Image classification method, device, storage medium and electronic equipment

Abstract

The embodiment of the present application discloses an image classification method, device, storage medium, and electronic equipment, wherein the push method includes collecting multi-dimensional features corresponding to the image as samples when the operation of moving the image to the classification library is detected, and constructing The sample sets corresponding to multiple classification libraries; classify the sample sets according to the information gain of the characteristics for sample classification, so as to construct the decision tree model of the classification library, and the output of the decision tree model is the corresponding multiple classification libraries; when detected During the image classification instruction, the multi-dimensional features corresponding to the image to be classified are collected as prediction samples; the corresponding classification library is predicted according to the prediction samples and the decision tree model. In this way, the intelligent classification of images is realized, and the classification accuracy of images is improved.

Description

technical field [0001] The present application relates to the field of communication technology, and in particular to an image classification method, device, storage medium and electronic equipment. Background technique [0002] At present, with the rapid development of terminal technology, such as smartphones becoming more and more popular in people's lives, users often install a large number of applications on the smartphones, such as camera applications, game applications, map applications, and so on. [0003] Among them, after the user takes photos through the camera application, he often classifies the photos, and puts the photos into the corresponding classification folder according to the demand, so that he can quickly find them in the classification folder next time. However, when the number of photos reaches Within a certain range, manually putting each photo into the corresponding classification folder will waste the user's time, and the operation process is extrem...

AI Technical Summary

Problems solved by technology

[0003] Among them, after the user takes photos through the camera application, he often classifies the photos, and puts the photos into the corresponding classification folder according to the demand, so that he can quickly find them in the classification folder next time. However, when the number of photos reaches Within a certain range, manually putting each photo into the corresponding classification folder will waste user time, and the operation process is extremely cumbersome. Therefore, it is necessary to provide a method to solve the above problems

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