bdager/CHIRLA

Dataset Card for CHIRLA CHIRLA (Comprehensive High-resolution Identification and Re-identification for Large-scale Analysis) is a long-term, multi-camera person Re-Identification (Re-ID) and tracking dataset. It spans 7 months, 7 cameras, 22 identities, and ~1M identity-annotated bounding boxes across ~596k frames, captured in connected indoor environments. Dataset Details Dataset Description CHIRLA targets long-term appearance change (e.g.… See the full description on the dataset page: https://huggingface.co/datasets/bdager/CHIRLA.