CrowdHuman is a benchmark dataset to better evaluate detectors in crowd scenarios. The CrowdHuman dataset is large, rich-annotated and contains high diversity. CrowdHuman contains 15000, 4370 and 5000 images for training, validation, and testing, respectively.

CrowdHuman dataset. We support annotation_train.odgt and annotation_val.odgt which contains the annotations of our dataset.. What is odgt? odgt is a file format that each line of it is a JSON, this JSON contains the whole annotations for the relative image.We prefer using this format since it is reader-friendly. Annotation format