AU-AIR Dataset API

Dataset

The AU-AIR is a multi-modal aerial dataset captured by a UAV. Having visual data, object annotations, and flight data (time, GPS, altitude, IMU sensor data, velocities), AU-AIR meets vision and robotics for UAVs.

https://bozcani.github.io/auairdataset

Specifications

• 8 raw RGB videos (more than 2 hours in total)
• 32,283 extracted and labelled frames
• Bounding box annotations for eight objects related to traffic:
  • human, car, van, truck, bike, motorbike, bus, trailar
• Time, GPS, altitude, IMU sensor data and linear velocities of the drone are avaliable for each extracted frame.

Download

Please download both the AU-AIR images and annotations to run the demo and use the API:

Images: https://drive.google.com/open?id=1pJ3xfKtHiTdysX5G3dxqKTdGESOBYCxJ (2.2 GB)

Annotations: https://drive.google.com/open?id=1boGF0L6olGe_Nu7rd1R8N7YmQErCb0xA (3.9 MB)

Dependencies

You will need common dependencies like numpy and opencv.

Installation

To install the package from source, simply clone or download the repository to your machine git clone https://github.com/bozcani/auairdataset

cd auairdataset

python setup.py install

References

[1] I. Bozcan and E. Kayacan, "AU-AIR: A Multi-modal Unmanned Aerial Vehicle Dataset for Low Altitude Traffic Surveillance", submitted to IEEE International Conference on Robotics and Automation 2020.