COCO Irregular Occlusion Dataset(CIOD)

The COCO Irregular Occlusion Dataset (CIOD) is a derived dataset created from the COCO dataset, focusing on irregularly-shaped occluders extracted from object masks. These occlusion samples are intended to simulate real-world complex occlusions and are specifically designed for use in occluded person re-identification (ReID) tasks. CIOD provides diverse and realistic occlusion patterns to enhance model robustness in challenging visual scenarios.