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---
dataset_info:
features:
- name: image
dtype: image
- name: label
dtype:
class_label:
names:
'0': accordion
'1': airplanes
'2': anchor
'3': ant
'4': background google
'5': barrel
'6': bass
'7': beaver
'8': binocular
'9': bonsai
'10': brain
'11': brontosaurus
'12': buddha
'13': butterfly
'14': camera
'15': cannon
'16': car side
'17': ceiling fan
'18': cellphone
'19': chair
'20': chandelier
'21': cougar body
'22': cougar face
'23': crab
'24': crayfish
'25': crocodile
'26': crocodile head
'27': cup
'28': dalmatian
'29': dollar bill
'30': dolphin
'31': dragonfly
'32': electric guitar
'33': elephant
'34': emu
'35': euphonium
'36': ewer
'37': faces
'38': faces easy
'39': ferry
'40': flamingo
'41': flamingo head
'42': garfield
'43': gerenuk
'44': gramophone
'45': grand piano
'46': hawksbill
'47': headphone
'48': hedgehog
'49': helicopter
'50': ibis
'51': inline skate
'52': joshua tree
'53': kangaroo
'54': ketch
'55': lamp
'56': laptop
'57': leopards
'58': llama
'59': lobster
'60': lotus
'61': mandolin
'62': mayfly
'63': menorah
'64': metronome
'65': minaret
'66': motorbikes
'67': nautilus
'68': octopus
'69': okapi
'70': pagoda
'71': panda
'72': pigeon
'73': pizza
'74': platypus
'75': pyramid
'76': revolver
'77': rhino
'78': rooster
'79': saxophone
'80': schooner
'81': scissors
'82': scorpion
'83': sea horse
'84': snoopy
'85': soccer ball
'86': stapler
'87': starfish
'88': stegosaurus
'89': stop sign
'90': strawberry
'91': sunflower
'92': tick
'93': trilobite
'94': umbrella
'95': watch
'96': water lilly
'97': wheelchair
'98': wild cat
'99': windsor chair
'100': wrench
'101': yin yang
- name: id
dtype: int64
- name: clip_tags_ViT_L_14
sequence: string
- name: LLM_Description_opt175b_downstream_tasks_ViT_L_14
sequence: string
- name: LLM_Description_gpt3_downstream_tasks_ViT_L_14
sequence: string
- name: blip_caption
dtype: string
- name: LLM_Description_gpt3_downstream_tasks_visual_genome_ViT_L_14
sequence: string
- name: Attributes_ViT_L_14_text_davinci_003_full
sequence: string
- name: Attributes_ViT_L_14_text_davinci_003_caltech101
sequence: string
- name: clip_tags_ViT_L_14_with_openai_classes
sequence: string
- name: clip_tags_ViT_L_14_wo_openai_classes
sequence: string
- name: clip_tags_ViT_L_14_simple_specific
dtype: string
- name: clip_tags_ViT_B_16_simple_specific
dtype: string
- name: clip_tags_ViT_B_16_ensemble_specific
dtype: string
- name: clip_tags_ViT_B_32_simple_specific
dtype: string
- name: clip_tags_ViT_B_32_ensemble_specific
dtype: string
- name: Attributes_ViT_B_16_descriptors_text_davinci_003_full
sequence: string
- name: Attributes_LAION_ViT_H_14_2B_descriptors_text_davinci_003_full
sequence: string
- name: clip_tags_LAION_ViT_H_14_2B_simple_specific
dtype: string
- name: clip_tags_LAION_ViT_H_14_2B_ensemble_specific
dtype: string
splits:
- name: train
num_bytes: 49965015.0
num_examples: 3060
download_size: 45077220
dataset_size: 49965015.0
---
# Dataset Card for "Caltech101_with_background_train"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) |