AOD 4: Dataset for Air Borne Object Detection

Published: 11 June 2024| Version 1 | DOI: 10.17632/cd5z895tr2.1
Vama Soni, Dhruval Shah, Jeel Joshi


The detection of airborne objects has largely been unexplored or is only limited to drones. This dataset provides a huge set of airborne objects, comprising 22,516 images categorised into four classes namely; airplanes, helicopters, drones, and birds. The dataset is made so as to include complex backgrounds to showcase the varying environmental conditions present in the real world. AOD-4 dataset consists of images with sky, cloudy, terrestrial backgrounds, as well as nighttime, rainy, and snowy conditions. The dataset also includes instances where multiple objects are present in the frame aiming towards Multi-Object Detection capabilities. Researchers can leverage this dataset to develop and refine algorithms for airborne object detection and tracking, with potential applications spanning military surveillance, border security, and public safety.



Object Detection, Helicopter, Drone (Aircraft), Airplane