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 Special Issue on The Sustainable Development Goals
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Vol. 9,  Special Issue (Bi-yearly)
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Road Pothole Detection Using Deep Learning with YOLOv8 Model

Abstract

This study presents a sophisticated, real-time pothole detection system leveraging YOLOv8's advanced object detectionand segmentation capabilities. By training on a meticulously annotated custom dataset, the model demonstrates high precision andrecall in diverse environmental conditions. The integration of real-time video processing showcases the system's applicability insmart city infrastructures, aiming to enhance road safety and maintenance efficiency.Keywords: Pothole Detection, YOLOv8, Deep Learning, Real-Time Processing, Road Safety, Computer Vision, Smart Cities

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