TJU-DHD
Introduced by Pang et al. in TJU-DHD: A Diverse High-Resolution Dataset for Object Detection
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-DHDBenchmarks
| Trend | Task | Dataset Variant | Best Model | Paper | Code |
|---|---|---|---|---|---|
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TJU-Ped-traffic
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LSFM
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TJU-Ped-campus
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EGCL
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Papers
| Paper | Code | Results | Date | Stars |
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