add yolo v10 and modify pipeline
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# Ultralytics YOLO 🚀, AGPL-3.0 license
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# COCO128-seg dataset https://www.kaggle.com/ultralytics/coco128 (first 128 images from COCO train2017) by Ultralytics
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# Documentation: https://docs.ultralytics.com/datasets/segment/coco/
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# Example usage: yolo train data=coco128.yaml
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# parent
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# ├── ultralytics
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# └── datasets
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# └── coco128-seg ← downloads here (7 MB)
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# Train/val/test sets as 1) dir: path/to/imgs, 2) file: path/to/imgs.txt, or 3) list: [path/to/imgs1, path/to/imgs2, ..]
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path: ../datasets/coco128-seg # dataset root dir
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train: images/train2017 # train images (relative to 'path') 128 images
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val: images/train2017 # val images (relative to 'path') 128 images
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test: # test images (optional)
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path: ../datasets/coco128-seg # dataset root dir
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train: images/train2017 # train images (relative to 'path') 128 images
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val: images/train2017 # val images (relative to 'path') 128 images
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test: # test images (optional)
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# Classes
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names:
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@ -96,6 +96,5 @@ names:
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78: hair drier
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79: toothbrush
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# Download script/URL (optional)
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download: https://ultralytics.com/assets/coco128-seg.zip
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