eau_de_cologne_mint, mentha_citrata",
"horsemint, mentha_longifolia",
"peppermint, mentha_piperita",
"spearmint, mentha_spicata",
"apple_mint, applemint, mentha_rotundifolia, mentha_suaveolens",
"pennyroyal, mentha_pulegium",
"yerba_buena, micromeria_chamissonis, micromeria_douglasii, satureja_douglasii",
"molucca_balm, bells_of_ireland, molucella_laevis",
"monarda, wild_bergamot",
"bee_balm, beebalm, bergamot_mint, oswego_tea, monarda_didyma",
"horsemint, monarda_punctata",
"bee_balm, beebalm, monarda_fistulosa",
"lemon_mint, horsemint, monarda_citriodora",
"plains_lemon_monarda, monarda_pectinata",
"basil_balm, monarda_clinopodia",
"mustang_mint, monardella_lanceolata",
"catmint, catnip, nepeta_cataria",
"basil",
"beefsteak_plant, perilla_frutescens_crispa",
"phlomis",
"jerusalem_sage, phlomis_fruticosa",
"physostegia",
"plectranthus",
"patchouli, patchouly, pachouli, pogostemon_cablin",
"self-heal, heal_all, prunella_vulgaris",
"mountain_mint",
"rosemary, rosmarinus_officinalis",
"clary_sage, salvia_clarea",
"purple_sage, chaparral_sage, salvia_leucophylla",
"cancerweed, cancer_weed, salvia_lyrata",
"common_sage, ramona, salvia_officinalis",
"meadow_clary, salvia_pratensis",
"clary, salvia_sclarea",
"pitcher_sage, salvia_spathacea",
"mexican_mint, salvia_divinorum",
"wild_sage, wild_clary, vervain_sage, salvia_verbenaca",
"savory",
"summer_savory, satureja_hortensis, satureia_hortensis",
"winter_savory, satureja_montana, satureia_montana",
"skullcap, helmetflower",
"blue_pimpernel, blue_skullcap, mad-dog_skullcap, mad-dog_weed, scutellaria_lateriflora",
"hedge_nettle, dead_nettle, stachys_sylvatica",
"hedge_nettle, stachys_palustris",
"germander",
"american_germander, wood_sage, teucrium_canadense",
"cat_thyme, marum, teucrium_marum",
"wood_sage, teucrium_scorodonia",
"thyme",
"common_thyme, thymus_vulgaris",
"wild_thyme, creeping_thyme, thymus_serpyllum",
"blue_curls",
"turpentine_camphor_weed, camphorweed, vinegarweed, trichostema_lanceolatum",
"bastard_pennyroyal, trichostema_dichotomum",
"bladderwort",
"butterwort",
"genlisea",
"martynia, martynia_annua",
"common_unicorn_plant, devil's_claw, common_devil's_claw, elephant-tusk, proboscis_flower, ram's_horn, proboscidea_louisianica",
"sand_devil's_claw, proboscidea_arenaria, martynia_arenaria",
"sweet_unicorn_plant, proboscidea_fragrans, martynia_fragrans",
"figwort",
"snapdragon",
"white_snapdragon, antirrhinum_coulterianum",
"yellow_twining_snapdragon, antirrhinum_filipes",
"mediterranean_snapdragon, antirrhinum_majus",
"kitten-tails",
"alpine_besseya, besseya_alpina",
"false_foxglove, aureolaria_pedicularia, gerardia_pedicularia",
"false_foxglove, aureolaria_virginica, gerardia_virginica",
"calceolaria, slipperwort",
"indian_paintbrush, painted_cup",
"desert_paintbrush, castilleja_chromosa",
"giant_red_paintbrush, castilleja_miniata",
"great_plains_paintbrush, castilleja_sessiliflora",
"sulfur_paintbrush, castilleja_sulphurea",
"shellflower, shell-flower, turtlehead, snakehead, snake-head, chelone_glabra",
"maiden_blue-eyed_mary, collinsia_parviflora",
"blue-eyed_mary, collinsia_verna",
"foxglove, digitalis",
"common_foxglove, fairy_bell, fingerflower, finger-flower, fingerroot, finger-root, digitalis_purpurea",
"yellow_foxglove, straw_foxglove, digitalis_lutea",
"gerardia",
"blue_toadflax, old-field_toadflax, linaria_canadensis",
"toadflax, butter-and-eggs, wild_snapdragon, devil's_flax, linaria_vulgaris",
"golden-beard_penstemon, penstemon_barbatus",
"scarlet_bugler, penstemon_centranthifolius",
"red_shrubby_penstemon, redwood_penstemon",
"platte_river_penstemon, penstemon_cyananthus",
"hot-rock_penstemon, penstemon_deustus",
"jones'_penstemon, penstemon_dolius",
"shrubby_penstemon, lowbush_penstemon, penstemon_fruticosus",
"narrow-leaf_penstemon, penstemon_linarioides",
"balloon_flower, scented_penstemon, penstemon_palmeri",
"parry's_penstemon, penstemon_parryi",
"rock_penstemon, cliff_penstemon, penstemon_rupicola",
"rydberg's_penstemon, penstemon_rydbergii",
"cascade_penstemon, penstemon_serrulatus",
"whipple's_penstemon, penstemon_whippleanus",
"moth_mullein, verbascum_blattaria",
"white_mullein, verbascum_lychnitis",
"purple_mullein, verbascum_phoeniceum",
"common_mullein, great_mullein, aaron's_rod, flannel_mullein, woolly_mullein, torch, verbascum_thapsus",
"veronica, speedwell",
"field_speedwell, veronica_agrestis",
"brooklime, american_brooklime, veronica_americana",
"corn_speedwell, veronica_arvensis",
"brooklime, european_brooklime, veronica_beccabunga",
"germander_speedwell, bird's_eye, veronica_chamaedrys",
"water_speedwell, veronica_michauxii, veronica_anagallis-aquatica",
"common_speedwell, gypsyweed, veronica_officinalis",
"purslane_speedwell, veronica_peregrina",
"thyme-leaved_speedwell, veronica_serpyllifolia",
"nightshade",
"horse_nettle, ball_nettle, bull_nettle, ball_nightshade, solanum_carolinense",
"african_holly, solanum_giganteum",
"potato_vine, solanum_jasmoides",
"garden_huckleberry, wonderberry, sunberry, solanum_nigrum_guineese, solanum_melanocerasum, solanum_burbankii",
"naranjilla, solanum_quitoense",
"potato_vine, giant_potato_creeper, solanum_wendlandii",
"potato_tree, brazilian_potato_tree, solanum_wrightii, solanum_macranthum",
"belladonna, belladonna_plant, deadly_nightshade, atropa_belladonna",
"bush_violet, browallia",
"lady-of-the-night, brunfelsia_americana",
"angel's_trumpet, maikoa, brugmansia_arborea, datura_arborea",
"angel's_trumpet, brugmansia_suaveolens, datura_suaveolens",
"red_angel's_trumpet, brugmansia_sanguinea, datura_sanguinea",
"cone_pepper, capsicum_annuum_conoides",
"bird_pepper, capsicum_frutescens_baccatum, capsicum_baccatum",
"day_jessamine, cestrum_diurnum",
"night_jasmine, night_jessamine, cestrum_nocturnum",
"tree_tomato, tamarillo",
"thorn_apple",
"jimsonweed, jimson_weed, jamestown_weed, common_thorn_apple, apple_of_peru, datura_stramonium",
"pichi, fabiana_imbricata",
"henbane, black_henbane, stinking_nightshade, hyoscyamus_niger",
"egyptian_henbane, hyoscyamus_muticus",
"matrimony_vine, boxthorn",
"common_matrimony_vine, duke_of_argyll's_tea_tree, lycium_barbarum, lycium_halimifolium",
"christmasberry, christmas_berry, lycium_carolinianum",
"plum_tomato",
"mandrake, devil's_apples, mandragora_officinarum",
"mandrake_root, mandrake",
"apple_of_peru, shoo_fly, nicandra_physaloides",
"flowering_tobacco, jasmine_tobacco, nicotiana_alata",
"common_tobacco, nicotiana_tabacum",
"wild_tobacco, indian_tobacco, nicotiana_rustica",
"cupflower, nierembergia",
"whitecup, nierembergia_repens, nierembergia_rivularis",
"petunia",
"large_white_petunia, petunia_axillaris",
"violet-flowered_petunia, petunia_integrifolia",
"hybrid_petunia, petunia_hybrida",
"cape_gooseberry, purple_ground_cherry, physalis_peruviana",
"strawberry_tomato, dwarf_cape_gooseberry, physalis_pruinosa",
"tomatillo, jamberry, mexican_husk_tomato, physalis_ixocarpa",
"tomatillo, miltomate, purple_ground_cherry, jamberry, physalis_philadelphica",
"yellow_henbane, physalis_viscosa",
"cock's_eggs, salpichroa_organifolia, salpichroa_rhomboidea",
"salpiglossis",
"painted_tongue, salpiglossis_sinuata",
"butterfly_flower, poor_man's_orchid, schizanthus",
"scopolia_carniolica",
"chalice_vine, trumpet_flower, cupflower, solandra_guttata",
"verbena, vervain",
"lantana",
"black_mangrove, avicennia_marina",
"white_mangrove, avicennia_officinalis",
"black_mangrove, aegiceras_majus",
"teak, tectona_grandis",
"spurge",
"sun_spurge, wartweed, wartwort, devil's_milk, euphorbia_helioscopia",
"petty_spurge, devil's_milk, euphorbia_peplus",
"medusa's_head, euphorbia_medusae, euphorbia_caput-medusae",
"wild_spurge, flowering_spurge, tramp's_spurge, euphorbia_corollata",
"snow-on-the-mountain, snow-in-summer, ghost_weed, euphorbia_marginata",
"cypress_spurge, euphorbia_cyparissias",
"leafy_spurge, wolf's_milk, euphorbia_esula",
"hairy_spurge, euphorbia_hirsuta",
"poinsettia, christmas_star, christmas_flower, lobster_plant, mexican_flameleaf, painted_leaf, euphorbia_pulcherrima",
"japanese_poinsettia, mole_plant, paint_leaf, euphorbia_heterophylla",
"fire-on-the-mountain, painted_leaf, mexican_fire_plant, euphorbia_cyathophora",
"wood_spurge, euphorbia_amygdaloides",
"dwarf_spurge, euphorbia_exigua",
"scarlet_plume, euphorbia_fulgens",
"naboom, cactus_euphorbia, euphorbia_ingens",
"crown_of_thorns, christ_thorn, christ_plant, euphorbia_milii",
"toothed_spurge, euphorbia_dentata",
"three-seeded_mercury, acalypha_virginica",
"croton, croton_tiglium",
"cascarilla, croton_eluteria",
"cascarilla_bark, eleuthera_bark, sweetwood_bark",
"castor-oil_plant, castor_bean_plant, palma_christi, palma_christ, ricinus_communis",
"spurge_nettle, tread-softly, devil_nettle, pica-pica, cnidoscolus_urens, jatropha_urens, jatropha_stimulosus",
"physic_nut, jatropha_curcus",
"para_rubber_tree, caoutchouc_tree, hevea_brasiliensis",
"cassava, casava",
"bitter_cassava, manioc, mandioc, mandioca, tapioca_plant, gari, manihot_esculenta, manihot_utilissima",
"cassava, manioc",
"sweet_cassava, manihot_dulcis",
"candlenut, varnish_tree, aleurites_moluccana",
"tung_tree, tung, tung-oil_tree, aleurites_fordii",
"slipper_spurge, slipper_plant",
"candelilla, pedilanthus_bracteatus, pedilanthus_pavonis",
"jewbush, jew-bush, jew_bush, redbird_cactus, redbird_flower, pedilanthus_tithymaloides",
"jumping_bean, jumping_seed, mexican_jumping_bean",
"camellia, camelia",
"japonica, camellia_japonica",
"umbellifer, umbelliferous_plant",
"wild_parsley",
"fool's_parsley, lesser_hemlock, aethusa_cynapium",
"dill, anethum_graveolens",
"angelica, angelique",
"garden_angelica, archangel, angelica_archangelica",
"wild_angelica, angelica_sylvestris",
"chervil, beaked_parsley, anthriscus_cereifolium",
"cow_parsley, wild_chervil, anthriscus_sylvestris",
"wild_celery, apium_graveolens",
"astrantia, masterwort",
"greater_masterwort, astrantia_major",
"caraway, carum_carvi",
"whorled_caraway",
"water_hemlock, cicuta_verosa",
"spotted_cowbane, spotted_hemlock, spotted_water_hemlock",
"hemlock, poison_hemlock, poison_parsley, california_fern, nebraska_fern, winter_fern, conium_maculatum",
"earthnut, conopodium_denudatum",
"cumin, cuminum_cyminum",
"wild_carrot, queen_anne's_lace, daucus_carota",
"eryngo, eringo",
"sea_holly, sea_holm, sea_eryngium, eryngium_maritimum",
"button_snakeroot, eryngium_aquaticum",
"rattlesnake_master, rattlesnake's_master, button_snakeroot, eryngium_yuccifolium",
"fennel",
"common_fennel, foeniculum_vulgare",
"florence_fennel, foeniculum_dulce, foeniculum_vulgare_dulce",
"cow_parsnip, hogweed, heracleum_sphondylium",
"lovage, levisticum_officinale",
"sweet_cicely, myrrhis_odorata",
"water_fennel, oenanthe_aquatica",
"parsnip, pastinaca_sativa",
"cultivated_parsnip",
"wild_parsnip, madnep",
"parsley, petroselinum_crispum",
"italian_parsley, flat-leaf_parsley, petroselinum_crispum_neapolitanum",
"hamburg_parsley, turnip-rooted_parsley, petroselinum_crispum_tuberosum",
"anise, anise_plant, pimpinella_anisum",
"sanicle, snakeroot",
"purple_sanicle, sanicula_bipinnatifida",
"european_sanicle, sanicula_europaea",
"water_parsnip, sium_suave",
"greater_water_parsnip, sium_latifolium",
"skirret, sium_sisarum",
"dogwood, dogwood_tree, cornel",
"common_white_dogwood, eastern_flowering_dogwood, cornus_florida",
"red_osier, red_osier_dogwood, red_dogwood, american_dogwood, redbrush, cornus_stolonifera",
"silky_dogwood, cornus_obliqua",
"silky_cornel, silky_dogwood, cornus_amomum",
"common_european_dogwood, red_dogwood, blood-twig, pedwood, cornus_sanguinea",
"bunchberry, dwarf_cornel, crackerberry, pudding_berry, cornus_canadensis",
"cornelian_cherry, cornus_mas",
"puka, griselinia_lucida",
"kapuka, griselinia_littoralis",
"valerian",
"common_valerian, garden_heliotrope, valeriana_officinalis",
"common_corn_salad, lamb's_lettuce, valerianella_olitoria, valerianella_locusta",
"red_valerian, french_honeysuckle, centranthus_ruber",
"filmy_fern, film_fern",
"bristle_fern, filmy_fern",
"hare's-foot_bristle_fern, trichomanes_boschianum",
"killarney_fern, trichomanes_speciosum",
"kidney_fern, trichomanes_reniforme",
"flowering_fern, osmund",
"royal_fern, royal_osmund, king_fern, ditch_fern, french_bracken, osmunda_regalis",
"interrupted_fern, osmunda_clatonia",
"crape_fern, prince-of-wales_fern, prince-of-wales_feather, prince-of-wales_plume, leptopteris_superba, todea_superba",
"crepe_fern, king_fern, todea_barbara",
"curly_grass, curly_grass_fern, schizaea_pusilla",
"pine_fern, anemia_adiantifolia",
"climbing_fern",
"creeping_fern, hartford_fern, lygodium_palmatum",
"climbing_maidenhair, climbing_maidenhair_fern, snake_fern, lygodium_microphyllum",
"scented_fern, mohria_caffrorum",
"clover_fern, pepperwort",
"nardoo, nardo, common_nardoo, marsilea_drummondii",
"water_clover, marsilea_quadrifolia",
"pillwort, pilularia_globulifera",
"regnellidium, regnellidium_diphyllum",
"floating-moss, salvinia_rotundifolia, salvinia_auriculata",
"mosquito_fern, floating_fern, carolina_pond_fern, azolla_caroliniana",
"adder's_tongue, adder's_tongue_fern",
"ribbon_fern, ophioglossum_pendulum",
"grape_fern",
"daisyleaf_grape_fern, daisy-leaved_grape_fern, botrychium_matricariifolium",
"leathery_grape_fern, botrychium_multifidum",
"rattlesnake_fern, botrychium_virginianum",
"flowering_fern, helminthostachys_zeylanica",
"powdery_mildew",
"dutch_elm_fungus, ceratostomella_ulmi",
"ergot, claviceps_purpurea",
"rye_ergot",
"black_root_rot_fungus, xylaria_mali",
"dead-man's-fingers, dead-men's-fingers, xylaria_polymorpha",
"sclerotinia",
"brown_cup",
"earthball, false_truffle, puffball, hard-skinned_puffball",
"scleroderma_citrinum, scleroderma_aurantium",
"scleroderma_flavidium, star_earthball",
"scleroderma_bovista, smooth_earthball",
"podaxaceae",
"stalked_puffball",
"stalked_puffball",
"false_truffle",
"rhizopogon_idahoensis",
"truncocolumella_citrina",
"mucor",
"rhizopus",
"bread_mold, rhizopus_nigricans",
"slime_mold, slime_mould",
"true_slime_mold, acellular_slime_mold, plasmodial_slime_mold, myxomycete",
"cellular_slime_mold",
"dictostylium",
"pond-scum_parasite",
"potato_wart_fungus, synchytrium_endobioticum",
"white_fungus, saprolegnia_ferax",
"water_mold",
"downy_mildew, false_mildew",
"blue_mold_fungus, peronospora_tabacina",
"onion_mildew, peronospora_destructor",
"tobacco_mildew, peronospora_hyoscyami",
"white_rust",
"pythium",
"damping_off_fungus, pythium_debaryanum",
"phytophthora_citrophthora",
"phytophthora_infestans",
"clubroot_fungus, plasmodiophora_brassicae",
"geglossaceae",
"sarcosomataceae",
"rufous_rubber_cup",
"devil's_cigar",
"devil's_urn",
"truffle, earthnut, earth-ball",
"club_fungus",
"coral_fungus",
"tooth_fungus",
"lichen",
"ascolichen",
"basidiolichen",
"lecanora",
"manna_lichen",
"archil, orchil",
"roccella, roccella_tinctoria",
"beard_lichen, beard_moss, usnea_barbata",
"horsehair_lichen, horsetail_lichen",
"reindeer_moss, reindeer_lichen, arctic_moss, cladonia_rangiferina",
"crottle, crottal, crotal",
"iceland_moss, iceland_lichen, cetraria_islandica",
"fungus",
"promycelium",
"true_fungus",
"basidiomycete, basidiomycetous_fungi",
"mushroom",
"agaric",
"mushroom",
"mushroom",
"toadstool",
"horse_mushroom, agaricus_arvensis",
"meadow_mushroom, field_mushroom, agaricus_campestris",
"shiitake, shiitake_mushroom, chinese_black_mushroom, golden_oak_mushroom, oriental_black_mushroom, lentinus_edodes",
"scaly_lentinus, lentinus_lepideus",
"royal_agaric, caesar's_agaric, amanita_caesarea",
"false_deathcap, amanita_mappa",
"fly_agaric, amanita_muscaria",
"death_cap, death_cup, death_angel, destroying_angel, amanita_phalloides",
"blushing_mushroom, blusher, amanita_rubescens",
"destroying_angel, amanita_verna",
"chanterelle, chantarelle, cantharellus_cibarius",
"floccose_chanterelle, cantharellus_floccosus",
"pig's_ears, cantharellus_clavatus",
"cinnabar_chanterelle, cantharellus_cinnabarinus",
"jack-o-lantern_fungus, jack-o-lantern, jack-a-lantern, omphalotus_illudens",
"inky_cap, inky-cap_mushroom, coprinus_atramentarius",
"shaggymane, shaggy_cap, shaggymane_mushroom, coprinus_comatus",
"milkcap, lactarius_delicioso",
"fairy-ring_mushroom, marasmius_oreades",
"fairy_ring, fairy_circle",
"oyster_mushroom, oyster_fungus, oyster_agaric, pleurotus_ostreatus",
"olive-tree_agaric, pleurotus_phosphoreus",
"pholiota_astragalina",
"pholiota_aurea, golden_pholiota",
"pholiota_destruens",
"pholiota_flammans",
"pholiota_flavida",
"nameko, viscid_mushroom, pholiota_nameko",
"pholiota_squarrosa-adiposa",
"pholiota_squarrosa, scaly_pholiota",
"pholiota_squarrosoides",
"stropharia_ambigua",
"stropharia_hornemannii",
"stropharia_rugoso-annulata",
"gill_fungus",
"entoloma_lividum, entoloma_sinuatum",
"entoloma_aprile",
"chlorophyllum_molybdites",
"lepiota",
"parasol_mushroom, lepiota_procera",
"poisonous_parasol, lepiota_morgani",
"lepiota_naucina",
"lepiota_rhacodes",
"american_parasol, lepiota_americana",
"lepiota_rubrotincta",
"lepiota_clypeolaria",
"onion_stem, lepiota_cepaestipes",
"pink_disease_fungus, corticium_salmonicolor",
"bottom_rot_fungus, corticium_solani",
"potato_fungus, pellicularia_filamentosa, rhizoctinia_solani",
"coffee_fungus, pellicularia_koleroga",
"blewits, clitocybe_nuda",
"sandy_mushroom, tricholoma_populinum",
"tricholoma_pessundatum",
"tricholoma_sejunctum",
"man-on-a-horse, tricholoma_flavovirens",
"tricholoma_venenata",
"tricholoma_pardinum",
"tricholoma_vaccinum",
"tricholoma_aurantium",
"volvaria_bombycina",
"pluteus_aurantiorugosus",
"pluteus_magnus, sawdust_mushroom",
"deer_mushroom, pluteus_cervinus",
"straw_mushroom, chinese_mushroom, volvariella_volvacea",
"volvariella_bombycina",
"clitocybe_clavipes",
"clitocybe_dealbata",
"clitocybe_inornata",
"clitocybe_robusta, clytocybe_alba",
"clitocybe_irina, tricholoma_irinum, lepista_irina",
"clitocybe_subconnexa",
"winter_mushroom, flammulina_velutipes",
"mycelium",
"sclerotium",
"sac_fungus",
"ascomycete, ascomycetous_fungus",
"clavicipitaceae, grainy_club_mushrooms",
"grainy_club",
"yeast",
"baker's_yeast, brewer's_yeast, saccharomyces_cerevisiae",
"wine-maker's_yeast, saccharomyces_ellipsoides",
"aspergillus_fumigatus",
"brown_root_rot_fungus, thielavia_basicola",
"discomycete, cup_fungus",
"leotia_lubrica",
"mitrula_elegans",
"sarcoscypha_coccinea, scarlet_cup",
"caloscypha_fulgens",
"aleuria_aurantia, orange_peel_fungus",
"elf_cup",
"peziza_domicilina",
"blood_cup, fairy_cup, peziza_coccinea",
"urnula_craterium, urn_fungus",
"galiella_rufa",
"jafnea_semitosta",
"morel",
"common_morel, morchella_esculenta, sponge_mushroom, sponge_morel",
"disciotis_venosa, cup_morel",
"verpa, bell_morel",
"verpa_bohemica, early_morel",
"verpa_conica, conic_verpa",
"black_morel, morchella_conica, conic_morel, morchella_angusticeps, narrowhead_morel",
"morchella_crassipes, thick-footed_morel",
"morchella_semilibera, half-free_morel, cow's_head",
"wynnea_americana",
"wynnea_sparassoides",
"false_morel",
"lorchel",
"helvella",
"helvella_crispa, miter_mushroom",
"helvella_acetabulum",
"helvella_sulcata",
"discina",
"gyromitra",
"gyromitra_californica, california_false_morel",
"gyromitra_sphaerospora, round-spored_gyromitra",
"gyromitra_esculenta, brain_mushroom, beefsteak_morel",
"gyromitra_infula, saddled-shaped_false_morel",
"gyromitra_fastigiata, gyromitra_brunnea",
"gyromitra_gigas",
"gasteromycete, gastromycete",
"stinkhorn, carrion_fungus",
"common_stinkhorn, phallus_impudicus",
"phallus_ravenelii",
"dog_stinkhorn, mutinus_caninus",
"calostoma_lutescens",
"calostoma_cinnabarina",
"calostoma_ravenelii",
"stinky_squid, pseudocolus_fusiformis",
"puffball, true_puffball",
"giant_puffball, calvatia_gigantea",
"earthstar",
"geastrum_coronatum",
"radiigera_fuscogleba",
"astreus_pteridis",
"astreus_hygrometricus",
"bird's-nest_fungus",
"gastrocybe_lateritia",
"macowanites_americanus",
"polypore, pore_fungus, pore_mushroom",
"bracket_fungus, shelf_fungus",
"albatrellus_dispansus",
"albatrellus_ovinus, sheep_polypore",
"neolentinus_ponderosus",
"oligoporus_leucospongia",
"polyporus_tenuiculus",
"hen-of-the-woods, hen_of_the_woods, polyporus_frondosus, grifola_frondosa",
"polyporus_squamosus, scaly_polypore",
"beefsteak_fungus, fistulina_hepatica",
"agaric, fomes_igniarius",
"bolete",
"boletus_chrysenteron",
"boletus_edulis",
"frost's_bolete, boletus_frostii",
"boletus_luridus",
"boletus_mirabilis",
"boletus_pallidus",
"boletus_pulcherrimus",
"boletus_pulverulentus",
"boletus_roxanae",
"boletus_subvelutipes",
"boletus_variipes",
"boletus_zelleri",
"fuscoboletinus_paluster",
"fuscoboletinus_serotinus",
"leccinum_fibrillosum",
"suillus_albivelatus",
"old-man-of-the-woods, strobilomyces_floccopus",
"boletellus_russellii",
"jelly_fungus",
"snow_mushroom, tremella_fuciformis",
"witches'_butter, tremella_lutescens",
"tremella_foliacea",
"tremella_reticulata",
"jew's-ear, jew's-ears, ear_fungus, auricularia_auricula",
"rust, rust_fungus",
"aecium",
"flax_rust, flax_rust_fungus, melampsora_lini",
"blister_rust, cronartium_ribicola",
"wheat_rust, puccinia_graminis",
"apple_rust, cedar-apple_rust, gymnosporangium_juniperi-virginianae",
"smut, smut_fungus",
"covered_smut",
"loose_smut",
"cornsmut, corn_smut",
"boil_smut, ustilago_maydis",
"sphacelotheca, genus_sphacelotheca",
"head_smut, sphacelotheca_reiliana",
"bunt, tilletia_caries",
"bunt, stinking_smut, tilletia_foetida",
"onion_smut, urocystis_cepulae",
"flag_smut_fungus",
"wheat_flag_smut, urocystis_tritici",
"felt_fungus, septobasidium_pseudopedicellatum",
"waxycap",
"hygrocybe_acutoconica, conic_waxycap",
"hygrophorus_borealis",
"hygrophorus_caeruleus",
"hygrophorus_inocybiformis",
"hygrophorus_kauffmanii",
"hygrophorus_marzuolus",
"hygrophorus_purpurascens",
"hygrophorus_russula",
"hygrophorus_sordidus",
"hygrophorus_tennesseensis",
"hygrophorus_turundus",
"neohygrophorus_angelesianus",
"cortinarius_armillatus",
"cortinarius_atkinsonianus",
"cortinarius_corrugatus",
"cortinarius_gentilis",
"cortinarius_mutabilis, purple-staining_cortinarius",
"cortinarius_semisanguineus",
"cortinarius_subfoetidus",
"cortinarius_violaceus",
"gymnopilus_spectabilis",
"gymnopilus_validipes",
"gymnopilus_ventricosus",
"mold, mould",
"mildew",
"verticillium",
"monilia",
"candida",
"candida_albicans, monilia_albicans",
"blastomycete",
"yellow_spot_fungus, cercospora_kopkei",
"green_smut_fungus, ustilaginoidea_virens",
"dry_rot",
"rhizoctinia",
"houseplant",
"bedder, bedding_plant",
"succulent",
"cultivar",
"weed",
"wort",
"brier",
"aril",
"sporophyll, sporophyl",
"sporangium, spore_case, spore_sac",
"sporangiophore",
"ascus",
"ascospore",
"arthrospore",
"eusporangium",
"tetrasporangium",
"gametangium",
"sorus",
"sorus",
"partial_veil",
"lignum",
"vascular_ray, medullary_ray",
"phloem, bast",
"evergreen, evergreen_plant",
"deciduous_plant",
"poisonous_plant",
"vine",
"creeper",
"tendril",
"root_climber",
"lignosae",
"arborescent_plant",
"snag",
"tree",
"timber_tree",
"treelet",
"arbor",
"bean_tree",
"pollard",
"sapling",
"shade_tree",
"gymnospermous_tree",
"conifer, coniferous_tree",
"angiospermous_tree, flowering_tree",
"nut_tree",
"spice_tree",
"fever_tree",
"stump, tree_stump",
"bonsai",
"ming_tree",
"ming_tree",
"undershrub",
"subshrub, suffrutex",
"bramble",
"liana",
"geophyte",
"desert_plant, xerophyte, xerophytic_plant, xerophile, xerophilous_plant",
"mesophyte, mesophytic_plant",
"marsh_plant, bog_plant, swamp_plant",
"hemiepiphyte, semiepiphyte",
"strangler, strangler_tree",
"lithophyte, lithophytic_plant",
"saprobe",
"autophyte, autophytic_plant, autotroph, autotrophic_organism",
"root",
"taproot",
"prop_root",
"prophyll",
"rootstock",
"quickset",
"stolon, runner, offset",
"tuberous_plant",
"rhizome, rootstock, rootstalk",
"rachis",
"caudex",
"cladode, cladophyll, phylloclad, phylloclade",
"receptacle",
"scape, flower_stalk",
"umbel",
"petiole, leafstalk",
"peduncle",
"pedicel, pedicle",
"flower_cluster",
"raceme",
"panicle",
"thyrse, thyrsus",
"cyme",
"cymule",
"glomerule",
"scorpioid_cyme",
"ear, spike, capitulum",
"spadix",
"bulbous_plant",
"bulbil, bulblet",
"cormous_plant",
"fruit",
"fruitlet",
"seed",
"bean",
"nut",
"nutlet",
"kernel, meat",
"syconium",
"berry",
"aggregate_fruit, multiple_fruit, syncarp",
"simple_fruit, bacca",
"acinus",
"drupe, stone_fruit",
"drupelet",
"pome, false_fruit",
"pod, seedpod",
"loment",
"pyxidium, pyxis",
"husk",
"cornhusk",
"pod, cod, seedcase",
"accessory_fruit, pseudocarp",
"buckthorn",
"buckthorn_berry, yellow_berry",
"cascara_buckthorn, bearberry, bearwood, chittamwood, chittimwood, rhamnus_purshianus",
"cascara, cascara_sagrada, chittam_bark, chittem_bark",
"carolina_buckthorn, indian_cherry, rhamnus_carolinianus",
"coffeeberry, california_buckthorn, california_coffee, rhamnus_californicus",
"redberry, red-berry, rhamnus_croceus",
"nakedwood",
"jujube, jujube_bush, christ's-thorn, jerusalem_thorn, ziziphus_jujuba",
"christ's-thorn, jerusalem_thorn, paliurus_spina-christi",
"hazel, hazel_tree, pomaderris_apetala",
"fox_grape, vitis_labrusca",
"muscadine, vitis_rotundifolia",
"vinifera, vinifera_grape, common_grape_vine, vitis_vinifera",
"pinot_blanc",
"sauvignon_grape",
"sauvignon_blanc",
"muscadet",
"riesling",
"zinfandel",
"chenin_blanc",
"malvasia",
"verdicchio",
"boston_ivy, japanese_ivy, parthenocissus_tricuspidata",
"virginia_creeper, american_ivy, woodbine, parthenocissus_quinquefolia",
"true_pepper, pepper_vine",
"betel, betel_pepper, piper_betel",
"cubeb",
"schizocarp",
"peperomia",
"watermelon_begonia, peperomia_argyreia, peperomia_sandersii",
"yerba_mansa, anemopsis_californica",
"pinna, pinnule",
"frond",
"bract",
"bracteole, bractlet",
"involucre",
"glume",
"palmate_leaf",
"pinnate_leaf",
"bijugate_leaf, bijugous_leaf, twice-pinnate",
"decompound_leaf",
"acuminate_leaf",
"deltoid_leaf",
"ensiform_leaf",
"linear_leaf, elongate_leaf",
"lyrate_leaf",
"obtuse_leaf",
"oblanceolate_leaf",
"pandurate_leaf, panduriform_leaf",
"reniform_leaf",
"spatulate_leaf",
"even-pinnate_leaf, abruptly-pinnate_leaf",
"odd-pinnate_leaf",
"pedate_leaf",
"crenate_leaf",
"dentate_leaf",
"denticulate_leaf",
"erose_leaf",
"runcinate_leaf",
"prickly-edged_leaf",
"deadwood",
"haulm, halm",
"branchlet, twig, sprig",
"osier",
"giant_scrambling_fern, diplopterygium_longissimum",
"umbrella_fern, fan_fern, sticherus_flabellatus, gleichenia_flabellata",
"floating_fern, water_sprite, ceratopteris_pteridioides",
"polypody",
"licorice_fern, polypodium_glycyrrhiza",
"grey_polypody, gray_polypody, resurrection_fern, polypodium_polypodioides",
"leatherleaf, leathery_polypody, coast_polypody, polypodium_scouleri",
"rock_polypody, rock_brake, american_wall_fern, polypodium_virgianum",
"common_polypody, adder's_fern, wall_fern, golden_maidenhair, golden_polypody, sweet_fern, polypodium_vulgare",
"bear's-paw_fern, aglaomorpha_meyeniana",
"strap_fern",
"florida_strap_fern, cow-tongue_fern, hart's-tongue_fern",
"basket_fern, drynaria_rigidula",
"snake_polypody, microgramma-piloselloides",
"climbing_bird's_nest_fern, microsorium_punctatum",
"golden_polypody, serpent_fern, rabbit's-foot_fern, phlebodium_aureum, polypodium_aureum",
"staghorn_fern",
"south_american_staghorn, platycerium_andinum",
"common_staghorn_fern, elkhorn_fern, platycerium_bifurcatum, platycerium_alcicorne",
"felt_fern, tongue_fern, pyrrosia_lingua, cyclophorus_lingua",
"potato_fern, solanopteris_bifrons",
"myrmecophyte",
"grass_fern, ribbon_fern, vittaria_lineata",
"spleenwort",
"black_spleenwort, asplenium_adiantum-nigrum",
"bird's_nest_fern, asplenium_nidus",
"ebony_spleenwort, scott's_spleenwort, asplenium_platyneuron",
"black-stem_spleenwort, black-stemmed_spleenwort, little_ebony_spleenwort",
"walking_fern, walking_leaf, asplenium_rhizophyllum, camptosorus_rhizophyllus",
"green_spleenwort, asplenium_viride",
"mountain_spleenwort, asplenium_montanum",
"lobed_spleenwort, asplenium_pinnatifidum",
"lanceolate_spleenwort, asplenium_billotii",
"hart's-tongue, hart's-tongue_fern, asplenium_scolopendrium, phyllitis_scolopendrium",
"scale_fern, scaly_fern, asplenium_ceterach, ceterach_officinarum",
"scolopendrium",
"deer_fern, blechnum_spicant",
"doodia, rasp_fern",
"chain_fern",
"virginia_chain_fern, woodwardia_virginica",
"silver_tree_fern, sago_fern, black_tree_fern, cyathea_medullaris",
"davallia",
"hare's-foot_fern",
"canary_island_hare's_foot_fern, davallia_canariensis",
"squirrel's-foot_fern, ball_fern, davalia_bullata, davalia_bullata_mariesii, davallia_mariesii",
"bracken, pteridium_esculentum",
"soft_tree_fern, dicksonia_antarctica",
"scythian_lamb, cibotium_barometz",
"false_bracken, culcita_dubia",
"thyrsopteris, thyrsopteris_elegans",
"shield_fern, buckler_fern",
"broad_buckler-fern, dryopteris_dilatata",
"fragrant_cliff_fern, fragrant_shield_fern, fragrant_wood_fern, dryopteris_fragrans",
"goldie's_fern, goldie's_shield_fern, goldie's_wood_fern, dryopteris_goldiana",
"wood_fern, wood-fern, woodfern",
"male_fern, dryopteris_filix-mas",
"marginal_wood_fern, evergreen_wood_fern, leatherleaf_wood_fern, dryopteris_marginalis",
"mountain_male_fern, dryopteris_oreades",
"lady_fern, athyrium_filix-femina",
"alpine_lady_fern, athyrium_distentifolium",
"silvery_spleenwort, glade_fern, narrow-leaved_spleenwort, athyrium_pycnocarpon, diplazium_pycnocarpon",
"holly_fern, cyrtomium_aculeatum, polystichum_aculeatum",
"bladder_fern",
"brittle_bladder_fern, brittle_fern, fragile_fern, cystopteris_fragilis",
"mountain_bladder_fern, cystopteris_montana",
"bulblet_fern, bulblet_bladder_fern, berry_fern, cystopteris_bulbifera",
"silvery_spleenwort, deparia_acrostichoides, athyrium_thelypteroides",
"oak_fern, gymnocarpium_dryopteris, thelypteris_dryopteris",
"limestone_fern, northern_oak_fern, gymnocarpium_robertianum",
"ostrich_fern, shuttlecock_fern, fiddlehead, matteuccia_struthiopteris, pteretis_struthiopteris, onoclea_struthiopteris",
"hart's-tongue, hart's-tongue_fern, olfersia_cervina, polybotrya_cervina, polybotria_cervina",
"sensitive_fern, bead_fern, onoclea_sensibilis",
"christmas_fern, canker_brake, dagger_fern, evergreen_wood_fern, polystichum_acrostichoides",
"holly_fern",
"braun's_holly_fern, prickly_shield_fern, polystichum_braunii",
"western_holly_fern, polystichum_scopulinum",
"soft_shield_fern, polystichum_setiferum",
"leather_fern, leatherleaf_fern, ten-day_fern, rumohra_adiantiformis, polystichum_adiantiformis",
"button_fern, tectaria_cicutaria",
"indian_button_fern, tectaria_macrodonta",
"woodsia",
"rusty_woodsia, fragrant_woodsia, oblong_woodsia, woodsia_ilvensis",
"alpine_woodsia, northern_woodsia, flower-cup_fern, woodsia_alpina",
"smooth_woodsia, woodsia_glabella",
"boston_fern, nephrolepis_exaltata, nephrolepis_exaltata_bostoniensis",
"basket_fern, toothed_sword_fern, nephrolepis_pectinata",
"golden_fern, leather_fern, acrostichum_aureum",
"maidenhair, maidenhair_fern",
"common_maidenhair, venushair, venus'-hair_fern, southern_maidenhair, venus_maidenhair, adiantum_capillus-veneris",
"american_maidenhair_fern, five-fingered_maidenhair_fern, adiantum_pedatum",
"bermuda_maidenhair, bermuda_maidenhair_fern, adiantum_bellum",
"brittle_maidenhair, brittle_maidenhair_fern, adiantum_tenerum",
"farley_maidenhair, farley_maidenhair_fern, barbados_maidenhair, glory_fern, adiantum_tenerum_farleyense",
"annual_fern, jersey_fern, anogramma_leptophylla",
"lip_fern, lipfern",
"smooth_lip_fern, alabama_lip_fern, cheilanthes_alabamensis",
"lace_fern, cheilanthes_gracillima",
"wooly_lip_fern, hairy_lip_fern, cheilanthes_lanosa",
"southwestern_lip_fern, cheilanthes_eatonii",
"bamboo_fern, coniogramme_japonica",
"american_rock_brake, american_parsley_fern, cryptogramma_acrostichoides",
"european_parsley_fern, mountain_parsley_fern, cryptogramma_crispa",
"hand_fern, doryopteris_pedata",
"cliff_brake, cliff-brake, rock_brake",
"coffee_fern, pellaea_andromedifolia",
"purple_rock_brake, pellaea_atropurpurea",
"bird's-foot_fern, pellaea_mucronata, pellaea_ornithopus",
"button_fern, pellaea_rotundifolia",
"silver_fern, pityrogramma_argentea",
"golden_fern, pityrogramma_calomelanos_aureoflava",
"gold_fern, pityrogramma_chrysophylla",
"pteris_cretica",
"spider_brake, spider_fern, pteris_multifida",
"ribbon_fern, spider_fern, pteris_serrulata",
"potato_fern, marattia_salicina",
"angiopteris, giant_fern, angiopteris_evecta",
"skeleton_fork_fern, psilotum_nudum",
"horsetail",
"common_horsetail, field_horsetail, equisetum_arvense",
"swamp_horsetail, water_horsetail, equisetum_fluviatile",
"scouring_rush, rough_horsetail, equisetum_hyemale, equisetum_hyemale_robustum, equisetum_robustum",
"marsh_horsetail, equisetum_palustre",
"wood_horsetail, equisetum_sylvaticum",
"variegated_horsetail, variegated_scouring_rush, equisetum_variegatum",
"club_moss, club-moss, lycopod",
"shining_clubmoss, lycopodium_lucidulum",
"alpine_clubmoss, lycopodium_alpinum",
"fir_clubmoss, mountain_clubmoss, little_clubmoss, lycopodium_selago",
"ground_cedar, staghorn_moss, lycopodium_complanatum",
"ground_fir, princess_pine, tree_clubmoss, lycopodium_obscurum",
"foxtail_grass, lycopodium_alopecuroides",
"spikemoss, spike_moss, little_club_moss",
"meadow_spikemoss, basket_spikemoss, selaginella_apoda",
"desert_selaginella, selaginella_eremophila",
"resurrection_plant, rose_of_jericho, selaginella_lepidophylla",
"florida_selaginella, selaginella_eatonii",
"quillwort",
"earthtongue, earth-tongue",
"snuffbox_fern, meadow_fern, thelypteris_palustris_pubescens, dryopteris_thelypteris_pubescens",
"christella",
"mountain_fern, oreopteris_limbosperma, dryopteris_oreopteris",
"new_york_fern, parathelypteris_novae-boracensis, dryopteris_noveboracensis",
"massachusetts_fern, parathelypteris_simulata, thelypteris_simulata",
"beech_fern",
"broad_beech_fern, southern_beech_fern, phegopteris_hexagonoptera, dryopteris_hexagonoptera, thelypteris_hexagonoptera",
"long_beech_fern, narrow_beech_fern, northern_beech_fern, phegopteris_connectilis, dryopteris_phegopteris, thelypteris_phegopteris",
"shoestring_fungus",
"armillaria_caligata, booted_armillaria",
"armillaria_ponderosa, white_matsutake",
"armillaria_zelleri",
"honey_mushroom, honey_fungus, armillariella_mellea",
"milkweed, silkweed",
"white_milkweed, asclepias_albicans",
"poke_milkweed, asclepias_exaltata",
"swamp_milkweed, asclepias_incarnata",
"mead's_milkweed, asclepias_meadii, asclepia_meadii",
"purple_silkweed, asclepias_purpurascens",
"showy_milkweed, asclepias_speciosa",
"poison_milkweed, horsetail_milkweed, asclepias_subverticillata",
"butterfly_weed, orange_milkweed, chigger_flower, chiggerflower, pleurisy_root, tuber_root, indian_paintbrush, asclepias_tuberosa",
"whorled_milkweed, asclepias_verticillata",
"cruel_plant, araujia_sericofera",
"wax_plant, hoya_carnosa",
"silk_vine, periploca_graeca",
"stapelia, carrion_flower, starfish_flower",
"stapelias_asterias",
"stephanotis",
"madagascar_jasmine, waxflower, stephanotis_floribunda",
"negro_vine, vincetoxicum_hirsutum, vincetoxicum_negrum",
"zygospore",
"tree_of_knowledge",
"orangery",
"pocketbook",
"shit, dump",
"cordage",
"yard, pace",
"extremum, peak",
"leaf_shape, leaf_form",
"equilateral",
"figure",
"pencil",
"plane_figure, two-dimensional_figure",
"solid_figure, three-dimensional_figure",
"line",
"bulb",
"convex_shape, convexity",
"concave_shape, concavity, incurvation, incurvature",
"cylinder",
"round_shape",
"heart",
"polygon, polygonal_shape",
"convex_polygon",
"concave_polygon",
"reentrant_polygon, reentering_polygon",
"amorphous_shape",
"closed_curve",
"simple_closed_curve, jordan_curve",
"s-shape",
"wave, undulation",
"extrados",
"hook, crotchet",
"envelope",
"bight",
"diameter",
"cone, conoid, cone_shape",
"funnel, funnel_shape",
"oblong",
"circle",
"circle",
"equator",
"scallop, crenation, crenature, crenel, crenelle",
"ring, halo, annulus, doughnut, anchor_ring",
"loop",
"bight",
"helix, spiral",
"element_of_a_cone",
"element_of_a_cylinder",
"ellipse, oval",
"quadrate",
"triangle, trigon, trilateral",
"acute_triangle, acute-angled_triangle",
"isosceles_triangle",
"obtuse_triangle, obtuse-angled_triangle",
"right_triangle, right-angled_triangle",
"scalene_triangle",
"parallel",
"trapezoid",
"star",
"pentagon",
"hexagon",
"heptagon",
"octagon",
"nonagon",
"decagon",
"rhombus, rhomb, diamond",
"spherical_polygon",
"spherical_triangle",
"convex_polyhedron",
"concave_polyhedron",
"cuboid",
"quadrangular_prism",
"bell, bell_shape, campana",
"angular_distance",
"true_anomaly",
"spherical_angle",
"angle_of_refraction",
"acute_angle",
"groove, channel",
"rut",
"bulge, bump, hump, swelling, gibbosity, gibbousness, jut, prominence, protuberance, protrusion, extrusion, excrescence",
"belly",
"bow, arc",
"crescent",
"ellipsoid",
"hypotenuse",
"balance, equilibrium, equipoise, counterbalance",
"conformation",
"symmetry, proportion",
"spheroid, ellipsoid_of_revolution",
"spherule",
"toroid",
"column, tower, pillar",
"barrel, drum",
"pipe, tube",
"pellet",
"bolus",
"dewdrop",
"ridge",
"rim",
"taper",
"boundary, edge, bound",
"incisure, incisura",
"notch",
"wrinkle, furrow, crease, crinkle, seam, line",
"dermatoglyphic",
"frown_line",
"line_of_life, life_line, lifeline",
"line_of_heart, heart_line, love_line, mensal_line",
"crevice, cranny, crack, fissure, chap",
"cleft",
"roulette, line_roulette",
"node",
"tree, tree_diagram",
"stemma",
"brachium",
"fork, crotch",
"block, cube",
"ovoid",
"tetrahedron",
"pentahedron",
"hexahedron",
"regular_polyhedron, regular_convex_solid, regular_convex_polyhedron, platonic_body, platonic_solid, ideal_solid",
"polyhedral_angle",
"cube, regular_hexahedron",
"truncated_pyramid",
"truncated_cone",
"tail, tail_end",
"tongue, knife",
"trapezohedron",
"wedge, wedge_shape, cuneus",
"keel",
"place, shoes",
"herpes",
"chlamydia",
"wall",
"micronutrient",
"chyme",
"ragweed_pollen",
"pina_cloth",
"chlorobenzylidenemalononitrile, cs_gas",
"carbon, c, atomic_number_6",
"charcoal, wood_coal",
"rock, stone",
"gravel, crushed_rock",
"aflatoxin",
"alpha-tocopheral",
"leopard",
"bricks_and_mortar",
"lagging",
"hydraulic_cement, portland_cement",
"choline",
"concrete",
"glass_wool",
"soil, dirt",
"high_explosive",
"litter",
"fish_meal",
"greek_fire",
"culture_medium, medium",
"agar, nutrient_agar",
"blood_agar",
"hip_tile, hipped_tile",
"hyacinth, jacinth",
"hydroxide_ion, hydroxyl_ion",
"ice, water_ice",
"inositol",
"linoleum, lino",
"lithia_water",
"lodestone, loadstone",
"pantothenic_acid, pantothen",
"paper",
"papyrus",
"pantile",
"blacktop, blacktopping",
"tarmacadam, tarmac",
"paving, pavement, paving_material",
"plaster",
"poison_gas",
"ridge_tile",
"roughcast",
"sand",
"spackle, spackling_compound",
"render",
"wattle_and_daub",
"stucco",
"tear_gas, teargas, lacrimator, lachrymator",
"toilet_tissue, toilet_paper, bathroom_tissue",
"linseed, flaxseed",
"vitamin",
"fat-soluble_vitamin",
"water-soluble_vitamin",
"vitamin_a, antiophthalmic_factor, axerophthol, a",
"vitamin_a1, retinol",
"vitamin_a2, dehydroretinol",
"b-complex_vitamin, b_complex, vitamin_b_complex, vitamin_b, b_vitamin, b",
"vitamin_b1, thiamine, thiamin, aneurin, antiberiberi_factor",
"vitamin_b12, cobalamin, cyanocobalamin, antipernicious_anemia_factor",
"vitamin_b2, vitamin_g, riboflavin, lactoflavin, ovoflavin, hepatoflavin",
"vitamin_b6, pyridoxine, pyridoxal, pyridoxamine, adermin",
"vitamin_bc, vitamin_m, folate, folic_acid, folacin, pteroylglutamic_acid, pteroylmonoglutamic_acid",
"niacin, nicotinic_acid",
"vitamin_d, calciferol, viosterol, ergocalciferol, cholecalciferol, d",
"vitamin_e, tocopherol, e",
"biotin, vitamin_h",
"vitamin_k, naphthoquinone, antihemorrhagic_factor",
"vitamin_k1, phylloquinone, phytonadione",
"vitamin_k3, menadione",
"vitamin_p, bioflavinoid, citrin",
"vitamin_c, c, ascorbic_acid",
"planking",
"chipboard, hardboard",
"knothole"
] |
ishan-07/bottom-layers-finetuned-eurosat
|
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# bottom-layers-finetuned-eurosat
This model is a fine-tuned version of [google/vit-base-patch16-224-in21k](https://huggingface.co/google/vit-base-patch16-224-in21k) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.1897
- Accuracy: 0.9796
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 5e-05
- train_batch_size: 32
- eval_batch_size: 32
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 128
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 3
### Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 0.4395 | 1.0 | 168 | 0.3521 | 0.9648 |
| 0.3093 | 2.0 | 337 | 0.2165 | 0.9765 |
| 0.2801 | 2.99 | 504 | 0.1897 | 0.9796 |
### Framework versions
- Transformers 4.32.1
- Pytorch 2.0.1+cu118
- Datasets 2.14.4
- Tokenizers 0.13.3
|
[
"annual crop",
"forest",
"herbaceous vegetation",
"highway",
"industrial",
"pasture",
"permanent crop",
"residential",
"river",
"sea or lake"
] |
ishan-07/full-finetuned-eurosat
|
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# full-finetuned-eurosat
This model is a fine-tuned version of [google/vit-base-patch16-224-in21k](https://huggingface.co/google/vit-base-patch16-224-in21k) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.1905
- Accuracy: 0.9817
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 5e-05
- train_batch_size: 32
- eval_batch_size: 32
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 128
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 3
### Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 0.4156 | 1.0 | 168 | 0.3044 | 0.9722 |
| 0.2658 | 2.0 | 337 | 0.1905 | 0.9817 |
| 0.2483 | 2.99 | 504 | 0.1670 | 0.9813 |
### Framework versions
- Transformers 4.32.1
- Pytorch 2.0.1+cu118
- Datasets 2.14.4
- Tokenizers 0.13.3
|
[
"annual crop",
"forest",
"herbaceous vegetation",
"highway",
"industrial",
"pasture",
"permanent crop",
"residential",
"river",
"sea or lake"
] |
ishan-07/final-layer-finetuned-eurosat
|
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# final-layer-finetuned-eurosat
This model is a fine-tuned version of [google/vit-base-patch16-224-in21k](https://huggingface.co/google/vit-base-patch16-224-in21k) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 1.9762
- Accuracy: 0.6761
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 5e-05
- train_batch_size: 32
- eval_batch_size: 32
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 128
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 3
### Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 2.1443 | 1.0 | 168 | 2.1352 | 0.4907 |
| 2.0141 | 2.0 | 337 | 2.0142 | 0.6517 |
| 1.9784 | 2.99 | 504 | 1.9762 | 0.6761 |
### Framework versions
- Transformers 4.32.1
- Pytorch 2.0.1+cu118
- Datasets 2.14.4
- Tokenizers 0.13.3
|
[
"annual crop",
"forest",
"herbaceous vegetation",
"highway",
"industrial",
"pasture",
"permanent crop",
"residential",
"river",
"sea or lake"
] |
HorcruxNo13/beit-base-patch16-224
|
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# beit-base-patch16-224
This model is a fine-tuned version of [microsoft/beit-base-patch16-224](https://huggingface.co/microsoft/beit-base-patch16-224) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.8528
- Accuracy: 0.8268
- Precision: 0.8303
- Recall: 0.8268
- F1 Score: 0.8283
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 5e-05
- train_batch_size: 48
- eval_batch_size: 48
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 192
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 45
### Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | Precision | Recall | F1 Score |
|:-------------:|:-----:|:----:|:---------------:|:--------:|:---------:|:------:|:--------:|
| No log | 0.8 | 2 | 0.6993 | 0.5882 | 0.5390 | 0.5882 | 0.5541 |
| No log | 2.0 | 5 | 0.5971 | 0.6863 | 0.6806 | 0.6863 | 0.6033 |
| No log | 2.8 | 7 | 0.5306 | 0.8039 | 0.8000 | 0.8039 | 0.8006 |
| No log | 4.0 | 10 | 0.4828 | 0.7255 | 0.7229 | 0.7255 | 0.6859 |
| No log | 4.8 | 12 | 0.3812 | 0.7843 | 0.7786 | 0.7843 | 0.7784 |
| 0.5413 | 6.0 | 15 | 0.5268 | 0.7451 | 0.7461 | 0.7451 | 0.7141 |
| 0.5413 | 6.8 | 17 | 0.5349 | 0.7451 | 0.8556 | 0.7451 | 0.7502 |
| 0.5413 | 8.0 | 20 | 0.4120 | 0.8039 | 0.8485 | 0.8039 | 0.7756 |
| 0.5413 | 8.8 | 22 | 0.3156 | 0.8039 | 0.8003 | 0.8039 | 0.7963 |
| 0.5413 | 10.0 | 25 | 0.3217 | 0.8039 | 0.8061 | 0.8039 | 0.7909 |
| 0.5413 | 10.8 | 27 | 0.5161 | 0.7843 | 0.7870 | 0.7843 | 0.7664 |
| 0.0919 | 12.0 | 30 | 0.3677 | 0.8431 | 0.8498 | 0.8431 | 0.8451 |
| 0.0919 | 12.8 | 32 | 0.4631 | 0.8431 | 0.8407 | 0.8431 | 0.8405 |
| 0.0919 | 14.0 | 35 | 0.5001 | 0.8235 | 0.8214 | 0.8235 | 0.8221 |
| 0.0919 | 14.8 | 37 | 0.4489 | 0.8431 | 0.8431 | 0.8431 | 0.8431 |
| 0.0919 | 16.0 | 40 | 0.5892 | 0.7843 | 0.7799 | 0.7843 | 0.7731 |
| 0.0919 | 16.8 | 42 | 0.6579 | 0.7843 | 0.7799 | 0.7843 | 0.7731 |
| 0.006 | 18.0 | 45 | 0.7038 | 0.7843 | 0.7799 | 0.7843 | 0.7731 |
| 0.006 | 18.8 | 47 | 0.5864 | 0.8627 | 0.8737 | 0.8627 | 0.8651 |
| 0.006 | 20.0 | 50 | 0.5488 | 0.8627 | 0.8737 | 0.8627 | 0.8651 |
| 0.006 | 20.8 | 52 | 0.6651 | 0.8039 | 0.8003 | 0.8039 | 0.7963 |
| 0.006 | 22.0 | 55 | 0.6265 | 0.8039 | 0.8000 | 0.8039 | 0.8006 |
| 0.006 | 22.8 | 57 | 0.5229 | 0.8627 | 0.8653 | 0.8627 | 0.8637 |
| 0.0048 | 24.0 | 60 | 0.5421 | 0.8627 | 0.8653 | 0.8627 | 0.8637 |
| 0.0048 | 24.8 | 62 | 0.6335 | 0.8235 | 0.8205 | 0.8235 | 0.8187 |
| 0.0048 | 26.0 | 65 | 1.0379 | 0.8039 | 0.8201 | 0.8039 | 0.7841 |
| 0.0048 | 26.8 | 67 | 0.9758 | 0.8235 | 0.8366 | 0.8235 | 0.8089 |
| 0.0048 | 28.0 | 70 | 0.6117 | 0.8235 | 0.8205 | 0.8235 | 0.8187 |
| 0.0048 | 28.8 | 72 | 0.5403 | 0.8627 | 0.8613 | 0.8627 | 0.8617 |
| 0.0063 | 30.0 | 75 | 0.6469 | 0.8431 | 0.8407 | 0.8431 | 0.8405 |
| 0.0063 | 30.8 | 77 | 0.7014 | 0.8235 | 0.8205 | 0.8235 | 0.8187 |
| 0.0063 | 32.0 | 80 | 0.7514 | 0.8235 | 0.8205 | 0.8235 | 0.8187 |
| 0.0063 | 32.8 | 82 | 0.7771 | 0.8235 | 0.8248 | 0.8235 | 0.8144 |
| 0.0063 | 34.0 | 85 | 0.7599 | 0.8039 | 0.8003 | 0.8039 | 0.7963 |
| 0.0063 | 34.8 | 87 | 0.7554 | 0.8039 | 0.8003 | 0.8039 | 0.7963 |
| 0.0045 | 36.0 | 90 | 0.7308 | 0.8039 | 0.8003 | 0.8039 | 0.7963 |
### Framework versions
- Transformers 4.40.1
- Pytorch 2.2.1+cu121
- Datasets 2.19.0
- Tokenizers 0.19.1
|
[
"absent",
"present"
] |
HorcruxNo13/bit-50
|
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# bit-50
This model is a fine-tuned version of [google/bit-50](https://huggingface.co/google/bit-50) on the imagefolder dataset.
It achieves the following results on the evaluation set:
- Loss: 0.5768
- Accuracy: 0.73
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 5e-05
- train_batch_size: 32
- eval_batch_size: 32
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 128
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 3
### Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| No log | 1.0 | 8 | 0.8910 | 0.3625 |
| 4.9941 | 2.0 | 16 | 0.5701 | 0.7333 |
| 0.6029 | 3.0 | 24 | 0.5637 | 0.7333 |
### Framework versions
- Transformers 4.32.1
- Pytorch 2.0.1+cu118
- Datasets 2.14.4
- Tokenizers 0.13.3
|
[
"tench, tinca tinca",
"goldfish, carassius auratus",
"great white shark, white shark, man-eater, man-eating shark, carcharodon carcharias",
"tiger shark, galeocerdo cuvieri",
"hammerhead, hammerhead shark",
"electric ray, crampfish, numbfish, torpedo",
"stingray",
"cock",
"hen",
"ostrich, struthio camelus",
"brambling, fringilla montifringilla",
"goldfinch, carduelis carduelis",
"house finch, linnet, carpodacus mexicanus",
"junco, snowbird",
"indigo bunting, indigo finch, indigo bird, passerina cyanea",
"robin, american robin, turdus migratorius",
"bulbul",
"jay",
"magpie",
"chickadee",
"water ouzel, dipper",
"kite",
"bald eagle, american eagle, haliaeetus leucocephalus",
"vulture",
"great grey owl, great gray owl, strix nebulosa",
"european fire salamander, salamandra salamandra",
"common newt, triturus vulgaris",
"eft",
"spotted salamander, ambystoma maculatum",
"axolotl, mud puppy, ambystoma mexicanum",
"bullfrog, rana catesbeiana",
"tree frog, tree-frog",
"tailed frog, bell toad, ribbed toad, tailed toad, ascaphus trui",
"loggerhead, loggerhead turtle, caretta caretta",
"leatherback turtle, leatherback, leathery turtle, dermochelys coriacea",
"mud turtle",
"terrapin",
"box turtle, box tortoise",
"banded gecko",
"common iguana, iguana, iguana iguana",
"american chameleon, anole, anolis carolinensis",
"whiptail, whiptail lizard",
"agama",
"frilled lizard, chlamydosaurus kingi",
"alligator lizard",
"gila monster, heloderma suspectum",
"green lizard, lacerta viridis",
"african chameleon, chamaeleo chamaeleon",
"komodo dragon, komodo lizard, dragon lizard, giant lizard, varanus komodoensis",
"african crocodile, nile crocodile, crocodylus niloticus",
"american alligator, alligator mississipiensis",
"triceratops",
"thunder snake, worm snake, carphophis amoenus",
"ringneck snake, ring-necked snake, ring snake",
"hognose snake, puff adder, sand viper",
"green snake, grass snake",
"king snake, kingsnake",
"garter snake, grass snake",
"water snake",
"vine snake",
"night snake, hypsiglena torquata",
"boa constrictor, constrictor constrictor",
"rock python, rock snake, python sebae",
"indian cobra, naja naja",
"green mamba",
"sea snake",
"horned viper, cerastes, sand viper, horned asp, cerastes cornutus",
"diamondback, diamondback rattlesnake, crotalus adamanteus",
"sidewinder, horned rattlesnake, crotalus cerastes",
"trilobite",
"harvestman, daddy longlegs, phalangium opilio",
"scorpion",
"black and gold garden spider, argiope aurantia",
"barn spider, araneus cavaticus",
"garden spider, aranea diademata",
"black widow, latrodectus mactans",
"tarantula",
"wolf spider, hunting spider",
"tick",
"centipede",
"black grouse",
"ptarmigan",
"ruffed grouse, partridge, bonasa umbellus",
"prairie chicken, prairie grouse, prairie fowl",
"peacock",
"quail",
"partridge",
"african grey, african gray, psittacus erithacus",
"macaw",
"sulphur-crested cockatoo, kakatoe galerita, cacatua galerita",
"lorikeet",
"coucal",
"bee eater",
"hornbill",
"hummingbird",
"jacamar",
"toucan",
"drake",
"red-breasted merganser, mergus serrator",
"goose",
"black swan, cygnus atratus",
"tusker",
"echidna, spiny anteater, anteater",
"platypus, duckbill, duckbilled platypus, duck-billed platypus, ornithorhynchus anatinus",
"wallaby, brush kangaroo",
"koala, koala bear, kangaroo bear, native bear, phascolarctos cinereus",
"wombat",
"jellyfish",
"sea anemone, anemone",
"brain coral",
"flatworm, platyhelminth",
"nematode, nematode worm, roundworm",
"conch",
"snail",
"slug",
"sea slug, nudibranch",
"chiton, coat-of-mail shell, sea cradle, polyplacophore",
"chambered nautilus, pearly nautilus, nautilus",
"dungeness crab, cancer magister",
"rock crab, cancer irroratus",
"fiddler crab",
"king crab, alaska crab, alaskan king crab, alaska king crab, paralithodes camtschatica",
"american lobster, northern lobster, maine lobster, homarus americanus",
"spiny lobster, langouste, rock lobster, crawfish, crayfish, sea crawfish",
"crayfish, crawfish, crawdad, crawdaddy",
"hermit crab",
"isopod",
"white stork, ciconia ciconia",
"black stork, ciconia nigra",
"spoonbill",
"flamingo",
"little blue heron, egretta caerulea",
"american egret, great white heron, egretta albus",
"bittern",
"crane",
"limpkin, aramus pictus",
"european gallinule, porphyrio porphyrio",
"american coot, marsh hen, mud hen, water hen, fulica americana",
"bustard",
"ruddy turnstone, arenaria interpres",
"red-backed sandpiper, dunlin, erolia alpina",
"redshank, tringa totanus",
"dowitcher",
"oystercatcher, oyster catcher",
"pelican",
"king penguin, aptenodytes patagonica",
"albatross, mollymawk",
"grey whale, gray whale, devilfish, eschrichtius gibbosus, eschrichtius robustus",
"killer whale, killer, orca, grampus, sea wolf, orcinus orca",
"dugong, dugong dugon",
"sea lion",
"chihuahua",
"japanese spaniel",
"maltese dog, maltese terrier, maltese",
"pekinese, pekingese, peke",
"shih-tzu",
"blenheim spaniel",
"papillon",
"toy terrier",
"rhodesian ridgeback",
"afghan hound, afghan",
"basset, basset hound",
"beagle",
"bloodhound, sleuthhound",
"bluetick",
"black-and-tan coonhound",
"walker hound, walker foxhound",
"english foxhound",
"redbone",
"borzoi, russian wolfhound",
"irish wolfhound",
"italian greyhound",
"whippet",
"ibizan hound, ibizan podenco",
"norwegian elkhound, elkhound",
"otterhound, otter hound",
"saluki, gazelle hound",
"scottish deerhound, deerhound",
"weimaraner",
"staffordshire bullterrier, staffordshire bull terrier",
"american staffordshire terrier, staffordshire terrier, american pit bull terrier, pit bull terrier",
"bedlington terrier",
"border terrier",
"kerry blue terrier",
"irish terrier",
"norfolk terrier",
"norwich terrier",
"yorkshire terrier",
"wire-haired fox terrier",
"lakeland terrier",
"sealyham terrier, sealyham",
"airedale, airedale terrier",
"cairn, cairn terrier",
"australian terrier",
"dandie dinmont, dandie dinmont terrier",
"boston bull, boston terrier",
"miniature schnauzer",
"giant schnauzer",
"standard schnauzer",
"scotch terrier, scottish terrier, scottie",
"tibetan terrier, chrysanthemum dog",
"silky terrier, sydney silky",
"soft-coated wheaten terrier",
"west highland white terrier",
"lhasa, lhasa apso",
"flat-coated retriever",
"curly-coated retriever",
"golden retriever",
"labrador retriever",
"chesapeake bay retriever",
"german short-haired pointer",
"vizsla, hungarian pointer",
"english setter",
"irish setter, red setter",
"gordon setter",
"brittany spaniel",
"clumber, clumber spaniel",
"english springer, english springer spaniel",
"welsh springer spaniel",
"cocker spaniel, english cocker spaniel, cocker",
"sussex spaniel",
"irish water spaniel",
"kuvasz",
"schipperke",
"groenendael",
"malinois",
"briard",
"kelpie",
"komondor",
"old english sheepdog, bobtail",
"shetland sheepdog, shetland sheep dog, shetland",
"collie",
"border collie",
"bouvier des flandres, bouviers des flandres",
"rottweiler",
"german shepherd, german shepherd dog, german police dog, alsatian",
"doberman, doberman pinscher",
"miniature pinscher",
"greater swiss mountain dog",
"bernese mountain dog",
"appenzeller",
"entlebucher",
"boxer",
"bull mastiff",
"tibetan mastiff",
"french bulldog",
"great dane",
"saint bernard, st bernard",
"eskimo dog, husky",
"malamute, malemute, alaskan malamute",
"siberian husky",
"dalmatian, coach dog, carriage dog",
"affenpinscher, monkey pinscher, monkey dog",
"basenji",
"pug, pug-dog",
"leonberg",
"newfoundland, newfoundland dog",
"great pyrenees",
"samoyed, samoyede",
"pomeranian",
"chow, chow chow",
"keeshond",
"brabancon griffon",
"pembroke, pembroke welsh corgi",
"cardigan, cardigan welsh corgi",
"toy poodle",
"miniature poodle",
"standard poodle",
"mexican hairless",
"timber wolf, grey wolf, gray wolf, canis lupus",
"white wolf, arctic wolf, canis lupus tundrarum",
"red wolf, maned wolf, canis rufus, canis niger",
"coyote, prairie wolf, brush wolf, canis latrans",
"dingo, warrigal, warragal, canis dingo",
"dhole, cuon alpinus",
"african hunting dog, hyena dog, cape hunting dog, lycaon pictus",
"hyena, hyaena",
"red fox, vulpes vulpes",
"kit fox, vulpes macrotis",
"arctic fox, white fox, alopex lagopus",
"grey fox, gray fox, urocyon cinereoargenteus",
"tabby, tabby cat",
"tiger cat",
"persian cat",
"siamese cat, siamese",
"egyptian cat",
"cougar, puma, catamount, mountain lion, painter, panther, felis concolor",
"lynx, catamount",
"leopard, panthera pardus",
"snow leopard, ounce, panthera uncia",
"jaguar, panther, panthera onca, felis onca",
"lion, king of beasts, panthera leo",
"tiger, panthera tigris",
"cheetah, chetah, acinonyx jubatus",
"brown bear, bruin, ursus arctos",
"american black bear, black bear, ursus americanus, euarctos americanus",
"ice bear, polar bear, ursus maritimus, thalarctos maritimus",
"sloth bear, melursus ursinus, ursus ursinus",
"mongoose",
"meerkat, mierkat",
"tiger beetle",
"ladybug, ladybeetle, lady beetle, ladybird, ladybird beetle",
"ground beetle, carabid beetle",
"long-horned beetle, longicorn, longicorn beetle",
"leaf beetle, chrysomelid",
"dung beetle",
"rhinoceros beetle",
"weevil",
"fly",
"bee",
"ant, emmet, pismire",
"grasshopper, hopper",
"cricket",
"walking stick, walkingstick, stick insect",
"cockroach, roach",
"mantis, mantid",
"cicada, cicala",
"leafhopper",
"lacewing, lacewing fly",
"dragonfly, darning needle, devil's darning needle, sewing needle, snake feeder, snake doctor, mosquito hawk, skeeter hawk",
"damselfly",
"admiral",
"ringlet, ringlet butterfly",
"monarch, monarch butterfly, milkweed butterfly, danaus plexippus",
"cabbage butterfly",
"sulphur butterfly, sulfur butterfly",
"lycaenid, lycaenid butterfly",
"starfish, sea star",
"sea urchin",
"sea cucumber, holothurian",
"wood rabbit, cottontail, cottontail rabbit",
"hare",
"angora, angora rabbit",
"hamster",
"porcupine, hedgehog",
"fox squirrel, eastern fox squirrel, sciurus niger",
"marmot",
"beaver",
"guinea pig, cavia cobaya",
"sorrel",
"zebra",
"hog, pig, grunter, squealer, sus scrofa",
"wild boar, boar, sus scrofa",
"warthog",
"hippopotamus, hippo, river horse, hippopotamus amphibius",
"ox",
"water buffalo, water ox, asiatic buffalo, bubalus bubalis",
"bison",
"ram, tup",
"bighorn, bighorn sheep, cimarron, rocky mountain bighorn, rocky mountain sheep, ovis canadensis",
"ibex, capra ibex",
"hartebeest",
"impala, aepyceros melampus",
"gazelle",
"arabian camel, dromedary, camelus dromedarius",
"llama",
"weasel",
"mink",
"polecat, fitch, foulmart, foumart, mustela putorius",
"black-footed ferret, ferret, mustela nigripes",
"otter",
"skunk, polecat, wood pussy",
"badger",
"armadillo",
"three-toed sloth, ai, bradypus tridactylus",
"orangutan, orang, orangutang, pongo pygmaeus",
"gorilla, gorilla gorilla",
"chimpanzee, chimp, pan troglodytes",
"gibbon, hylobates lar",
"siamang, hylobates syndactylus, symphalangus syndactylus",
"guenon, guenon monkey",
"patas, hussar monkey, erythrocebus patas",
"baboon",
"macaque",
"langur",
"colobus, colobus monkey",
"proboscis monkey, nasalis larvatus",
"marmoset",
"capuchin, ringtail, cebus capucinus",
"howler monkey, howler",
"titi, titi monkey",
"spider monkey, ateles geoffroyi",
"squirrel monkey, saimiri sciureus",
"madagascar cat, ring-tailed lemur, lemur catta",
"indri, indris, indri indri, indri brevicaudatus",
"indian elephant, elephas maximus",
"african elephant, loxodonta africana",
"lesser panda, red panda, panda, bear cat, cat bear, ailurus fulgens",
"giant panda, panda, panda bear, coon bear, ailuropoda melanoleuca",
"barracouta, snoek",
"eel",
"coho, cohoe, coho salmon, blue jack, silver salmon, oncorhynchus kisutch",
"rock beauty, holocanthus tricolor",
"anemone fish",
"sturgeon",
"gar, garfish, garpike, billfish, lepisosteus osseus",
"lionfish",
"puffer, pufferfish, blowfish, globefish",
"abacus",
"abaya",
"academic gown, academic robe, judge's robe",
"accordion, piano accordion, squeeze box",
"acoustic guitar",
"aircraft carrier, carrier, flattop, attack aircraft carrier",
"airliner",
"airship, dirigible",
"altar",
"ambulance",
"amphibian, amphibious vehicle",
"analog clock",
"apiary, bee house",
"apron",
"ashcan, trash can, garbage can, wastebin, ash bin, ash-bin, ashbin, dustbin, trash barrel, trash bin",
"assault rifle, assault gun",
"backpack, back pack, knapsack, packsack, rucksack, haversack",
"bakery, bakeshop, bakehouse",
"balance beam, beam",
"balloon",
"ballpoint, ballpoint pen, ballpen, biro",
"band aid",
"banjo",
"bannister, banister, balustrade, balusters, handrail",
"barbell",
"barber chair",
"barbershop",
"barn",
"barometer",
"barrel, cask",
"barrow, garden cart, lawn cart, wheelbarrow",
"baseball",
"basketball",
"bassinet",
"bassoon",
"bathing cap, swimming cap",
"bath towel",
"bathtub, bathing tub, bath, tub",
"beach wagon, station wagon, wagon, estate car, beach waggon, station waggon, waggon",
"beacon, lighthouse, beacon light, pharos",
"beaker",
"bearskin, busby, shako",
"beer bottle",
"beer glass",
"bell cote, bell cot",
"bib",
"bicycle-built-for-two, tandem bicycle, tandem",
"bikini, two-piece",
"binder, ring-binder",
"binoculars, field glasses, opera glasses",
"birdhouse",
"boathouse",
"bobsled, bobsleigh, bob",
"bolo tie, bolo, bola tie, bola",
"bonnet, poke bonnet",
"bookcase",
"bookshop, bookstore, bookstall",
"bottlecap",
"bow",
"bow tie, bow-tie, bowtie",
"brass, memorial tablet, plaque",
"brassiere, bra, bandeau",
"breakwater, groin, groyne, mole, bulwark, seawall, jetty",
"breastplate, aegis, egis",
"broom",
"bucket, pail",
"buckle",
"bulletproof vest",
"bullet train, bullet",
"butcher shop, meat market",
"cab, hack, taxi, taxicab",
"caldron, cauldron",
"candle, taper, wax light",
"cannon",
"canoe",
"can opener, tin opener",
"cardigan",
"car mirror",
"carousel, carrousel, merry-go-round, roundabout, whirligig",
"carpenter's kit, tool kit",
"carton",
"car wheel",
"cash machine, cash dispenser, automated teller machine, automatic teller machine, automated teller, automatic teller, atm",
"cassette",
"cassette player",
"castle",
"catamaran",
"cd player",
"cello, violoncello",
"cellular telephone, cellular phone, cellphone, cell, mobile phone",
"chain",
"chainlink fence",
"chain mail, ring mail, mail, chain armor, chain armour, ring armor, ring armour",
"chain saw, chainsaw",
"chest",
"chiffonier, commode",
"chime, bell, gong",
"china cabinet, china closet",
"christmas stocking",
"church, church building",
"cinema, movie theater, movie theatre, movie house, picture palace",
"cleaver, meat cleaver, chopper",
"cliff dwelling",
"cloak",
"clog, geta, patten, sabot",
"cocktail shaker",
"coffee mug",
"coffeepot",
"coil, spiral, volute, whorl, helix",
"combination lock",
"computer keyboard, keypad",
"confectionery, confectionary, candy store",
"container ship, containership, container vessel",
"convertible",
"corkscrew, bottle screw",
"cornet, horn, trumpet, trump",
"cowboy boot",
"cowboy hat, ten-gallon hat",
"cradle",
"crane",
"crash helmet",
"crate",
"crib, cot",
"crock pot",
"croquet ball",
"crutch",
"cuirass",
"dam, dike, dyke",
"desk",
"desktop computer",
"dial telephone, dial phone",
"diaper, nappy, napkin",
"digital clock",
"digital watch",
"dining table, board",
"dishrag, dishcloth",
"dishwasher, dish washer, dishwashing machine",
"disk brake, disc brake",
"dock, dockage, docking facility",
"dogsled, dog sled, dog sleigh",
"dome",
"doormat, welcome mat",
"drilling platform, offshore rig",
"drum, membranophone, tympan",
"drumstick",
"dumbbell",
"dutch oven",
"electric fan, blower",
"electric guitar",
"electric locomotive",
"entertainment center",
"envelope",
"espresso maker",
"face powder",
"feather boa, boa",
"file, file cabinet, filing cabinet",
"fireboat",
"fire engine, fire truck",
"fire screen, fireguard",
"flagpole, flagstaff",
"flute, transverse flute",
"folding chair",
"football helmet",
"forklift",
"fountain",
"fountain pen",
"four-poster",
"freight car",
"french horn, horn",
"frying pan, frypan, skillet",
"fur coat",
"garbage truck, dustcart",
"gasmask, respirator, gas helmet",
"gas pump, gasoline pump, petrol pump, island dispenser",
"goblet",
"go-kart",
"golf ball",
"golfcart, golf cart",
"gondola",
"gong, tam-tam",
"gown",
"grand piano, grand",
"greenhouse, nursery, glasshouse",
"grille, radiator grille",
"grocery store, grocery, food market, market",
"guillotine",
"hair slide",
"hair spray",
"half track",
"hammer",
"hamper",
"hand blower, blow dryer, blow drier, hair dryer, hair drier",
"hand-held computer, hand-held microcomputer",
"handkerchief, hankie, hanky, hankey",
"hard disc, hard disk, fixed disk",
"harmonica, mouth organ, harp, mouth harp",
"harp",
"harvester, reaper",
"hatchet",
"holster",
"home theater, home theatre",
"honeycomb",
"hook, claw",
"hoopskirt, crinoline",
"horizontal bar, high bar",
"horse cart, horse-cart",
"hourglass",
"ipod",
"iron, smoothing iron",
"jack-o'-lantern",
"jean, blue jean, denim",
"jeep, landrover",
"jersey, t-shirt, tee shirt",
"jigsaw puzzle",
"jinrikisha, ricksha, rickshaw",
"joystick",
"kimono",
"knee pad",
"knot",
"lab coat, laboratory coat",
"ladle",
"lampshade, lamp shade",
"laptop, laptop computer",
"lawn mower, mower",
"lens cap, lens cover",
"letter opener, paper knife, paperknife",
"library",
"lifeboat",
"lighter, light, igniter, ignitor",
"limousine, limo",
"liner, ocean liner",
"lipstick, lip rouge",
"loafer",
"lotion",
"loudspeaker, speaker, speaker unit, loudspeaker system, speaker system",
"loupe, jeweler's loupe",
"lumbermill, sawmill",
"magnetic compass",
"mailbag, postbag",
"mailbox, letter box",
"maillot",
"maillot, tank suit",
"manhole cover",
"maraca",
"marimba, xylophone",
"mask",
"matchstick",
"maypole",
"maze, labyrinth",
"measuring cup",
"medicine chest, medicine cabinet",
"megalith, megalithic structure",
"microphone, mike",
"microwave, microwave oven",
"military uniform",
"milk can",
"minibus",
"miniskirt, mini",
"minivan",
"missile",
"mitten",
"mixing bowl",
"mobile home, manufactured home",
"model t",
"modem",
"monastery",
"monitor",
"moped",
"mortar",
"mortarboard",
"mosque",
"mosquito net",
"motor scooter, scooter",
"mountain bike, all-terrain bike, off-roader",
"mountain tent",
"mouse, computer mouse",
"mousetrap",
"moving van",
"muzzle",
"nail",
"neck brace",
"necklace",
"nipple",
"notebook, notebook computer",
"obelisk",
"oboe, hautboy, hautbois",
"ocarina, sweet potato",
"odometer, hodometer, mileometer, milometer",
"oil filter",
"organ, pipe organ",
"oscilloscope, scope, cathode-ray oscilloscope, cro",
"overskirt",
"oxcart",
"oxygen mask",
"packet",
"paddle, boat paddle",
"paddlewheel, paddle wheel",
"padlock",
"paintbrush",
"pajama, pyjama, pj's, jammies",
"palace",
"panpipe, pandean pipe, syrinx",
"paper towel",
"parachute, chute",
"parallel bars, bars",
"park bench",
"parking meter",
"passenger car, coach, carriage",
"patio, terrace",
"pay-phone, pay-station",
"pedestal, plinth, footstall",
"pencil box, pencil case",
"pencil sharpener",
"perfume, essence",
"petri dish",
"photocopier",
"pick, plectrum, plectron",
"pickelhaube",
"picket fence, paling",
"pickup, pickup truck",
"pier",
"piggy bank, penny bank",
"pill bottle",
"pillow",
"ping-pong ball",
"pinwheel",
"pirate, pirate ship",
"pitcher, ewer",
"plane, carpenter's plane, woodworking plane",
"planetarium",
"plastic bag",
"plate rack",
"plow, plough",
"plunger, plumber's helper",
"polaroid camera, polaroid land camera",
"pole",
"police van, police wagon, paddy wagon, patrol wagon, wagon, black maria",
"poncho",
"pool table, billiard table, snooker table",
"pop bottle, soda bottle",
"pot, flowerpot",
"potter's wheel",
"power drill",
"prayer rug, prayer mat",
"printer",
"prison, prison house",
"projectile, missile",
"projector",
"puck, hockey puck",
"punching bag, punch bag, punching ball, punchball",
"purse",
"quill, quill pen",
"quilt, comforter, comfort, puff",
"racer, race car, racing car",
"racket, racquet",
"radiator",
"radio, wireless",
"radio telescope, radio reflector",
"rain barrel",
"recreational vehicle, rv, r.v.",
"reel",
"reflex camera",
"refrigerator, icebox",
"remote control, remote",
"restaurant, eating house, eating place, eatery",
"revolver, six-gun, six-shooter",
"rifle",
"rocking chair, rocker",
"rotisserie",
"rubber eraser, rubber, pencil eraser",
"rugby ball",
"rule, ruler",
"running shoe",
"safe",
"safety pin",
"saltshaker, salt shaker",
"sandal",
"sarong",
"sax, saxophone",
"scabbard",
"scale, weighing machine",
"school bus",
"schooner",
"scoreboard",
"screen, crt screen",
"screw",
"screwdriver",
"seat belt, seatbelt",
"sewing machine",
"shield, buckler",
"shoe shop, shoe-shop, shoe store",
"shoji",
"shopping basket",
"shopping cart",
"shovel",
"shower cap",
"shower curtain",
"ski",
"ski mask",
"sleeping bag",
"slide rule, slipstick",
"sliding door",
"slot, one-armed bandit",
"snorkel",
"snowmobile",
"snowplow, snowplough",
"soap dispenser",
"soccer ball",
"sock",
"solar dish, solar collector, solar furnace",
"sombrero",
"soup bowl",
"space bar",
"space heater",
"space shuttle",
"spatula",
"speedboat",
"spider web, spider's web",
"spindle",
"sports car, sport car",
"spotlight, spot",
"stage",
"steam locomotive",
"steel arch bridge",
"steel drum",
"stethoscope",
"stole",
"stone wall",
"stopwatch, stop watch",
"stove",
"strainer",
"streetcar, tram, tramcar, trolley, trolley car",
"stretcher",
"studio couch, day bed",
"stupa, tope",
"submarine, pigboat, sub, u-boat",
"suit, suit of clothes",
"sundial",
"sunglass",
"sunglasses, dark glasses, shades",
"sunscreen, sunblock, sun blocker",
"suspension bridge",
"swab, swob, mop",
"sweatshirt",
"swimming trunks, bathing trunks",
"swing",
"switch, electric switch, electrical switch",
"syringe",
"table lamp",
"tank, army tank, armored combat vehicle, armoured combat vehicle",
"tape player",
"teapot",
"teddy, teddy bear",
"television, television system",
"tennis ball",
"thatch, thatched roof",
"theater curtain, theatre curtain",
"thimble",
"thresher, thrasher, threshing machine",
"throne",
"tile roof",
"toaster",
"tobacco shop, tobacconist shop, tobacconist",
"toilet seat",
"torch",
"totem pole",
"tow truck, tow car, wrecker",
"toyshop",
"tractor",
"trailer truck, tractor trailer, trucking rig, rig, articulated lorry, semi",
"tray",
"trench coat",
"tricycle, trike, velocipede",
"trimaran",
"tripod",
"triumphal arch",
"trolleybus, trolley coach, trackless trolley",
"trombone",
"tub, vat",
"turnstile",
"typewriter keyboard",
"umbrella",
"unicycle, monocycle",
"upright, upright piano",
"vacuum, vacuum cleaner",
"vase",
"vault",
"velvet",
"vending machine",
"vestment",
"viaduct",
"violin, fiddle",
"volleyball",
"waffle iron",
"wall clock",
"wallet, billfold, notecase, pocketbook",
"wardrobe, closet, press",
"warplane, military plane",
"washbasin, handbasin, washbowl, lavabo, wash-hand basin",
"washer, automatic washer, washing machine",
"water bottle",
"water jug",
"water tower",
"whiskey jug",
"whistle",
"wig",
"window screen",
"window shade",
"windsor tie",
"wine bottle",
"wing",
"wok",
"wooden spoon",
"wool, woolen, woollen",
"worm fence, snake fence, snake-rail fence, virginia fence",
"wreck",
"yawl",
"yurt",
"web site, website, internet site, site",
"comic book",
"crossword puzzle, crossword",
"street sign",
"traffic light, traffic signal, stoplight",
"book jacket, dust cover, dust jacket, dust wrapper",
"menu",
"plate",
"guacamole",
"consomme",
"hot pot, hotpot",
"trifle",
"ice cream, icecream",
"ice lolly, lolly, lollipop, popsicle",
"french loaf",
"bagel, beigel",
"pretzel",
"cheeseburger",
"hotdog, hot dog, red hot",
"mashed potato",
"head cabbage",
"broccoli",
"cauliflower",
"zucchini, courgette",
"spaghetti squash",
"acorn squash",
"butternut squash",
"cucumber, cuke",
"artichoke, globe artichoke",
"bell pepper",
"cardoon",
"mushroom",
"granny smith",
"strawberry",
"orange",
"lemon",
"fig",
"pineapple, ananas",
"banana",
"jackfruit, jak, jack",
"custard apple",
"pomegranate",
"hay",
"carbonara",
"chocolate sauce, chocolate syrup",
"dough",
"meat loaf, meatloaf",
"pizza, pizza pie",
"potpie",
"burrito",
"red wine",
"espresso",
"cup",
"eggnog",
"alp",
"bubble",
"cliff, drop, drop-off",
"coral reef",
"geyser",
"lakeside, lakeshore",
"promontory, headland, head, foreland",
"sandbar, sand bar",
"seashore, coast, seacoast, sea-coast",
"valley, vale",
"volcano",
"ballplayer, baseball player",
"groom, bridegroom",
"scuba diver",
"rapeseed",
"daisy",
"yellow lady's slipper, yellow lady-slipper, cypripedium calceolus, cypripedium parviflorum",
"corn",
"acorn",
"hip, rose hip, rosehip",
"buckeye, horse chestnut, conker",
"coral fungus",
"agaric",
"gyromitra",
"stinkhorn, carrion fungus",
"earthstar",
"hen-of-the-woods, hen of the woods, polyporus frondosus, grifola frondosa",
"bolete",
"ear, spike, capitulum",
"toilet tissue, toilet paper, bathroom tissue"
] |
dima806/butterfly_moth_species_detection
|
See https://www.kaggle.com/code/dima806/butterfly-moth-species-image-detection-vit for details.
|
[
"white lined sphinx moth",
"elbowed pierrot",
"bird cherry ermine moth",
"cabbage white",
"red postman",
"appollo",
"orange tip",
"comet moth",
"african giant swallowtail",
"pipevine swallow",
"blue spotted crow",
"popinjay",
"great eggfly",
"paper kite",
"sleepy orange",
"danaid eggfly",
"sootywing",
"emperor gum moth",
"mangrove skipper",
"adonis",
"crimson patch",
"atala",
"luna moth",
"orchard swallow",
"mourning cloak",
"zebra long wing",
"julia",
"chestnut",
"humming bird hawk moth",
"common wood-nymph",
"atlas moth",
"great jay",
"brookes birdwing",
"banded peacock",
"ulyses",
"straited queen",
"glittering sapphire",
"copper tail",
"banded tiger moth",
"brown siproeta",
"large marble",
"crecent",
"green hairstreak",
"cleopatra",
"purple hairstreak",
"oleander hawk moth",
"red spotted purple",
"arcigera flower moth",
"checquered skipper",
"an 88",
"painted lady",
"red admiral",
"indra swallow",
"iphiclus sister",
"tropical leafwing",
"eastern pine elfin",
"metalmark",
"eastern coma",
"grey hairstreak",
"question mark",
"beckers white",
"silver spot skipper",
"southern dogface",
"two barred flasher",
"clouded sulphur",
"yellow swallow tail",
"red cracker",
"cinnabar moth",
"madagascan sunset moth",
"chalk hill blue",
"mestra",
"hercules moth",
"viceroy",
"giant leopard moth",
"monarch",
"scarce swallow",
"common banded awl",
"garden tiger moth",
"purplish copper",
"wood satyr",
"malachite",
"cairns birdwing",
"brown argus",
"rosy maple moth",
"american snoot",
"pine white",
"eastern dapple white",
"sixspot burnet moth",
"peacock",
"clearwing moth",
"clodius parnassian",
"banded orange heliconian",
"black hairstreak",
"gold banded",
"polyphemus moth",
"orange oakleaf",
"green celled cattleheart",
"milberts tortoiseshell",
"io moth",
"blue morpho"
] |
jjluo/my_awesome_food_model
|
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# my_awesome_food_model
This model is a fine-tuned version of [google/vit-base-patch16-224-in21k](https://huggingface.co/google/vit-base-patch16-224-in21k) on the food101 dataset.
It achieves the following results on the evaluation set:
- Loss: 1.6222
- Accuracy: 0.908
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 5e-05
- train_batch_size: 16
- eval_batch_size: 16
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 64
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 3
### Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 2.7507 | 0.99 | 62 | 2.5634 | 0.831 |
| 1.8341 | 2.0 | 125 | 1.7980 | 0.87 |
| 1.6407 | 2.98 | 186 | 1.6222 | 0.908 |
### Framework versions
- Transformers 4.32.1
- Pytorch 2.0.1+cu118
- Datasets 2.14.4
- Tokenizers 0.13.3
|
[
"apple_pie",
"baby_back_ribs",
"bruschetta",
"waffles",
"caesar_salad",
"cannoli",
"caprese_salad",
"carrot_cake",
"ceviche",
"cheesecake",
"cheese_plate",
"chicken_curry",
"chicken_quesadilla",
"baklava",
"chicken_wings",
"chocolate_cake",
"chocolate_mousse",
"churros",
"clam_chowder",
"club_sandwich",
"crab_cakes",
"creme_brulee",
"croque_madame",
"cup_cakes",
"beef_carpaccio",
"deviled_eggs",
"donuts",
"dumplings",
"edamame",
"eggs_benedict",
"escargots",
"falafel",
"filet_mignon",
"fish_and_chips",
"foie_gras",
"beef_tartare",
"french_fries",
"french_onion_soup",
"french_toast",
"fried_calamari",
"fried_rice",
"frozen_yogurt",
"garlic_bread",
"gnocchi",
"greek_salad",
"grilled_cheese_sandwich",
"beet_salad",
"grilled_salmon",
"guacamole",
"gyoza",
"hamburger",
"hot_and_sour_soup",
"hot_dog",
"huevos_rancheros",
"hummus",
"ice_cream",
"lasagna",
"beignets",
"lobster_bisque",
"lobster_roll_sandwich",
"macaroni_and_cheese",
"macarons",
"miso_soup",
"mussels",
"nachos",
"omelette",
"onion_rings",
"oysters",
"bibimbap",
"pad_thai",
"paella",
"pancakes",
"panna_cotta",
"peking_duck",
"pho",
"pizza",
"pork_chop",
"poutine",
"prime_rib",
"bread_pudding",
"pulled_pork_sandwich",
"ramen",
"ravioli",
"red_velvet_cake",
"risotto",
"samosa",
"sashimi",
"scallops",
"seaweed_salad",
"shrimp_and_grits",
"breakfast_burrito",
"spaghetti_bolognese",
"spaghetti_carbonara",
"spring_rolls",
"steak",
"strawberry_shortcake",
"sushi",
"tacos",
"takoyaki",
"tiramisu",
"tuna_tartare"
] |
jjluo/my_awesome_museum_model
|
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# my_awesome_museum_model
This model is a fine-tuned version of [google/vit-base-patch16-224-in21k](https://huggingface.co/google/vit-base-patch16-224-in21k) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.3352
- Accuracy: 1.0
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 5e-05
- train_batch_size: 16
- eval_batch_size: 16
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 64
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 3
### Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| No log | 0.97 | 9 | 0.6541 | 0.9931 |
| 0.9047 | 1.95 | 18 | 0.4186 | 0.9931 |
| 0.4833 | 2.92 | 27 | 0.3352 | 1.0 |
### Framework versions
- Transformers 4.32.1
- Pytorch 2.0.1+cu118
- Datasets 2.14.4
- Tokenizers 0.13.3
|
[
"zhujiulunyingxiong",
"wangqichuxian",
"jiangjinghuaxiangzhuan",
"chibizhizhanchangjing",
"hanmumuzhuan",
"baidituogu",
"yaoqianshu",
"明良千古景点明细.xlsx",
"zhibaiwuzhuqian",
"tongwuzhuqiandiezhujian",
"shuochangyong",
"sangumaoluyulongzhongduicechangjing",
"longzhonggengdu",
"liubeirushu",
"liubeizhishumingwendizhuan",
"liubeichengdi"
] |
sublimina/vit-base-patch16-224-finetuned-flower
|
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# vit-base-patch16-224-finetuned-flower
This model is a fine-tuned version of [google/vit-base-patch16-224](https://huggingface.co/google/vit-base-patch16-224) on the imagefolder dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 5e-05
- train_batch_size: 32
- eval_batch_size: 32
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 5
### Training results
### Framework versions
- Transformers 4.24.0
- Pytorch 2.0.1+cu118
- Datasets 2.7.1
- Tokenizers 0.13.3
|
[
"daisy",
"dandelion",
"roses",
"sunflowers",
"tulips"
] |
AshutoshD245/food_classifier
|
<!-- This model card has been generated automatically according to the information Keras had access to. You should
probably proofread and complete it, then remove this comment. -->
# AshutoshD245/food_classifier
This model is a fine-tuned version of [google/vit-base-patch16-224-in21k](https://huggingface.co/google/vit-base-patch16-224-in21k) on an unknown dataset.
It achieves the following results on the evaluation set:
- Train Loss: 0.3889
- Validation Loss: 0.3585
- Train Accuracy: 0.914
- Epoch: 4
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Training hyperparameters
The following hyperparameters were used during training:
- optimizer: {'name': 'AdamWeightDecay', 'learning_rate': {'class_name': 'PolynomialDecay', 'config': {'initial_learning_rate': 3e-05, 'decay_steps': 20000, 'end_learning_rate': 0.0, 'power': 1.0, 'cycle': False, 'name': None}}, 'decay': 0.0, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-08, 'amsgrad': False, 'weight_decay_rate': 0.01}
- training_precision: float32
### Training results
| Train Loss | Validation Loss | Train Accuracy | Epoch |
|:----------:|:---------------:|:--------------:|:-----:|
| 2.8233 | 1.6956 | 0.808 | 0 |
| 1.2230 | 0.8527 | 0.882 | 1 |
| 0.7043 | 0.5496 | 0.896 | 2 |
| 0.4912 | 0.4837 | 0.882 | 3 |
| 0.3889 | 0.3585 | 0.914 | 4 |
### Framework versions
- Transformers 4.32.1
- TensorFlow 2.12.0
- Datasets 2.14.4
- Tokenizers 0.13.3
|
[
"apple_pie",
"baby_back_ribs",
"bruschetta",
"waffles",
"caesar_salad",
"cannoli",
"caprese_salad",
"carrot_cake",
"ceviche",
"cheesecake",
"cheese_plate",
"chicken_curry",
"chicken_quesadilla",
"baklava",
"chicken_wings",
"chocolate_cake",
"chocolate_mousse",
"churros",
"clam_chowder",
"club_sandwich",
"crab_cakes",
"creme_brulee",
"croque_madame",
"cup_cakes",
"beef_carpaccio",
"deviled_eggs",
"donuts",
"dumplings",
"edamame",
"eggs_benedict",
"escargots",
"falafel",
"filet_mignon",
"fish_and_chips",
"foie_gras",
"beef_tartare",
"french_fries",
"french_onion_soup",
"french_toast",
"fried_calamari",
"fried_rice",
"frozen_yogurt",
"garlic_bread",
"gnocchi",
"greek_salad",
"grilled_cheese_sandwich",
"beet_salad",
"grilled_salmon",
"guacamole",
"gyoza",
"hamburger",
"hot_and_sour_soup",
"hot_dog",
"huevos_rancheros",
"hummus",
"ice_cream",
"lasagna",
"beignets",
"lobster_bisque",
"lobster_roll_sandwich",
"macaroni_and_cheese",
"macarons",
"miso_soup",
"mussels",
"nachos",
"omelette",
"onion_rings",
"oysters",
"bibimbap",
"pad_thai",
"paella",
"pancakes",
"panna_cotta",
"peking_duck",
"pho",
"pizza",
"pork_chop",
"poutine",
"prime_rib",
"bread_pudding",
"pulled_pork_sandwich",
"ramen",
"ravioli",
"red_velvet_cake",
"risotto",
"samosa",
"sashimi",
"scallops",
"seaweed_salad",
"shrimp_and_grits",
"breakfast_burrito",
"spaghetti_bolognese",
"spaghetti_carbonara",
"spring_rolls",
"steak",
"strawberry_shortcake",
"sushi",
"tacos",
"takoyaki",
"tiramisu",
"tuna_tartare"
] |
dima806/dogs_cats_image_detection
|
See https://www.kaggle.com/code/dima806/dogs-vs-cats-image-detection-vit for details.
|
[
"cats",
"dogs"
] |
dima806/indian_food_image_detection
|
Achieved 75% accuracy for a validation dataset for classifying 80 types of common Indian food.
See [my Kaggle notebook](https://www.kaggle.com/code/dima806/indian-food-image-detection-vit) for more details.
```
Classification report:
precision recall f1-score support
adhirasam 0.9412 0.8000 0.8649 20
aloo_gobi 0.7857 0.5500 0.6471 20
aloo_matar 0.8500 0.8500 0.8500 20
aloo_methi 0.7407 1.0000 0.8511 20
aloo_shimla_mirch 0.7619 0.8000 0.7805 20
aloo_tikki 1.0000 0.7500 0.8571 20
anarsa 1.0000 0.7000 0.8235 20
ariselu 0.7692 1.0000 0.8696 20
bandar_laddu 0.8333 0.7500 0.7895 20
basundi 0.2254 0.8000 0.3516 20
bhatura 0.7600 0.9500 0.8444 20
bhindi_masala 0.8636 0.9500 0.9048 20
biryani 0.8571 0.9000 0.8780 20
boondi 0.9474 0.9000 0.9231 20
butter_chicken 0.4419 0.9500 0.6032 20
chak_hao_kheer 0.9474 0.9000 0.9231 20
cham_cham 1.0000 0.4000 0.5714 20
chana_masala 0.7692 1.0000 0.8696 20
chapati 0.7407 1.0000 0.8511 20
chhena_kheeri 0.0000 0.0000 0.0000 20
chicken_razala 0.8000 1.0000 0.8889 20
chicken_tikka 0.9091 0.5000 0.6452 20
chicken_tikka_masala 0.7273 0.4000 0.5161 20
chikki 0.7308 0.9500 0.8261 20
daal_baati_churma 0.6957 0.8000 0.7442 20
daal_puri 1.0000 0.3000 0.4615 20
dal_makhani 0.8182 0.9000 0.8571 20
dal_tadka 0.6552 0.9500 0.7755 20
dharwad_pedha 1.0000 0.8000 0.8889 20
doodhpak 0.6667 0.1000 0.1739 20
double_ka_meetha 0.7917 0.9500 0.8636 20
dum_aloo 0.8462 0.5500 0.6667 20
gajar_ka_halwa 0.8000 1.0000 0.8889 20
gavvalu 0.8095 0.8500 0.8293 20
ghevar 1.0000 0.8000 0.8889 20
gulab_jamun 0.5429 0.9500 0.6909 20
imarti 0.8333 1.0000 0.9091 20
jalebi 0.9474 0.9000 0.9231 20
kachori 0.6364 0.7000 0.6667 20
kadai_paneer 0.6923 0.9000 0.7826 20
kadhi_pakoda 0.8500 0.8500 0.8500 20
kajjikaya 0.9412 0.8000 0.8649 20
kakinada_khaja 0.8824 0.7500 0.8108 20
kalakand 0.7692 0.5000 0.6061 20
karela_bharta 1.0000 0.2000 0.3333 20
kofta 0.9333 0.7000 0.8000 20
kuzhi_paniyaram 0.6667 0.9000 0.7660 20
lassi 0.8000 1.0000 0.8889 20
ledikeni 0.5714 0.2000 0.2963 20
litti_chokha 1.0000 0.8000 0.8889 20
lyangcha 0.8947 0.8500 0.8718 20
maach_jhol 0.9375 0.7500 0.8333 20
makki_di_roti_sarson_da_saag 1.0000 0.8500 0.9189 20
malapua 1.0000 0.7000 0.8235 20
misi_roti 0.8571 0.9000 0.8780 20
misti_doi 0.6364 0.7000 0.6667 20
modak 0.7826 0.9000 0.8372 20
mysore_pak 0.7917 0.9500 0.8636 20
naan 0.9091 1.0000 0.9524 20
navrattan_korma 0.9286 0.6500 0.7647 20
palak_paneer 0.7917 0.9500 0.8636 20
paneer_butter_masala 0.6667 0.7000 0.6829 20
phirni 0.5500 0.5500 0.5500 20
pithe 1.0000 0.2500 0.4000 20
poha 0.6786 0.9500 0.7917 20
poornalu 0.9000 0.9000 0.9000 20
pootharekulu 0.8636 0.9500 0.9048 20
qubani_ka_meetha 1.0000 0.6500 0.7879 20
rabri 0.0000 0.0000 0.0000 20
ras_malai 0.7083 0.8500 0.7727 20
rasgulla 0.5263 1.0000 0.6897 20
sandesh 0.6000 0.1500 0.2400 20
shankarpali 0.8333 1.0000 0.9091 20
sheer_korma 0.4643 0.6500 0.5417 20
sheera 0.8667 0.6500 0.7429 20
shrikhand 0.8000 0.6000 0.6857 20
sohan_halwa 1.0000 0.5000 0.6667 20
sohan_papdi 0.5556 1.0000 0.7143 20
sutar_feni 0.8571 0.9000 0.8780 20
unni_appam 0.5556 0.7500 0.6383 20
accuracy 0.7519 1600
macro avg 0.7813 0.7519 0.7352 1600
weighted avg 0.7813 0.7519 0.7352 1600
```
|
[
"adhirasam",
"aloo_gobi",
"aloo_matar",
"aloo_methi",
"aloo_shimla_mirch",
"aloo_tikki",
"anarsa",
"ariselu",
"bandar_laddu",
"basundi",
"bhatura",
"bhindi_masala",
"biryani",
"boondi",
"butter_chicken",
"chak_hao_kheer",
"cham_cham",
"chana_masala",
"chapati",
"chhena_kheeri",
"chicken_razala",
"chicken_tikka",
"chicken_tikka_masala",
"chikki",
"daal_baati_churma",
"daal_puri",
"dal_makhani",
"dal_tadka",
"dharwad_pedha",
"doodhpak",
"double_ka_meetha",
"dum_aloo",
"gajar_ka_halwa",
"gavvalu",
"ghevar",
"gulab_jamun",
"imarti",
"jalebi",
"kachori",
"kadai_paneer",
"kadhi_pakoda",
"kajjikaya",
"kakinada_khaja",
"kalakand",
"karela_bharta",
"kofta",
"kuzhi_paniyaram",
"lassi",
"ledikeni",
"litti_chokha",
"lyangcha",
"maach_jhol",
"makki_di_roti_sarson_da_saag",
"malapua",
"misi_roti",
"misti_doi",
"modak",
"mysore_pak",
"naan",
"navrattan_korma",
"palak_paneer",
"paneer_butter_masala",
"phirni",
"pithe",
"poha",
"poornalu",
"pootharekulu",
"qubani_ka_meetha",
"rabri",
"ras_malai",
"rasgulla",
"sandesh",
"shankarpali",
"sheer_korma",
"sheera",
"shrikhand",
"sohan_halwa",
"sohan_papdi",
"sutar_feni",
"unni_appam"
] |
dima806/fruit_vegetable_image_detection
|
See https://www.kaggle.com/code/dima806/fruit-and-vegetable-image-detection-vit for more details.
|
[
"lemon",
"orange",
"beetroot",
"mango",
"chilli pepper",
"banana",
"cauliflower",
"cucumber",
"raddish",
"grapes",
"corn",
"pomegranate",
"bell pepper",
"peas",
"pear",
"sweetpotato",
"carrot",
"capsicum",
"spinach",
"apple",
"eggplant",
"tomato",
"paprika",
"ginger",
"pineapple",
"garlic",
"soy beans",
"watermelon",
"cabbage",
"potato",
"lettuce",
"sweetcorn",
"onion",
"turnip",
"jalepeno",
"kiwi"
] |
dima806/sea_animals_image_detection
|
See https://www.kaggle.com/code/dima806/sea-animals-image-detection-vit for more details.
|
[
"squid",
"eel",
"seal",
"octopus",
"otter",
"whale",
"sharks",
"jelly fish",
"turtle_tortoise",
"penguin",
"shrimp",
"sea urchins",
"fish",
"nudibranchs",
"corals",
"puffers",
"clams",
"sea rays",
"dolphin",
"seahorse",
"starfish",
"lobster",
"crabs"
] |
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