P3M-10k stands for Privacy-Preserving Portrait Matting Dataset, which is a public portrait matting dataset. The dataset contains 10,421 anonymous high-resolution portrait images with blurred faces and their corresponding high-quality alpha masked annotated images. There are 9,421 images in the training set and 500 images in the test set.

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} }