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Datasets/CityStreet

CityStreet

Introduced 2019-06-01

Datasets for multi-view crowd counting in wide-area scenes. Includes our CityStreet dataset, as well as the counting and metadata for multi-view counting on PETS2009 and DukeMTMC. CityStreet is a real-world city scene dataset collected around the intersection of a crowded street. The scene size of the dataset is around 58m×72m. The ground plane map resolution is 320×384.

Benchmarks

16k/MODA (2m)16k/MODP (2m)16k/Precision (2m)16k/Recall (2m)16k/F1_score (2m)2D Classification/MODA (2m)2D Classification/MODP (2m)2D Classification/Precision (2m)2D Classification/Recall (2m)2D Classification/F1_score (2m)2D Object Detection/MODA (2m)2D Object Detection/MODP (2m)2D Object Detection/Precision (2m)2D Object Detection/Recall (2m)2D Object Detection/F1_score (2m)3D/MODA (2m)3D/MODP (2m)3D/Precision (2m)3D/Recall (2m)3D/F1_score (2m)3D Object Detection/MODA (2m)3D Object Detection/MODP (2m)3D Object Detection/Precision (2m)3D Object Detection/Recall (2m)3D Object Detection/F1_score (2m)Object Detection/MODA (2m)Object Detection/MODP (2m)Object Detection/Precision (2m)Object Detection/Recall (2m)Object Detection/F1_score (2m)

Statistics

Papers
12
Benchmarks
30

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Tasks

16k2D Classification2D Object Detection3D3D Object DetectionCrowd CountingMultiview DetectionObject Detection