Datasets › PPR10K

PPR10K (Portrait Photo Retouching dataset)

Introduced by Jie Liang et al. in PPR10K: A Large-Scale Portrait Photo Retouching Dataset with Human-Region Mask and Group-Level Consistency19 May 2021 archive 2025-07-28

PPR10K is a dataset for portrait photo retouching (PPR), which aims to enhance the visual quality of a collection of flat-looking portrait photos. The Portrait Photo Retouching dataset (PPR10K) is a large-scale and diverse dataset that contains:

  • 11,161 high-quality raw portrait photos (resolutions from 4K to 8K) in 1,681 groups;
  • 3 versions of manual retouched targets of all photos given by 3 expert retouchers;
  • full resolution human-region masks of all photos.

Benchmarks archive 2025-07-28

No leaderboard in the archive resolves to this dataset.

Papers archive 2025-07-28

No paper in the archive has a leaderboard row on this dataset; the archive counts 14 papers for it but never published that list.

Dataset loaders archive 2025-07-28

No loader listed in the archive.

Tasks archive 2025-07-28

No task tagged in the archive.

License archive 2025-07-28

Custom (non-commercial)

Modalities archive 2025-07-28

Languages archive 2025-07-28

No language tagged.

Variants archive 2025-07-28

  • PPR10K

1 variant name, as the archive lists them.

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