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Datasets/CVCS

CVCS

Cross-View Cross-Scene Multi-View Crowd Counting Dataset

Introduced 2022-05-03

CVCS is a synthetic multi-view people dataset, containing 31 scenes, where 23 are for training and the rest 8 for testing. The scene size varies from about 10m∗20m to 90m∗80m. Each scene contains 100 multi-view frames. The ground plane map resolution is 900×800, where each grid stands for 0.1 meters in the real world. In training, 5 views are randomly selected 5 times in each iteration per scene frame, and the same view number is randomly selected 21 times in evaluation.

Benchmarks

16k/MODA (0.5m)16k/F1_score (0.5m)16k/MODA (1m)16k/MODP (1m)16k/Precision (1m)16k/Recall (1m)16k/F1_score (1m)2D Classification/MODA (0.5m)2D Classification/F1_score (0.5m)2D Classification/MODA (1m)2D Classification/MODP (1m)2D Classification/Precision (1m)2D Classification/Recall (1m)2D Classification/F1_score (1m)2D Object Detection/MODA (0.5m)2D Object Detection/F1_score (0.5m)2D Object Detection/MODA (1m)2D Object Detection/MODP (1m)2D Object Detection/Precision (1m)2D Object Detection/Recall (1m)2D Object Detection/F1_score (1m)3D/MODA (0.5m)3D/F1_score (0.5m)3D/MODA (1m)3D/MODP (1m)3D/Precision (1m)3D/Recall (1m)3D/F1_score (1m)3D Object Detection/MODA (0.5m)3D Object Detection/F1_score (0.5m)3D Object Detection/MODA (1m)3D Object Detection/MODP (1m)3D Object Detection/Precision (1m)3D Object Detection/Recall (1m)3D Object Detection/F1_score (1m)Object Detection/MODA (0.5m)Object Detection/F1_score (0.5m)Object Detection/MODA (1m)Object Detection/MODP (1m)Object Detection/Precision (1m)Object Detection/Recall (1m)Object Detection/F1_score (1m)

Statistics

Papers
10
Benchmarks
42

Links

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Tasks

16k2D Classification2D Object Detection3D3D Object DetectionCrowd CountingMultiview DetectionObject Detection