Develop a real-time vehicle recognition application

  • Dung Thi Dang
  • Tung Xuan Bui
  • Dang Khac Nguyen
  • Dang Duy Le
  • Thanh Vinh Truong
Từ khóa: YOLO, vehicle, FPS, Mean Absolute Error, optimal performance.

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

điểm /   đánh giá
Phát hành ngày
2025-03-30
In ra
Số. 12 (2025)
Chuyên mục
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