UAVDT is a large scale challenging UAV Detection and Tracking benchmark (i.e., about 80, 000 representative frames from 10 hours raw videos) for 3 important fundamental tasks, i.e., object DETection (DET), Single Object Tracking (SOT) and Multiple Object Tracking (MOT).

The dataset is captured by UAVs in various complex scenarios. The objects of interest in this benchmark are vehicles. The frames are manually annotated with bounding boxes and some useful attributes, e.g., vehicle category and occlusion.

The UAVDT benchmark consists of 100 video sequences, which are selected from over 10 hours of videos taken with an UAV platform at a number of locations in urban areas, representing various common scenes including squares, arterial streets, toll stations, highways, crossings and T-junctions. The videos are recorded at 30 frames per seconds (fps), with the JPEG image resolution of 1080 × 540 pixels.