Develop a real-time vehicle recognition application

Tóm tắt

DOI: https://doi.org/10.66195/mtu.2025.12.073

In this study, we utilized the YOLO (You Only Look Once) model to evaluate the performance of real-time vehicle detection and classification. Additionally, we adjusted the learning rate parameter to achieve optimal performance. The best results were obtained with YOLOv8, achieving the highest accuracy of 95.2%, a processing speed of 50 FPS, and a Mean Absolute Error (MAE) of 2.94