Vehicle classification method based on deep learning

In this paper, I propose a vehicle classification method based on deep learning, which uses attention-enhanced convolutional neural network (CNN) to realize high-precision vehicle recognition. The model automatically focuses on key vehicle features, significantly improves classification accuracy, and reduces computing costs through structural and training strategy optimization, making it suitable for mobile devices and edge computing. The experimental results show that the model performs well in the identification of various types of vehicles, especially in a specific category of 100% accuracy, showing the application potential in intelligent transportation and vehicle management services.