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 DetectorBenchmarks
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CrowdHuman (full body)
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InternImage-H
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CrowdHuman
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S-RCNN+Ours
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Papers
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