Drone Dataset: Amateur Unmanned Air Vehicle Detection
Published: 25 November 2019| Version 4 | DOI: 10.17632/zcsj2g2m4c.4
Contributors:
Mehmet Çağrı Aksoy, , , Description
This dataset is prepared for our 2019 year "Amateur Drone Detection and Tracking" project. There are more than 4000 amateur drone pictures in the dataset, which is usually trained with amateur (like dji phantom) drones. In addition, the dataset contains non-drone, drone-like "negative" objects. This dataset was used with Yolov2-tiny, Yolov3-voc versions. Generally suitable for working with Yolo architecture and darknet framework.
Files
Steps to reproduce
These data is gathered from youtube drone videos and google image search. We have create images from videos to obtain the dataset.
Institutions
Anadolu Universitesi
Categories
Engineering, Aerospace Engineering, Object Detection, Deep Learning, Unmanned Vehicle, Drone (Aircraft)