Add initial model and its training results.
Browse files- .gitignore +1 -0
- README.md +60 -0
- models/colour-checker-detection-l-seg.pt +3 -0
- training/colour-checker-detection-l-seg/train/BoxF1_curve.png +0 -0
- training/colour-checker-detection-l-seg/train/BoxPR_curve.png +0 -0
- training/colour-checker-detection-l-seg/train/BoxP_curve.png +0 -0
- training/colour-checker-detection-l-seg/train/BoxR_curve.png +0 -0
- training/colour-checker-detection-l-seg/train/MaskF1_curve.png +0 -0
- training/colour-checker-detection-l-seg/train/MaskPR_curve.png +0 -0
- training/colour-checker-detection-l-seg/train/MaskP_curve.png +0 -0
- training/colour-checker-detection-l-seg/train/MaskR_curve.png +0 -0
- training/colour-checker-detection-l-seg/train/args.yaml +101 -0
- training/colour-checker-detection-l-seg/train/confusion_matrix.png +0 -0
- training/colour-checker-detection-l-seg/train/confusion_matrix_normalized.png +0 -0
- training/colour-checker-detection-l-seg/train/events.out.tfevents.1704226217.30e1602f14b6.4717.0 +3 -0
- training/colour-checker-detection-l-seg/train/labels.jpg +0 -0
- training/colour-checker-detection-l-seg/train/labels_correlogram.jpg +0 -0
- training/colour-checker-detection-l-seg/train/results.csv +0 -0
- training/colour-checker-detection-l-seg/train/results.png +0 -0
- training/colour-checker-detection-l-seg/train/train_batch0.jpg +0 -0
- training/colour-checker-detection-l-seg/train/train_batch1.jpg +0 -0
- training/colour-checker-detection-l-seg/train/train_batch2.jpg +0 -0
- training/colour-checker-detection-l-seg/train/val_batch0_labels.jpg +0 -0
- training/colour-checker-detection-l-seg/train/val_batch0_pred.jpg +0 -0
- training/colour-checker-detection-l-seg/val/BoxF1_curve.png +0 -0
- training/colour-checker-detection-l-seg/val/BoxPR_curve.png +0 -0
- training/colour-checker-detection-l-seg/val/BoxP_curve.png +0 -0
- training/colour-checker-detection-l-seg/val/BoxR_curve.png +0 -0
- training/colour-checker-detection-l-seg/val/MaskF1_curve.png +0 -0
- training/colour-checker-detection-l-seg/val/MaskPR_curve.png +0 -0
- training/colour-checker-detection-l-seg/val/MaskP_curve.png +0 -0
- training/colour-checker-detection-l-seg/val/MaskR_curve.png +0 -0
- training/colour-checker-detection-l-seg/val/confusion_matrix.png +0 -0
- training/colour-checker-detection-l-seg/val/confusion_matrix_normalized.png +0 -0
- training/colour-checker-detection-l-seg/val/val_batch0_labels.jpg +0 -0
- training/colour-checker-detection-l-seg/val/val_batch0_pred.jpg +0 -0
.gitignore
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.DS_Store
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README.md
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---
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license: cc-by-4.0
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---
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---
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license: cc-by-4.0
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task_categories:
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- object-detection
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datasets:
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- colour-science/colour-checker-detection-dataset
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tags:
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- color
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- color-checker
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- color-checker-detection
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- color-science
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- color-space
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- color-spaces
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- colorspace
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- colorspaces
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- colour
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- colour-checker
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- colour-checker-detection
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- colour-science
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- colour-space
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- colour-spaces
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- colourspace
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- colourspaces
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- image
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- model
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- models
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- segmentation
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- yolo
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pretty_name: Colour - Checker Detection - Models
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---
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# Colour - Checker Detection - Models
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Various [YOLOv8](https://github.com/ultralytics/ultralytics) colour rendition charts detection models.
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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.
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## Classes
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- **ColorCheckerClassic24**: Calibrite / X-Rite ColorCheckerClassic 24
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## Models
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| **Name** | **Size** | **mAP50** | **mAP50-95** |
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|-----------------------------------|----------|-----------|--------------|
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| colour-checker-detection-l-seg.pt | 92.6 MB | 0.995 | 0.96868 |
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# Contact & Social
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The *Colour Developers* can be reached via different means:
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- [Email](mailto:colour-developers@colour-science.org>)
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- [Facebook](https://www.facebook.com/python.colour.science>)
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- [Github Discussions](https://github.com/colour-science/colour-checker-detection/discussions>)
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- [Gitter](https://gitter.im/colour-science/colour>)
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- [Twitter](https://twitter.com/colour_science>)
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# About
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**Colour - Checker Detection - Models** by Colour Developers \
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Copyright 2024 Colour Developers – [mailto:colour-developers@colour-science.org](colour-developers@colour-science.org) \
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This software is released under terms of CC-BY-4.0: https://creativecommons.org/licenses/by/4.0/ \
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[https://huggingface.co/colour-science/colour-checker-detection-models](https://huggingface.co/colour-science/colour-checker-detection-models)
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models/colour-checker-detection-l-seg.pt
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version https://git-lfs.github.com/spec/v1
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oid sha256:acc785646c0fd06fd0a65dff29b074bbd78bf543109692c9105ffaef43c9f251
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size 92579635
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training/colour-checker-detection-l-seg/train/BoxF1_curve.png
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training/colour-checker-detection-l-seg/train/BoxPR_curve.png
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training/colour-checker-detection-l-seg/train/BoxP_curve.png
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training/colour-checker-detection-l-seg/train/BoxR_curve.png
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training/colour-checker-detection-l-seg/train/MaskF1_curve.png
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training/colour-checker-detection-l-seg/train/MaskPR_curve.png
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training/colour-checker-detection-l-seg/train/MaskP_curve.png
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training/colour-checker-detection-l-seg/train/MaskR_curve.png
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training/colour-checker-detection-l-seg/train/args.yaml
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task: segment
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mode: train
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model: yolov8l-seg.pt
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data: /content/colour-checker-detection-dataset
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epochs: 600
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time: null
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patience: 50
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batch: 16
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imgsz: 1280
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save: true
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save_period: -1
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cache: false
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device: 0
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workers: 8
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project: null
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name: train3
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exist_ok: false
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pretrained: true
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optimizer: auto
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verbose: true
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seed: 0
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deterministic: true
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single_cls: false
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rect: false
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cos_lr: false
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close_mosaic: 10
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resume: false
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amp: true
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fraction: 1.0
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profile: false
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freeze: null
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overlap_mask: true
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mask_ratio: 4
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dropout: 0.0
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val: true
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split: val
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save_json: false
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save_hybrid: false
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conf: null
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iou: 0.7
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max_det: 300
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half: false
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dnn: false
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plots: true
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source: null
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vid_stride: 1
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stream_buffer: false
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visualize: false
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augment: false
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agnostic_nms: false
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classes: null
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retina_masks: false
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embed: null
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show: false
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save_frames: false
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save_txt: false
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save_conf: false
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save_crop: false
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show_labels: true
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show_conf: true
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show_boxes: true
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line_width: null
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format: torchscript
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keras: false
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optimize: false
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int8: false
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dynamic: false
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simplify: false
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opset: null
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workspace: 4
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nms: false
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lr0: 0.01
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lrf: 0.01
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momentum: 0.937
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weight_decay: 0.0005
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warmup_epochs: 3.0
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warmup_momentum: 0.8
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warmup_bias_lr: 0.1
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box: 7.5
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cls: 0.5
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dfl: 1.5
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pose: 12.0
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kobj: 1.0
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label_smoothing: 0.0
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nbs: 64
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hsv_h: 0.05
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hsv_s: 0.5
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hsv_v: 0.25
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degrees: 22.5
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translate: 0.1
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scale: 0.25
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shear: 11.25
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perspective: 0.0
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flipud: 0.25
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fliplr: 0.25
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mosaic: 0
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mixup: 0.0
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copy_paste: 0.0
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cfg: null
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tracker: botsort.yaml
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save_dir: runs/segment/train
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training/colour-checker-detection-l-seg/train/confusion_matrix.png
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training/colour-checker-detection-l-seg/train/confusion_matrix_normalized.png
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training/colour-checker-detection-l-seg/train/events.out.tfevents.1704226217.30e1602f14b6.4717.0
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version https://git-lfs.github.com/spec/v1
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oid sha256:1b5ca15e752c14f64307b1b2dae70c8d887940d916aa212cbe238364aed8de82
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size 1184505
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training/colour-checker-detection-l-seg/train/labels.jpg
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training/colour-checker-detection-l-seg/train/labels_correlogram.jpg
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training/colour-checker-detection-l-seg/train/results.csv
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The diff for this file is too large to render.
See raw diff
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training/colour-checker-detection-l-seg/train/results.png
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training/colour-checker-detection-l-seg/train/train_batch0.jpg
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training/colour-checker-detection-l-seg/train/train_batch1.jpg
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training/colour-checker-detection-l-seg/train/train_batch2.jpg
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training/colour-checker-detection-l-seg/train/val_batch0_labels.jpg
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training/colour-checker-detection-l-seg/train/val_batch0_pred.jpg
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training/colour-checker-detection-l-seg/val/BoxF1_curve.png
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training/colour-checker-detection-l-seg/val/BoxPR_curve.png
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training/colour-checker-detection-l-seg/val/BoxP_curve.png
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training/colour-checker-detection-l-seg/val/BoxR_curve.png
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training/colour-checker-detection-l-seg/val/MaskF1_curve.png
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training/colour-checker-detection-l-seg/val/MaskPR_curve.png
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training/colour-checker-detection-l-seg/val/MaskP_curve.png
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training/colour-checker-detection-l-seg/val/MaskR_curve.png
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training/colour-checker-detection-l-seg/val/confusion_matrix.png
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training/colour-checker-detection-l-seg/val/confusion_matrix_normalized.png
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training/colour-checker-detection-l-seg/val/val_batch0_labels.jpg
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training/colour-checker-detection-l-seg/val/val_batch0_pred.jpg
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