P3M-10K

P3M-10K P3M-10K (Privacy-Preserving Portrait Matting) is a large-scale portrait matting benchmark. It is redistributed here from the original release by JizhiziLi/P3M. If you use this dataset, please cite the original paper: Jizhizi Li, Sihan Ma, Xin Zhang, Dacheng Tao. “Privacy-Preserving Portrait Matting.” ACM International Conference on Multimedia (ACM MM), 2021. Contents Each example is a portrait RGB image and its corresponding alpha matte: Column… See the full description on the dataset page:

Source: Hugging Face Hub (nobg/P3M-10K). Metadata imported from the dataset’s Hub tags.