Enhancing road infrastructure management efficiency using Yolov8 model for pavement damage detection

Key Points

• Pavement damage detection was significantly improved using the Yolov8 model, enhancing management efficiency for road infrastructure.
• Detection algorithms like Yolov8 achieve high accuracy in identifying pavement damage, crucial for timely repairs.
• Analysis utilized a dataset of pavement images for training the Yolov8 model and validating its performance in real-world settings.
• Improved detection methods may enable effective maintenance strategies and ensure better road safety standards.