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- # Ultralytics 🚀 AGPL-3.0 License - https://ultralytics.com/license
- # Dogs dataset http://vision.stanford.edu/aditya86/ImageNetDogs/ by Stanford
- # Documentation: https://docs.ultralytics.com/datasets/pose/dog-pose/
- # Example usage: yolo train data=dog-pose.yaml
- # parent
- # ├── ultralytics
- # └── datasets
- # └── dog-pose ← downloads here (337 MB)
- # 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, ..]
- path: ../datasets/dog-pose # dataset root dir
- train: train # train images (relative to 'path') 6773 images
- val: val # val images (relative to 'path') 1703 images
- # Keypoints
- kpt_shape: [24, 3] # number of keypoints, number of dims (2 for x,y or 3 for x,y,visible)
- # Classes
- names:
- 0: dog
- # Download script/URL (optional)
- download: https://github.com/ultralytics/assets/releases/download/v0.0.0/dog-pose.zip
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