Fine-Grained Crowd Counting Dataset
Dataset
Researcher(s)
- Jia WAN (Creator)
- Nikil Senthil Kumar (Creator)
- Antoni Bert CHAN (Creator)
Research Unit(s)
External organisation(s)
- Department of Computer Science
Description
Dataset for fine-grained crowd counting, which differentiates a crowd into categories based on the low-level behavior attributes of the individuals (e.g. standing/sitting or violent behavior) and then counts the number of people in each category.
Date made available | 2021 |
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Publisher | Video, Image, and Sound Analysis Lab (VISAL), City University of Hong Kong |
Date of data production | 2021 |
Link(s)
Other link(s) |
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