Dataset Groups Activity Stream CrowdHuman CrowdHuman is a challenging benchmark to evaluate the ability of crowded scene detection of detectors, which contains about 15k training images and 4k images for evaluation. BibTex: @dataset{Shuai_Shao_and_Zijian_Zhao_and_Boxun_Li_and_Tete_Xiao_and_Gang_Yu_and_Xiangyu_Zhang_and_Jian_Sun_2024, abstract = {CrowdHuman is a challenging benchmark to evaluate the ability of crowded scene detection of detectors, which contains about 15k training images and 4k images for evaluation.}, author = {Shuai Shao and Zijian Zhao and Boxun Li and Tete Xiao and Gang Yu and Xiangyu Zhang and Jian Sun}, doi = {10.57702/4kbnm9pv}, institution = {No Organization}, keyword = {'Crowd Detection', 'CrowdHuman', 'Crowded Scene Detection', 'Crowded Scenes', 'Human Detection', 'Object Detection', 'bounding boxes', 'crowd', 'human detection', 'object detection', 'tracking'}, month = {dec}, publisher = {TIB}, title = {CrowdHuman}, url = {https://service.tib.eu/ldmservice/dataset/crowdhuman}, year = {2024} }