Add initial model and its training results.

.gitignore

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+.DS_Store

README.md

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 ---
 license: cc-by-4.0
+task_categories:
+  - object-detection
+datasets:
+- colour-science/colour-checker-detection-dataset
+tags:
+- color
+- color-checker
+- color-checker-detection
+- color-science
+- color-space
+- color-spaces
+- colorspace
+- colorspaces
+- colour
+- colour-checker
+- colour-checker-detection
+- colour-science
+- colour-space
+- colour-spaces
+- colourspace
+- colourspaces
+- image
+- model
+- models
+- segmentation
+- yolo
+pretty_name: Colour - Checker Detection - Models
 ---
+
+# Colour - Checker Detection - Models
+
+Various [YOLOv8](https://github.com/ultralytics/ultralytics) colour rendition charts detection models.
+
+The weights obtained by training YOLOv8 segmentation with the [colour-science/colour-checker-detection-model](https://huggingface.co/datasets/colour-science/colour-checker-detection-model) dataset are supporting colour rendition charts detection in the [Colour Checker Detection](https://github.com/colour-science/colour-checker-detection) Python package.
+
+## Classes
+
+- **ColorCheckerClassic24**: Calibrite / X-Rite ColorCheckerClassic 24
+
+## Models
+
+| **Name**                          | **Size** | **mAP50** | **mAP50-95** |
+|-----------------------------------|----------|-----------|--------------|
+| colour-checker-detection-l-seg.pt | 92.6 MB  | 0.995     | 0.96868      |
+
+# Contact & Social
+
+The *Colour Developers* can be reached via different means:
+
+- [Email](mailto:[email protected]>)
+- [Facebook](https://www.facebook.com/python.colour.science>)
+- [Github Discussions](https://github.com/colour-science/colour-checker-detection/discussions>)
+- [Gitter](https://gitter.im/colour-science/colour>)
+- [Twitter](https://twitter.com/colour_science>)
+
+# About
+
+**Colour - Checker Detection - Models** by Colour Developers \
+Copyright 2024 Colour Developers – [mailto:[email protected]]([email protected]) \
+This software is released under terms of CC-BY-4.0: https://creativecommons.org/licenses/by/4.0/ \
+[https://huggingface.co/colour-science/colour-checker-detection-models](https://huggingface.co/colour-science/colour-checker-detection-models)

models/colour-checker-detection-l-seg.pt

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training/colour-checker-detection-l-seg/train/args.yaml

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+task: segment
+mode: train
+model: yolov8l-seg.pt
+data: /content/colour-checker-detection-dataset
+epochs: 600
+time: null
+patience: 50
+batch: 16
+imgsz: 1280
+save: true
+save_period: -1
+cache: false
+device: 0
+workers: 8
+project: null
+name: train3
+exist_ok: false
+pretrained: true
+optimizer: auto
+verbose: true
+seed: 0
+deterministic: true
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+cos_lr: false
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+resume: false
+amp: true
+fraction: 1.0
+profile: false
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+val: true
+split: val
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+iou: 0.7
+max_det: 300
+half: false
+dnn: false
+plots: true
+source: null
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+stream_buffer: false
+visualize: false
+augment: false
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+classes: null
+retina_masks: false
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+save_crop: false
+show_labels: true
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+int8: false
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+lr0: 0.01
+lrf: 0.01
+momentum: 0.937
+weight_decay: 0.0005
+warmup_epochs: 3.0
+warmup_momentum: 0.8
+warmup_bias_lr: 0.1
+box: 7.5
+cls: 0.5
+dfl: 1.5
+pose: 12.0
+kobj: 1.0
+label_smoothing: 0.0
+nbs: 64
+hsv_h: 0.05
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+degrees: 22.5
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+fliplr: 0.25
+mosaic: 0
+mixup: 0.0
+copy_paste: 0.0
+cfg: null
+tracker: botsort.yaml
+save_dir: runs/segment/train

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