DukeMTMC

DukeMTMC is a comprehensive benchmark dataset created for research in computer vision, specifically for tracking multiple pedestrians across different camera views. It consists of videos captured in a busy university environment, with the precise locations and identities of individuals annotated. This dataset enables researchers to develop and evaluate algorithms that can automatically recognize and follow people as they move through various cameras, which is essential for applications like security and surveillance. By providing diverse, real-world scenarios, DukeMTMC helps advance the accuracy and robustness of multi-camera tracking systems.