WiderPerson
Introduced by Zhang et al. in WiderPerson: A Diverse Dataset for Dense Pedestrian Detection in the Wild
WiderPerson contains a total of 13,382 images with 399,786 annotations, i.e., 29.87 annotations per image, which means this dataset contains dense pedestrians with various kinds of occlusions. Hence, pedestrians in the proposed dataset are extremely challenging due to large variations in the scenario and occlusion, which is suitable to evaluate pedestrian detectors in the wild.
Source: WiderPerson: A Diverse Dataset for Dense Pedestrian Detection in the Wild
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