This project focuses on building an efficient Traffic Sign Recognition (TSR) system using the YOLOv8 model. Designed for real-time object detection, the model identifies and classifies traffic signs to enhance autonomous driving and smart traffic systems. Using a Kaggle dataset with robust data augmentation and fine-tuning, the project achieves high precision and recall metrics, enabling accurate detection even under challenging conditions. .
