Navigating Philippine Streets: Implementing YOLOv8 with Ghost Convolutions for Traffic Sign Detection

• Main Authors: Aquino, Alec Angelo A., Abu, Patricia Angela R, Alampay, Raphael
• Format: text
• Published: Archīum Ateneo 2024
• Subjects: Accuracy; Costs; Navigation; Computational modeling; Size measurement; Road safety; Real-time systems; Computer Engineering; Computer Sciences; Electrical and Computer Engineering; Engineering; Physical Sciences and Mathematics
• Online Access: https://archium.ateneo.edu/discs-faculty-pubs/426; https://doi.org/10.1109/ICCE-Taiwan62264.2024.10674537
• Institution: Ateneo De Manila University

This study implements YOLOv8 as a Traffic Sign Detection and Recognition System (TSDR) designed specifically for traffic signs indigenous to the Philippines. Dashcam footage containing traffic signs local to the Philippines were annotated to create a custom dataset comprised of 7 different traffic s...