Fine-Grained Crowd Counting Dataset

Dataset

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 available2021
PublisherVideo, Image, and Sound Analysis Lab (VISAL), City University of Hong Kong
Date of data production2021

Access Dataset

  • 1 RGC 21 - Publication in refereed journal

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