The Road Sign Recognition project is a real-time detection system designed to recognize road signs across 43 different classes. The project leverages the YOLOv5 model, which is trained on the GTSRB - German Traffic Sign Recognition Benchmark dataset.

This repository is the code that participated in the traffic sign detection contest conducted by Halla University and Korea Road Traffic Authority and won the 'Excellence Prize'.

A Road Sign Detection Program with complete ipynb.

🚥 Road sign detection using pytorch