COCO Irregular Occlusion Dataset(CIOD)
Published: 25 June 2025| Version 1 | DOI: 10.17632/c8gv5rygm9.1
Contributors:
Ming Yan, Can PingDescription
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.
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Categories
People Tracking, Personal Identification, Object Tracking (Computer Vision)