Spaces:
Running
Running
# 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 | |