Look into Person (LIP) 是最流行的单人人体分割数据集，它使用像素级注释进行注释，具有19个语义人体部分标签和一个背景标签。LIP包含50,462个带注释的图像，分为30,462/10,000/10,000，分别用于训练/验证/测试。LIP数据集中的图像是来自COCO训练和验证集的裁剪人物实例。

@article{liang2018look, title={Look into Person: Joint Body Parsing \& Pose Estimation Network and a New Benchmark}, author={Liang, Xiaodan and Gong, Ke and Shen, Xiaohui and Lin, Liang}, journal={IEEE Transactions on Pattern Analysis and Machine Intelligence}, year={2018}, publisher={IEEE} }

@InProceedings{Gong_2017_CVPR, author = {Gong, Ke and Liang, Xiaodan and Zhang, Dongyu and Shen, Xiaohui and Lin, Liang}, title = {Look Into Person: Self-Supervised Structure-Sensitive Learning and a New Benchmark for Human Parsing}, booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {July}, year = {2017} }

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