COCO-WholeBody is the first dataset to evaluate full body pose. COCO-WholeBody is an extension of the COCO 2017 dataset, with the same training and validation breakdown as COCO. The dataset annotates 4 types of bounding boxes: person box, face box, left hand box and right hand box. In addition, 133 key points are annotated (17 for the body, 6 for the legs, 68 for the face, and 42 for the arms).

Citation

@inproceedings{jin2020whole,
title={Whole-Body Human Pose Estimation in the Wild},
author={Jin, Sheng and Xu, Lumin and Xu, Jin and Wang, Can and Liu, Wentao and Qian, Chen and Ouyang, Wanli and Luo, Ping},
booktitle={Proceedings of the European Conference on Computer Vision (ECCV)},
year={2020}
}
@article{xu2022zoomnas,
title={ZoomNAS: Searching for Whole-body Human Pose Estimation in the Wild},
author={Xu, Lumin and Jin, Sheng and Liu, Wentao and Qian, Chen and Ouyang, Wanli and Luo, Ping and Wang, Xiaogang},
journal={IEEE Transactions on Pattern Analysis and Machine Intelligence},
year={2022},
publisher={IEEE}
}