CARG-uOttawa/DrIFT
Visual Drone Detection Dataset for Comprehensive Study of Domain shift
This dataset helps researchers and engineers develop and test drone detection systems. It provides a wide array of visual information, including both real-world and computer-generated drone imagery across various backgrounds and viewing angles. Security and surveillance system developers or academic researchers focused on aerial threat detection would use this.
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Use this if you are building or evaluating machine learning models to identify and track drones from visual data under diverse conditions, especially when dealing with changes in environment or viewpoint.
Not ideal if you need non-visual drone detection data, such as audio or radar, or if your primary focus is on drone control systems rather than detection.
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Apr 15, 2025
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