Vehicle model recognition method and system based on improved deep learning

The invention relates to a vehicle model recognition method and system based on improved deep learning. The method comprises the steps that a traffic gate vehicle data set is cut, sorted and classified to obtain classified data, and the classified data comprises a training set, a verification set and a test set; training the improved deep learning Effective Net network according to the training set to obtain a trained deep learning network, the training of the deep learning Effective Net network being based on adjustment of a balance relationship among the network depth, the network width andthe resolution; optimizing the trained deep learning network according to the verification set to obtain an optimal deep learning network; and inputting the test set into the optimal deep learning network for recognition, and performing classification by adopting a softmax classifier to obtain a network recognition result. According to the invention, the vehicle model recognition precision can beimproved. 本发明涉及一种基于改进深度学习的