Datasets › TJU-DHD
TJU-DHD
TJU-DHD is a high-resolution dataset for object detection and pedestrian detection. The dataset contains 115,354 high-resolution images (52% images have a resolution of 1624×1200 pixels and 48% images have a resolution of at least 2,560×1,440 pixels) and 709,330 labelled objects in total with a large variance in scale and appearance.
Source: https://github.com/tjubiit/TJU-DHD Image Source: https://github.com/tjubiit/TJU-DHD
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) | Paper | Code | ||||
|---|---|---|---|---|---|---|
| Pedestrian Detection | TJU-Ped-traffic | LSFM R (miss rate) 18.7 | Localized Semantic Feature Mixers for Efficient... | — | 6 | Compare |
| Pedestrian Detection | TJU-Ped-campus | EGCL R (miss rate) 24.84 | Pedestrian Detection by Exemplar-Guided Contrastive Learning | — | 4 | Compare |
Papers archive 2025-07-28
6 shown of 6 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.
| Date | Samples run Syntology | |||
|---|---|---|---|---|
| Localized Semantic Feature Mixers for Efficient Pedestrian Detection in Autonomous Driving | 0 | 1 | 1 Jan 2023 | not harvested |
| Pedestrian Detection by Exemplar-Guided Contrastive Learning | 0 | 2 | 17 Nov 2021 | not harvested |
| Detection in Crowded Scenes: One Proposal, Multiple Predictions | 3 | 2 | 20 Mar 2020 | ran 0 of 10 samples (10 unverified) |
| FCOS: Fully Convolutional One-Stage Object Detection | 87 | 2 | 2 Apr 2019 | ran 13 of 40 samples (27 unverified; 18 pointer-only for licence) |
| Focal Loss for Dense Object Detection | 234 | 2 | 7 Aug 2017 | ran 11 of 11 samples (0 unverified; 6 pointer-only for licence) |
| Feature Pyramid Networks for Object Detection | 85 | 1 | 9 Dec 2016 | ran 16 of 51 samples (35 unverified; 11 pointer-only for licence) |
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
- TJU-DHD
- TJU-Ped-campus
- TJU-Ped-traffic
3 variant names, as the archive lists them.
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