P3M-10k 全称 Privacy-Preserving Portrait Matting Dataset，是一个人像抠图公开数据集。该数据集包含 10,421 张通过面部模糊处理的匿名高分辨率肖像图像及其对应的高质量的 alpha 遮罩标注图片。其中训练集中有 9,421 张图像，测试集中有 500 张图像。

Citation

@inproceedings{10.1145/3474085.3475512, author = {Li, Jizhizi and Ma, Sihan and Zhang, Jing and Tao, Dacheng}, title = {Privacy-Preserving Portrait Matting}, year = {2021}, isbn = {9781450386517}, publisher = {Association for Computing Machinery}, address = {New York, NY, USA}, url = {https://doi.org/10.1145/3474085.3475512}, doi = {10.1145/3474085.3475512}, booktitle = {Proceedings of the 29th ACM International Conference on Multimedia}, pages = {3501–3509}, numpages = {9}, keywords = {trimap, benchmark, portrait matting, deep learning, semantic segmentation, privacy-preserving}, location = {Virtual Event, China}, series = {MM ’21} }