VisDrone is a large-scale drone visual target detection and tracking benchmark dataset released by the AISKYEYE team of Tianjin University. It aims to help develop and evaluate computer vision tasks such as target detection, object tracking and image segmentation.

The dataset contains high-resolution images and videos collected by drones in urban and suburban environments in various cities in China, covering 6 categories (such as people, vehicles, buildings, animals, etc.). The data is shot under different lighting conditions, angles, and motion modes, and provides detailed YOLO format image data and labels, which are suitable for computer vision tasks such as target detection, tracking, and pose estimation, especially in drone monitoring scenarios.