{"url":"/dataset/peopleart","name":"PeopleArt","full_name":"PeopleArt","description_markdown":"People-Art is an object detection dataset which consists of people in 43 different styles. People contained in this dataset are quite different from those in common photographs. There are 42 categories of art styles and movements including Naturalism, Cubism, Socialist Realism, Impressionism, and Suprematism\n\nSource: [Point Linking Network for Object Detection](https://arxiv.org/abs/1706.03646)\nImage Source: [https://www.researchgate.net/figure/Generalization-results-on-Picasso-and-People-Art-datasets-Joseph-Redmon-2016_fig12_328175597](https://www.researchgate.net/figure/Generalization-results-on-Picasso-and-People-Art-datasets-Joseph-Redmon-2016_fig12_328175597)","description_withheld":null,"homepage":"https://github.com/BathVisArtData/PeopleArt","introduced_date":"2016-01-01","introduced_date_note":null,"introduced_by":{"paper":"/paper/detecting-people-in-artwork-with-cnns","title":"Detecting People in Artwork with CNNs","first_author":"Nicholas Westlake","url":null},"license":null,"modalities":[{"name":"Images","url":"/datasets/modality/images"}],"tasks":[{"name":"Object Detection","url":"/task/object-detection","datasets_with_task":"/datasets/task/object-detection"},{"name":"Weakly Supervised Object Detection","url":"/task/weakly-supervised-object-detection","datasets_with_task":"/datasets/task/weakly-supervised-object-detection"}],"languages":[],"variants":["PeopleArt"],"data_loaders":[{"repo":"https://github.com/BathVisArtData/PeopleArt","url":"https://github.com/BathVisArtData/PeopleArt","frameworks":[]}],"num_papers_in_archive":12,"source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28"},"benchmarks":[{"leaderboard":"/sota/object-detection-on-peopleart","task":"Object Detection","dataset_variant":"PeopleArt","rows":6,"metrics":["mAP","mAP@0.5","mAP@0.75"],"first_row_in_archive_order":{"model":"PVT (Pyramid Vision Transformer; trained on PeopleArt and PopArt)","paper":"/paper/poses-of-people-in-art-a-data-set-for-human","metrics":{"mAP":"49.7","mAP@0.5":"80.5","mAP@0.75":"51.8"},"code_links":[]},"note":"rows are the archive's own order at snapshot; nothing here re-ranks them"},{"leaderboard":"/sota/weakly-supervised-object-detection-on-3","task":"Weakly Supervised Object Detection","dataset_variant":"PeopleArt","rows":2,"metrics":["MAP"],"first_row_in_archive_order":{"model":"Polyhedral MI-max","paper":"/paper/multiple-instance-learning-on-deep-features","metrics":{"MAP":"58.3"},"code_links":[{"title":"ngonthier/Mi_max","url":"https://github.com/ngonthier/Mi_max"},{"title":"nicaogr/Mi_max","url":"https://github.com/nicaogr/Mi_max"}]},"note":"rows are the archive's own order at snapshot; nothing here re-ranks them"}],"papers_with_a_benchmark_row":[{"paper":"/paper/poses-of-people-in-art-a-data-set-for-human","title":"Poses of People in Art: A Data Set for Human Pose Estimation in Digital Art History","date":"2023-01-12","rows_on_this_dataset":4,"code_links":0,"syntology":null},{"paper":"/paper/improving-object-detection-in-art-images","title":"Improving Object Detection in Art Images Using Only Style Transfer","date":"2021-02-12","rows_on_this_dataset":1,"code_links":1,"syntology":null},{"paper":"/paper/multiple-instance-learning-on-deep-features","title":"Multiple instance learning on deep features for weakly supervised object detection with extreme domain shifts","date":"2020-08-03","rows_on_this_dataset":1,"code_links":2,"syntology":null},{"paper":"/paper/weakly-supervised-object-detection-in","title":"Weakly Supervised Object Detection in Artworks","date":"2018-10-05","rows_on_this_dataset":1,"code_links":2,"syntology":null},{"paper":"/paper/detecting-people-in-artwork-with-cnns","title":"Detecting People in Artwork with CNNs","date":"2016-10-27","rows_on_this_dataset":1,"code_links":1,"syntology":null}],"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."}