"High-Contrast Corridor Pedestrian (HCCP) Dataset : Video Sequences with Extreme lights and Variable Distance for Object Tracking"

"Standard object detection models often fail in environments with uncontrolled lighting. This dataset addresses that gap by providing footage of a college corridor characterized by extreme brightness variations and heavy backlighting. By capturing subjects at varying distances under these harsh conditions, the dataset offers a stress-test for visual tracking and scene analysis systems. It is ideally suited for researchers working on illumination-invariant feature extraction and robust surveillance systems"