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PeopleArt

Introduced by Nicholas Westlake et al. in Detecting People in Artwork with CNNs1 Jan 2016 archive 2025-07-28

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

Source: Point Linking Network for Object Detection Image Source: https://www.researchgate.net/figure/Generalization-results-on-Picasso-and-People-Art-datasets-Joseph-Redmon-2016_fig12_328175597

Benchmarks archive 2025-07-28

All 2 leaderboards whose dataset resolves to this page shown (sort by any header). "First row" is the archive's own first row at snapshot, in the archive's row order; nothing here re-ranks and metric direction is not asserted.

First row (archive order)PaperCode
Object Detection PeopleArt PVT (Pyramid Vision Transformer; trained on PeopleArt and PopArt) mAP 49.7 Poses of People in Art: A Data Set for Human Pose... — 6 Compare
Weakly Supervised Object Detection PeopleArt Polyhedral MI-max MAP 58.3 Multiple instance learning on deep features for weakly... ngonthier/Mi_max +1 2 Compare

Papers archive 2025-07-28

5 shown of 5 papers with a leaderboard row on this dataset's benchmarks, newest first. The archive's own "papers using this dataset" list was never published, so this is the benchmark-backed subset; the archive's count for this dataset is 12. The Syntology column is from Syntology's graph (read 2026-09-24), stated per sample; it is not part of any archive number.

Dataset loaders archive 2025-07-28

1 loader as listed in the archive; links are outbound and not re-checked here.

Tasks archive 2025-07-28

License archive 2025-07-28

No licence recorded in the archive. Absence here is not a statement about the dataset's terms.

Modalities archive 2025-07-28

Languages archive 2025-07-28

No language tagged.

Variants archive 2025-07-28

  • PeopleArt

1 variant name, as the archive lists them.

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