Datasets › PETA
PETA (Pedestrian Attribute)
The PEdesTrian Attribute dataset (PETA) is a dataset fore recognizing pedestrian attributes, such as gender and clothing style, at a far distance. It is of interest in video surveillance scenarios where face and body close-shots and hardly available. It consists of 19,000 pedestrian images with 65 attributes (61 binary and 4 multi-class). Those images contain 8705 persons.
Source: Attribute Aware Pooling for Pedestrian Attribute Recognition Image Source: http://mmlab.ie.cuhk.edu.hk/projects/PETA.html
Benchmarks archive 2025-07-28
All 1 leaderboard 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) | Paper | Code | ||||
|---|---|---|---|---|---|---|
| Pedestrian Attribute Recognition | PETA | UniHCP (FT) Accuracy 88.78% | UniHCP: A Unified Model for Human-Centric Perceptions | opengvlab/unihcp | 6 | 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 74. The Syntology column is from Syntology's graph (read 2026-09-24), stated per sample; it is not part of any archive number.
| Date | Samples run Syntology | |||
|---|---|---|---|---|
| C2T-Net: Channel-Aware Cross-Fused Transformer-Style Networks for Pedestrian Attribute Recognition | 1 | 1 | 26 Dec 2023 | not harvested |
| UniHCP: A Unified Model for Human-Centric Perceptions | 1 | 1 | 6 Mar 2023 | ran 7 of 13 samples (6 unverified) |
| Rethinking of Pedestrian Attribute Recognition: Realistic Datasets with Efficient Method | 2 | 2 | 25 May 2020 | not harvested |
| Improving Pedestrian Attribute Recognition With Weakly-Supervised Multi-Scale Attribute-Specific Localization | 2 | 1 | 10 Oct 2019 | ran 1 of 3 samples (2 unverified) |
| HydraPlus-Net: Attentive Deep Features for Pedestrian Analysis | 2 | 1 | 28 Sep 2017 | not harvested |
Dataset loaders archive 2025-07-28
No loader listed in the archive.
Tasks archive 2025-07-28
License archive 2025-07-28
Custom (research-only, non-commercial)
Modalities archive 2025-07-28
Languages archive 2025-07-28
No language tagged.
Variants archive 2025-07-28
- PETA
1 variant name, as the archive lists them.
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