JHU-CROWD++
收藏帕依提提2024-03-04 收录
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资源简介:
A large-scale unconstrained crowd counting dataset. A comprehensive dataset with 4,372 images and 1.51 million annotations. In comparison to existing datasets, the proposed dataset is collected under a variety of diverse scenarios and environmental conditions. In addition, the dataset provides comparatively richer set of annotations like dots, approximate bounding boxes, blur levels, etc.
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帕依提提



