UCF-QNRF
Introduced by Idrees et al. in Composition Loss for Counting, Density Map Estimation and Localization in Dense Crowds
The UCF-QNRF dataset is a crowd counting dataset and it contains large diversity both in scenes, as well as in background types. It consists of 1535 images high-resolution images from Flickr, Web Search and Hajj footage. The number of people (i.e., the count) varies from 50 to 12,000 across images.
Source: Understanding the impact of mistakes on background regions in crowd counting
Papers
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