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Add initial model and its training results.

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  1. .gitignore +1 -0
  2. README.md +60 -0
  3. models/colour-checker-detection-l-seg.pt +3 -0
  4. training/colour-checker-detection-l-seg/train/BoxF1_curve.png +0 -0
  5. training/colour-checker-detection-l-seg/train/BoxPR_curve.png +0 -0
  6. training/colour-checker-detection-l-seg/train/BoxP_curve.png +0 -0
  7. training/colour-checker-detection-l-seg/train/BoxR_curve.png +0 -0
  8. training/colour-checker-detection-l-seg/train/MaskF1_curve.png +0 -0
  9. training/colour-checker-detection-l-seg/train/MaskPR_curve.png +0 -0
  10. training/colour-checker-detection-l-seg/train/MaskP_curve.png +0 -0
  11. training/colour-checker-detection-l-seg/train/MaskR_curve.png +0 -0
  12. training/colour-checker-detection-l-seg/train/args.yaml +101 -0
  13. training/colour-checker-detection-l-seg/train/confusion_matrix.png +0 -0
  14. training/colour-checker-detection-l-seg/train/confusion_matrix_normalized.png +0 -0
  15. training/colour-checker-detection-l-seg/train/events.out.tfevents.1704226217.30e1602f14b6.4717.0 +3 -0
  16. training/colour-checker-detection-l-seg/train/labels.jpg +0 -0
  17. training/colour-checker-detection-l-seg/train/labels_correlogram.jpg +0 -0
  18. training/colour-checker-detection-l-seg/train/results.csv +0 -0
  19. training/colour-checker-detection-l-seg/train/results.png +0 -0
  20. training/colour-checker-detection-l-seg/train/train_batch0.jpg +0 -0
  21. training/colour-checker-detection-l-seg/train/train_batch1.jpg +0 -0
  22. training/colour-checker-detection-l-seg/train/train_batch2.jpg +0 -0
  23. training/colour-checker-detection-l-seg/train/val_batch0_labels.jpg +0 -0
  24. training/colour-checker-detection-l-seg/train/val_batch0_pred.jpg +0 -0
  25. training/colour-checker-detection-l-seg/val/BoxF1_curve.png +0 -0
  26. training/colour-checker-detection-l-seg/val/BoxPR_curve.png +0 -0
  27. training/colour-checker-detection-l-seg/val/BoxP_curve.png +0 -0
  28. training/colour-checker-detection-l-seg/val/BoxR_curve.png +0 -0
  29. training/colour-checker-detection-l-seg/val/MaskF1_curve.png +0 -0
  30. training/colour-checker-detection-l-seg/val/MaskPR_curve.png +0 -0
  31. training/colour-checker-detection-l-seg/val/MaskP_curve.png +0 -0
  32. training/colour-checker-detection-l-seg/val/MaskR_curve.png +0 -0
  33. training/colour-checker-detection-l-seg/val/confusion_matrix.png +0 -0
  34. training/colour-checker-detection-l-seg/val/confusion_matrix_normalized.png +0 -0
  35. training/colour-checker-detection-l-seg/val/val_batch0_labels.jpg +0 -0
  36. training/colour-checker-detection-l-seg/val/val_batch0_pred.jpg +0 -0
.gitignore ADDED
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+ .DS_Store
README.md CHANGED
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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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+
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+ # Colour - Checker Detection - Models
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+
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+ Various [YOLOv8](https://github.com/ultralytics/ultralytics) colour rendition charts detection models.
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+
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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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+
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+ ## Classes
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+
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+ - **ColorCheckerClassic24**: Calibrite / X-Rite ColorCheckerClassic 24
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+
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+ ## Models
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+
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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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+
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+ # Contact & Social
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+
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+ The *Colour Developers* can be reached via different means:
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+
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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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+
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+ # About
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+
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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)
models/colour-checker-detection-l-seg.pt ADDED
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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
training/colour-checker-detection-l-seg/train/BoxF1_curve.png ADDED
training/colour-checker-detection-l-seg/train/BoxPR_curve.png ADDED
training/colour-checker-detection-l-seg/train/BoxP_curve.png ADDED
training/colour-checker-detection-l-seg/train/BoxR_curve.png ADDED
training/colour-checker-detection-l-seg/train/MaskF1_curve.png ADDED
training/colour-checker-detection-l-seg/train/MaskPR_curve.png ADDED
training/colour-checker-detection-l-seg/train/MaskP_curve.png ADDED
training/colour-checker-detection-l-seg/train/MaskR_curve.png ADDED
training/colour-checker-detection-l-seg/train/args.yaml ADDED
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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
training/colour-checker-detection-l-seg/train/confusion_matrix.png ADDED
training/colour-checker-detection-l-seg/train/confusion_matrix_normalized.png ADDED
training/colour-checker-detection-l-seg/train/events.out.tfevents.1704226217.30e1602f14b6.4717.0 ADDED
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+ size 1184505
training/colour-checker-detection-l-seg/train/labels.jpg ADDED
training/colour-checker-detection-l-seg/train/labels_correlogram.jpg ADDED
training/colour-checker-detection-l-seg/train/results.csv ADDED
The diff for this file is too large to render. See raw diff
 
training/colour-checker-detection-l-seg/train/results.png ADDED
training/colour-checker-detection-l-seg/train/train_batch0.jpg ADDED
training/colour-checker-detection-l-seg/train/train_batch1.jpg ADDED
training/colour-checker-detection-l-seg/train/train_batch2.jpg ADDED
training/colour-checker-detection-l-seg/train/val_batch0_labels.jpg ADDED
training/colour-checker-detection-l-seg/train/val_batch0_pred.jpg ADDED
training/colour-checker-detection-l-seg/val/BoxF1_curve.png ADDED
training/colour-checker-detection-l-seg/val/BoxPR_curve.png ADDED
training/colour-checker-detection-l-seg/val/BoxP_curve.png ADDED
training/colour-checker-detection-l-seg/val/BoxR_curve.png ADDED
training/colour-checker-detection-l-seg/val/MaskF1_curve.png ADDED
training/colour-checker-detection-l-seg/val/MaskPR_curve.png ADDED
training/colour-checker-detection-l-seg/val/MaskP_curve.png ADDED
training/colour-checker-detection-l-seg/val/MaskR_curve.png ADDED
training/colour-checker-detection-l-seg/val/confusion_matrix.png ADDED
training/colour-checker-detection-l-seg/val/confusion_matrix_normalized.png ADDED
training/colour-checker-detection-l-seg/val/val_batch0_labels.jpg ADDED
training/colour-checker-detection-l-seg/val/val_batch0_pred.jpg ADDED