-
Multi-source multi-scale counting in extremely dense crowd images
The UCF CC 50 dataset contains 50 images collected from publicly available web images. -
Cross-scene crowd counting via deep convolutional neural networks
The ShanghaiTech dataset contains 2 subsets: Part A mainly consists of dense crowd examples and Part B mainly focuses on sparse crowd examples.