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MTA (Multi‑Camera Track Auto) is a large multi‑target multi‑camera tracking dataset, containing over 2,800 person identities captured by 6 cameras, each video exceeding 100 minutes. The dataset spans both daytime and nighttime periods.

The VT‑MOT dataset was created by the Key Laboratory of Intelligent Computing and Signal Processing, Ministry of Education, at Anhui University. It is a large‑scale visible‑light and thermal‑infrared video benchmark for multi‑object tracking, containing 582 video pairs (401 k frame pairs) captured from UAVs, surveillance cameras, and handheld devices, with precise spatio‑temporal alignment and 3.99 million high‑quality bounding boxes. The dataset was produced through meticulous frame‑by‑frame alignment and double‑checked annotation, ensuring high quality and density. VT‑MOT is intended for multi‑object tracking in challenging environments, leveraging the complementary strengths of visible and thermal modalities.