Classification method and device of image, storage medium and electronic equipment

Abstract

The embodiment of the application discloses a classification method and device of an image, a storage medium and electronic equipment. The pushing method includes: when an operation of moving an imageto a classification library is detected, collecting a multi-dimensional feature, which corresponds to the image, to use the same as a sample, and constructing a sample set corresponding to multiple classification libraries; carrying out sample classification on the sample set according to information gain of features on sample classification to construct a decision tree model of the classification libraries, wherein output of the decision tree model is the multiple corresponding classification libraries; collecting a multi-dimensional feature, which corresponds to the to-be-classified image,to use the same as a prediction sample when an image classification instruction is detected; and predicting a corresponding classification library according to the prediction sample and the decision tree model. Therefore, intelligent classification of the image is realized, and a classification accuracy rate of the image is increased.

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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