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Datasets/Wildtrack

Wildtrack

Introduced 2018-06-01

Wildtrack is a large-scale and high-resolution dataset. It has been captured with seven static cameras in a public open area, and unscripted dense groups of pedestrians standing and walking. Together with the camera frames, we provide an accurate joint (extrinsic and intrinsic) calibration, as well as 7 series of 400 annotated frames for detection at a rate of 2 frames per second. This results in over 40 000 bounding boxes delimiting every person present in the area of interest, for a total of more than 300 individuals.

Benchmarks

16k/MODA16k/MODP16k/Recall2D Classification/MODA2D Classification/MODP2D Classification/Recall2D Object Detection/MODA2D Object Detection/MODP2D Object Detection/Recall3D/MODA3D/MODP3D/Recall3D Object Detection/MODA3D Object Detection/MODP3D Object Detection/RecallMulti-Object Tracking/IDF1Multi-Object Tracking/MOTAObject Detection/MODAObject Detection/MODPObject Detection/RecallObject Tracking/IDF1Object Tracking/MOTA

Statistics

Papers
65
Benchmarks
22

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Tasks

16k2D Classification2D Object Detection3D3D Object DetectionMulti-Object TrackingMultiview DetectionObject DetectionObject Tracking