Dataset · Hugging Face

nobg/P3M-10K

Name: P3M-10K
Creator: nobg
License: mit
Keywords: task_categories:image-segmentation, license:mit, size_categories:10K<n<100K, format:parquet, format:optimized-parquet, modality:image, library:datasets, library:dask, library:polars, library:mlcroissant, region:us, image-matting, portrait-matting, alpha-matte

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: https://huggingface.co/datasets/nobg/P3M-10K.

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Author / organization	nobg
License (as declared)	mit
Downloads	793 (as reported by Hugging Face)
Likes	0
Created	12 July 2026
Last updated at source	12 July 2026

image-mattingportrait-mattingalpha-matte

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