Datasets › LIP
LIP (Look into Person)
The LIP (Look into Person) dataset is a large-scale dataset focusing on semantic understanding of a person. It contains 50,000 images with elaborated pixel-wise annotations of 19 semantic human part labels and 2D human poses with 16 key points. The images are collected from real-world scenarios and the subjects appear with challenging poses and view, heavy occlusions, various appearances and low resolution.
Source: http://sysu-hcp.net/lip/ Image Source: http://sysu-hcp.net/lip/
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 | ||||
|---|---|---|---|---|---|---|
| Semantic Segmentation | LIP val | Hulk(Finetune, ViT-L) mIoU 66.02% | Hulk: A Universal Knowledge Translator for Human-Centric Tasks | opengvlab/humanbench +1 | 13 | Compare |
Papers archive 2025-07-28
10 shown of 10 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 61. 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
Custom (research, non-research, non-commercial)
Modalities archive 2025-07-28
Languages archive 2025-07-28
Variants archive 2025-07-28
- LIP val
- LIP
2 variant names, as the archive lists them.
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