add yolo v10 and modify pipeline
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# Ultralytics YOLO 🚀, AGPL-3.0 license
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# COCO 2017 dataset http://cocodataset.org by Microsoft
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# COCO 2017 dataset https://cocodataset.org by Microsoft
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# Documentation: https://docs.ultralytics.com/datasets/detect/coco/
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# Example usage: yolo train data=coco.yaml
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# parent
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# ├── ultralytics
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# └── datasets
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# └── coco ← downloads here (20.1 GB)
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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/coco # dataset root dir
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train: train2017.txt # train images (relative to 'path') 118287 images
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val: val2017.txt # val images (relative to 'path') 5000 images
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test: test-dev2017.txt # 20288 of 40670 images, submit to https://competitions.codalab.org/competitions/20794
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path: ../datasets/coco # dataset root dir
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train: train2017.txt # train images (relative to 'path') 118287 images
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val: val2017.txt # val images (relative to 'path') 5000 images
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test: test-dev2017.txt # 20288 of 40670 images, submit to https://competitions.codalab.org/competitions/20794
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# Classes
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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: |
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from ultralytics.utils.downloads import download
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