AU-AIR Dataset

AU-AIR dataset is the first multi-modal UAV dataset for object detection. It meets vision and robotics for UAVs having the multi-modal data from different on-board sensors, and pushes forward the development of computer vision and robotic algorithms targeted at autonomous aerial surveillance. AU-AIR has several features:Object detection in aerial images2 hours raw videos32,823 labelled frames132,034 object instances8 object categories related to traffic surveillanceFrames are also labelled with time, GPS, IMU, altitude, linear velocities of the UAV