AU-AIR
2D Box
Pose
UAV
|...
License: CC BY 4.0

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

Data Summary
Type
Image, GPS, IMU, Video,
Amount
--
Size
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Provided by
Ilker Bozcan
Ph.D. researcher in deep learning and computer vision at Aarhus University (Denmark). Remote engineer for passionate teams to design, develop and evaluate AI-based solutions.
Issue
openDataset.similar_dataset
UAVDT
UAV
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