A Hybrid Deep Learning Framework for Automated Road Damage Detection Using UAV Images
This project presents an automated road damage detection system that uses Unmanned Aerial Vehicle images and deep learning techniques to identify defects such as cracks and potholes, demonstrating that UAV-assisted deep learning offers a reliable and efficient solution for modern road infrastructure maintenance and sup...