Animal Pose dataset

This repo maintains the animal pose dataset proposed in paper Cross-Domain Adaptation for Animal Pose Estimation on ICCV'2019. The project page is here.

Download

The dataset splits to two subsets:

• Part I: includes animals (of five categories: cow, sheep, horse, cat, dog) with both bounding boxes and keypoints annotated. [Google Drive]
• Part II: includes animals of other seven species, provided for unsupervised domain adptation task. [Google Drive]

Please contact us if you have trouble downloading the files from Google Drive.

Format

For the Part I subset, the annotations follow the format convention of COCO. For each instance, it has bounding box annotation in the format [xmin, ymin, xmax, ymax] and the keypoint annotation in the format [x, y, visible]. If the visible flag of a keypoint is 1, it is annotated and shouble not be occluded.

For the Part II subset, the annotation is also included in a json file but only bounding boxes coordinates [xmin, ymin, xmax, ymax] are provided.

Citation

If the dataset helps you, please cite our work:

@inproceedings{cao2019cross,
  title={Cross-domain adaptation for animal pose estimation},
  author={Cao, Jinkun and Tang, Hongyang and Fang, Hao-Shu and Shen, Xiaoyong and Lu, Cewu and Tai, Yu-Wing},
  booktitle={Proceedings of the IEEE/CVF International Conference on Computer Vision},
  pages={9498--9507},
  year={2019}
}