AU-AIR
AU‑AIR is a multimodal UAV aerial dataset that includes visual data, object annotations, and flight telemetry (time, GPS, altitude, IMU sensor data, velocity), suitable for UAV vision and robotics research.
Dataset description and usage context
Dataset Overview
Dataset Name
AU‑AIR Dataset
Description
AU‑AIR is a multimodal UAV aerial dataset containing visual data, object annotations, and flight telemetry (time, GPS, altitude, IMU sensor data, velocity) for UAV vision and robotics applications.
Specification
- 8 raw RGB videos (total duration > 2 h)
- 32,283 extracted and annotated frames
- Bounding‑box labels for eight traffic‑related objects: person, car, van, truck, bicycle, motorcycle, bus, trailer
- Each frame provides timestamp, GPS, altitude, IMU sensor data, and linear velocity of the UAV
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Output
The dataset is split into training, validation, and test sets, with a separate file for class names.
Conversion Tool
A TFRecord conversion script is provided with the following arguments:
--annotations: path to annotation file (default./data/annotations.json)--data_dir: directory of image data (default./data/images/)--output_dir: output directory (default./data/tfrecords)--splits: list of split percentages (default80,10)
Dependencies
The dataset relies on common libraries such as numpy and opencv.
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