Pothole Detection using YoloV4-Darknet on a Lebanese Road

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Object detection system to detect potholes. The system achieved 83.16% mAP and was able to process the video with 20FPS and the input frame resolution was 832x832.
It was developed at Rafik Hariri University
By Engineer Anas Al-Shaghouri
Under supervision of Dr. Rami Khatib and Eng. Samir Berjaoui
  1. Anas Al-Shaghouri
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