Datasets > Modality > Images > CrowdHuman

CrowdHuman

Introduced by Shao et al. in CrowdHuman: A Benchmark for Detecting Human in a Crowd

CrowdHuman is a large and rich-annotated human detection dataset, which contains 15,000, 4,370 and 5,000 images collected from the Internet for training, validation and testing respectively. The number is more than 10× boosted compared with previous challenging pedestrian detection dataset like CityPersons. The total number of persons is also noticeably larger than the others with ∼340k person and ∼99k ignore region annotations in the CrowdHuman training subset.

Source: SADet: Learning An Efficient and Accurate Pedestrian Detector

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