Training method of vehicle logo classification model, vehicle logo recognition method, device and apparatus

Abstract

The invention relates to a training method of a vehicle logo classification model, a vehicle logo recognition method, device and apparatus. The vehicle logo classification model training method comprises the steps of obtaining a plurality of training sample images, and fusing any two training sample images in the plurality of training sample images according to a preset fusion proportion to obtaina fused sample image; inputting the fused sample image into a vehicle logo classification model for classification processing to obtain a vehicle logo classification result; respectively calculatinga vehicle logo classification result and a first classification loss and a second classification loss of category labels of any two training sample images, and fusing the first classification loss andthe second classification loss according to a fusion proportion to obtain a fusion loss; and adjusting model parameters in the vehicle logo classification model according to the fusion loss, and circularly training until the vehicle logo classification model is converged. Discrete samples can be continuous, the smoothness in neighborhoods is improved, and the problem of overfitting is solved; andmeanwhile, the model training efficiency is improved.

Description

technical field [0001] The present application relates to the technical field of image recognition, in particular to a training method for a vehicle logo classification model, a vehicle logo recognition method, device and equipment. Background technique [0002] With the improvement of people's living standards, the number of motor vehicles has also increased dramatically, and the workload of the annual vehicle inspection of the vehicle management office has also increased. In the process of annual vehicle inspection, vehicle logo recognition is a more important part. Early car logo recognition work was usually judged manually, but its labor cost was high, it was greatly affected by subjective factors, and its efficiency was low. At present, the field of artificial intelligence is widely used, and the use of artificial intelligence (such as the use of neural network models) for vehicle logo recognition can greatly improve the efficiency and accuracy of recognition. [0003]...

AI Technical Summary

Problems solved by technology

[0004] Based on this, it is necessary to provide a training method for a vehicle logo classification model, a vehicle logo recognition method, device and equipment for the problem of low accuracy in vehicle logo recognition using a trained neural network model in traditional technologies

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