JHU-CROWD++ is a large-scale crowd counting dataset containing 4372 images and 1.51 million annotations. The dataset was collected under various scenes and environmental conditions, and provides a relatively rich set of annotations, such as dots, approximate bounding boxes, blur levels, etc.