Datasets › PASCAL-Part
PASCAL-Part
PASCAL-Part is a set of additional annotations for PASCAL VOC 2010. It goes beyond the original PASCAL object detection task by providing segmentation masks for each body part of the object. For categories that do not have a consistent set of parts (e.g., boat), it provides the silhouette annotation.
It can also serve as a set for human semantic part segmentation: It contains multiple humans per image in unconstrained poses and occlusions (1,716 for training and 1,817 for testing). It provides careful pixel-wise annotations for six body parts (i.e., head, torso, upper/lower-arms, and upper-/lower-legs).
Source: The Ultimate Theory of Human Parsing Image Source: https://www.researchgate.net/profile/Zhedong_Zheng/publication/328123707/figure/fig4/AS:704683136016384@1545020960225/Qualitative-parsing-results-on-the-Pascal-Person-Part-dataset.png
Benchmarks archive 2025-07-28
All 4 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) | Paper | Code | ||||
|---|---|---|---|---|---|---|
| Human Part Segmentation | PASCAL-Part | CDCL+Pascal mIoU 72.82 | Cross-Domain Complementary Learning Using Pose for... | kevinlin311tw/CDCL-human-part-segmentation +2 | 7 | Compare |
| Multi-Human Parsing | PASCAL-Part | NAN AP 0.5 59.70% | Understanding Humans in Crowded Scenes: Deep Nested... | open-mmlab/mmpose +1 | 3 | Compare |
| Object Detection | PASCAL Part 2010 - Animals | Attention-based Joint Detection of Object and Semantic Part mAP@0.5 87.5 | Attention-based Joint Detection of Object and Semantic Part | kevalmorabia97/Object-and-Semantic-Part-Detection-pyTorch | 1 | Compare |
| Semantic Part Detection | PASCAL Part 2010 - Animals | Attention-based Joint Detection of Object and Semantic Part mAP@0.5 52.0 | Attention-based Joint Detection of Object and Semantic Part | kevalmorabia97/Object-and-Semantic-Part-Detection-pyTorch | 1 | Compare |
Papers archive 2025-07-28
9 shown of 9 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 65. 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 | |||
|---|---|---|---|---|
| Attention-based Joint Detection of Object and Semantic Part | 1 | 2 | 5 Jul 2020 | ran 3 of 12 samples (9 unverified) |
| Self-Correction for Human Parsing | 2 | 1 | 22 Oct 2019 | ran 2 of 3 samples (1 unverified) |
| Cross-Domain Complementary Learning Using Pose for Multi-Person Part Segmentation | 3 | 2 | 11 Jul 2019 | not harvested |
| Weakly and Semi Supervised Human Body Part Parsing via Pose-Guided Knowledge Transfer | 1 | 1 | 11 May 2018 | not harvested |
| Understanding Humans in Crowded Scenes: Deep Nested Adversarial Learning and A New Benchmark for Multi-Human Parsing | 2 | 1 | 10 Apr 2018 | not harvested |
| Holistic, Instance-Level Human Parsing | 1 | 1 | 11 Sep 2017 | not harvested |
| Joint Multi-Person Pose Estimation and Semantic Part Segmentation | 0 | 2 | 10 Aug 2017 | not harvested |
| Instance-aware Semantic Segmentation via Multi-task Network Cascades | 2 | 1 | 14 Dec 2015 | not harvested |
| Zoom Better to See Clearer: Human and Object Parsing with Hierarchical Auto-Zoom Net | 0 | 1 | 21 Nov 2015 | not harvested |
Dataset loaders archive 2025-07-28
No loader listed in the archive.
Tasks archive 2025-07-28
License archive 2025-07-28
Unknown
Modalities archive 2025-07-28
Languages archive 2025-07-28
No language tagged.
Variants archive 2025-07-28
- PASCAL-Part
- PASCAL Part 2010 - Animals
2 variant names, as the archive lists them.
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