Device and method for generating vehicle damage classification model, and computer readable storage medium

Abstract

The invention discloses a device for generating a vehicle damage classification model. The device comprises a memory and a processor; the memory stores a model generating program which can run in theprocessor. When being executed by the processor, the program implements the following steps of preparing an original vehicle damage photo for each vehicle damage part, and constructing a sample library after labeling and preprocessing are carried out; by taking sample pictures in the sample library as input data of a vgg network, performing pruning processing on the vgg network according to a preset pruning algorithm and a preset compression rate; and building the vehicle damage classification model based on the pruned vgg network, and training the vehicle damage classification model by usingthe sample pictures in the sample library to determine model parameters of the model. The invention furthermore provides a method for generating the vehicle damage classification model and a computerreadable storage medium. The technical problem that vehicle damage assessment cannot be carried out in a mobile device through a convolutional neural network model in the prior art is solved.

Description

technical field [0001] The present invention relates to the technical field of vehicle damage assessment, in particular to a vehicle damage classification model generation device, method and computer-readable storage medium. Background technique [0002] At present, in the field of auto insurance claims, in order to improve the efficiency of claims, many auto insurance companies use image classification and recognition technology to automatically identify the vehicles and damaged parts in the uploaded claims photos in the auto insurance claims system. However, the existing image classification and Many recognition technologies use deep convolutional neural network models. For example, the convolutional neural network model based on the vgg network is used to identify and determine the damage of sample pictures. However, the existing vgg network has too many parameters and occupies too much memory. Many, cannot be ported to use in mobile devices. As a result, it is impossibl...

AI Technical Summary

Problems solved by technology

[0003] The present invention provides a device, method and computer-readable storage medium for generating a vehicle damage classification model, the main purpose of which is to solve the technical problem in the prior art that the vehicle damage cannot be determined through the convolutional neural network model on the mobile device

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