ETH (ETH Pedestrian)
Introduced by Andreas Ess et al. in Depth and Appearance for Mobile Scene Analysis
ETH is a dataset for pedestrian detection. The testing set contains 1,804 images in three video clips. The dataset is captured from a stereo rig mounted on car, with a resolution of 640 x 480 (bayered), and a framerate of 13--14 FPS.
Source: Scale-aware Fast R-CNN for Pedestrian DetectionBenchmarks
| Trend | Task | Dataset Variant | Best Model | Paper | Code |
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ETH/UCY
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AMEND
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ETH
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Social-Implicit
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ETH BIWI Walking Pedestrians dataset
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Social Ways
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ETH/UCY
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PECNet
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ETH/UCY
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PECNet
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Papers
| Paper | Code | Results | Date | Stars |
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