Anti-drone
This study provides a UAV target dataset for small target UAV detection. The dataset includes 10,800 images taken by high-definition cameras and their annotation files. Each image includes a target drone model DJI Mini 4 Pro. The data set includes a variety of shooting angles and is classified, including 0-30°, 30-60°, and 60-90°. It also includes good daytime lighting conditions and poor evening lighting conditions. According to our experiments, this dataset is sufficiently complex and of high quality.
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The deployment of unmanned aerial vehicles (UAV) for logistics and other civil purposes is consistently disrupting airspace security. Consequently, there is a scarcity of robust datasets for the development of real-time systems that can checkmate the incessant deployment of UAVs in carrying out criminal or terrorist activities. VisioDECT is a robust vision-based drone dataset for classifying, detecting, and countering unauthorized drone deployment using visual and electro-optical infra-red detection technologies.
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