Traffic Light Detection for Self-Driving Cars using the YOLOv8 architecture

A traffic light detection dataset is used to evaluate the performance of the latest version of YOLOv8. Using this dataset and an ideal you only look at once (yolo), we can create a data-driven traffic light detection system that has both high detection accuracy and high performance during the training and detection process. The number of accidents caused by failure to obey traffic rules and traffic lights has increased dramatically. Self-driving cars are the solution to 90% of all traffic accidents, but the software must be efficient, fast, and reliable to accurately detect traffic signs. YOLO is the most advanced object recognition technology.