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| # Ultralytics π 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 | |
| # βββ ultralytics | |
| # βββ datasets | |
| # βββ dog-pose β 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 | |