COCO-WholeBody 是第一个评估全身姿态的数据集。 COCO-WholeBody 是 COCO 2017 数据集的扩展，具有与 COCO 相同的训练和验证细目。 该数据集标注了 4 种类型的边界框：人框，人脸框，左手框和右手框。 此外，还标注了 133 个关键点（身体 17 个，腿 6 个，面部 68 个，手臂 42 个）。

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}
}