Overview

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 images

• More than 2 hours raw videos

• 32,823 labelled frames

• 132,034 object instances

• 8 object categories related to traffic surveillance

• Frames are also labelled with time, GPS, IMU, altitude, linear velocities of the UAV

Citation

Please use the following citation when referencing the dataset:

@article{bozcan2020air,
title={AU-AIR: A Multi-modal Unmanned Aerial Vehicle Dataset for Low Altitude Traffic Surveillance},
author={Bozcan, Ilker and Kayacan, Erdal},
journal={arXiv preprint arXiv:2001.11737},
year={2020}
}

License

CC BY 4.0