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NT‑VOT211 is a large‑scale night‑time visual object tracking benchmark created by Xinjiang University and other institutions. The dataset contains 211 diverse videos, totaling 211,000 meticulously annotated frames, covering eight attributes, and is designed to evaluate tracking algorithms under night‑time conditions. It was built to address the lack of suitable night‑time data in existing benchmarks. NT‑VOT211 finds applications in security surveillance, autonomous driving, and wildlife protection, especially for object tracking in low‑light environments.
