{"url":"/dataset/ppr10k","name":"PPR10K","full_name":"Portrait Photo Retouching dataset","description_markdown":"**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:\r\n\r\n* 11,161 high-quality raw portrait photos (resolutions from 4K to 8K) in 1,681 groups;\r\n* 3 versions of manual retouched targets of all photos given by 3 expert retouchers;\r\n* full resolution human-region masks of all photos.","description_withheld":null,"homepage":"https://github.com/csjliang/PPR10K","introduced_date":"2021-05-19","introduced_date_note":null,"introduced_by":{"paper":"/paper/ppr10k-a-large-scale-portrait-photo","title":"PPR10K: A Large-Scale Portrait Photo Retouching Dataset with Human-Region Mask and Group-Level Consistency","first_author":"Jie Liang","url":null},"license":{"name":"Custom (non-commercial)","url":null},"modalities":[{"name":"Images","url":"/datasets/modality/images"}],"tasks":[],"languages":[],"variants":["PPR10K"],"data_loaders":[],"num_papers_in_archive":14,"source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28"},"benchmarks":[],"papers_with_a_benchmark_row":[],"syntology_totals":{"read_at":"2026-09-24T18:15:14+00:00","papers_with_samples":0,"samples_harvested":0,"samples_ran":0,"samples_unverified":0,"pointer_only_for_licence":0,"papers_with_no_sample_that_ran":0,"note":"the per-paper counts above, summed; not a rate"},"papers_note":"The archive never published its papers-using-dataset list; these are papers with a leaderboard row on this dataset's benchmarks."}