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JHU-Crowd++
The dataset contains images of crowds with varying densities and sizes. -
Focal Inverse Distance Transform Maps for Crowd Localization
The proposed FIDT map is a non-overlap map, which utilizes local maxima to represent the head's center. -
NWPU-Crowd
Crowd localization is a new computer vision task, evolved from crowd counting. Different from the latter, it provides more precise location information for each instance, not... -
ShanghaiTech
The ShanghaiTech dataset includes 330 training and 107 test videos recorded at 13 different background locations.