Person Re-ID Datasets

Person Re-Identification (Re-ID) datasets are collections of images or videos used to develop and test systems that can recognize and track the same individual across different locations and camera views. These datasets contain numerous photos of people taken from various angles and environments, helping algorithms learn to accurately match individuals despite changing backgrounds, lighting, and poses. They are essential for improving security, surveillance, and urban planning by enabling reliable identification of individuals over time and space.