MVTD: Maritime Visual Tracking Dataset Overview MVTD (Maritime Visual Tracking Dataset) is a large scale benchmark dataset designed specifically for single object visual tracking (VOT) in maritime environments . It addresses challenges unique to maritime scenes: such as water reflections, low contrast objects, dynamic backgrounds, scale variation, and severe illumination changes—which are not adequately covered by generic tracking datasets. The dataset contains 182 annotated video sequences with approximately 150,000 frames , spanning four maritime object categories : Boat Ship Sailboat Unmanned Surface Vehicle (USV) MVTD is suitable for training, fine tuning, and benchmarking visual object tracking algorithms under realistic maritime conditions. Dataset Statistics Total sequences: 182 Total annotated frames: 150,058 Frame rate: 30 FPS and 60 FPS Resolution range: Min: 1024 × 1024 Max: 1920 × 1440 Average sequence length: ~824 frames Sequence length range: 82 – 4747 frames Object categories: 4 Dataset Structure The dataset follows the GOT 10k single object tracking format , enabling easy integration with existing tracking pipelines. MVTD/ ├── train/ │ ├── video1/ │ │ ├── frame0001.…
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