UAV low-altitude dataset for multi-target detection and tracking

The UAV low-altitude dataset for multi-target detection and tracking provides a specialized benchmark designed to support research in object detection and multi-object tracking under low-altitude unmanned aerial vehicle (UAV) surveillance scenarios. The dataset contains annotated images and video sequences of pedestrians, vehicles, and other common ground targets captured from low-flying UAV platforms, reflecting challenges such as small object size, frequent occlusions, scale variations, and complex backgrounds. All samples are labeled with bounding boxes and identity information to facilitate both detection and tracking tasks. This dataset aims to advance the development of lightweight and robust algorithms for real-time UAV-based monitoring applications, including public safety, traffic management, and intelligent surveillance.