JHU-CROWD++: Large-Scale Crowd Counting Dataset and A Benchmark Method

Vishwanath A Sindagi,Rajeev Yasarla,Vishal M Patel

IEEE Transactions on Pattern Analysis and Machine Intelligence（2022）

引用 202|浏览137

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摘要

We introduce a new large scale unconstrained crowd counting dataset (JHU-CROWD++) that contains “4,372” images with “1.51 million” annotations. In comparison to existing datasets, the proposed dataset is collected under a variety of diverse scenarios and environmental conditions. Specifically, the dataset includes several images with weather-based degradations and illumination variations, making i...

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关键词

Annotations,Task analysis,Training,Head,Meteorology,Benchmark testing,Learning systems

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