AP-10K is the first large-scale benchmark for general animal pose estimation and can be used for research on animal pose estimation. The dataset includes approximately 10,000 mammal images labeled with pose information, which are classified into 23 families and 60 species. The dataset follows the taxonomic hierarchy, has high-quality keypoint annotations, and has been manually inspected.

Citation

@inproceedings{yu2021ap, title={AP-10K: A Benchmark for Animal Pose Estimation in the Wild}, author={Yu, Hang and Xu, Yufei and Zhang, Jing and Zhao, Wei and Guan, Ziyu and Tao, Dacheng} booktitle={Thirty-fifth Conference on Neural Information Processing Systems Datasets and Benchmarks Track (Round 2)}, year={2021} }