Picture classification method, device, and computer-readable storage medium

A picture classification and computer program technology, applied in the Internet field, can solve the problems of low accuracy and precision of picture classification

Active Publication Date: 2019-03-12
北京朗镜科技有限责任公司
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AI Technical Summary

Problems solved by technology

[0004] Based on this, it is necessary to provide an image classification method, device, and computer-readable method for image classification due to the fact that all images that need to be classified are composed of N different target images and non-target images, resulting in low accuracy and precision of image classification. Storage media and computer equipment

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  • Picture classification method, device, and computer-readable storage medium
  • Picture classification method, device, and computer-readable storage medium
  • Picture classification method, device, and computer-readable storage medium

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[0046] In order to make the purpose, technical solution and advantages of the present application clearer, the present application will be further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific implementation manners described here are only used to explain the present application, and do not limit the protection scope of the present application.

[0047] Such as figure 1 As shown, in one embodiment, a method for classifying pictures is provided, specifically including the following steps S210 to S240:

[0048] Step S210, acquiring each picture to be classified.

[0049] Wherein, the picture to be classified is a picture that needs to be classified. The picture to be classified can be obtained in various possible ways. For example, it can be a picture collected by the user and stored in the memory, and when it needs to be classified, it can be obtained from the memory; it can also be a picture...

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Abstract

A method for classify pictures device, computer readable storage medium and computer device, By acquiring each picture to be classified, inputting each picture to be classified into a feature extraction model, obtaining feature vectors of each picture to be classified, obtaining the distribution of feature vectors of each picture to be classified in a feature space, and according to the distribution, dividing the feature space into categories in a finite field to obtain a picture classification result. As that picture to be classify is subjected to feature vector extraction, obtaining the distribution of the feature vectors of each picture to be classified in the feature space, based on the distribution of feature space, By removing the non-target pictures from the target pictures, the influence of the non-target pictures on the classification accuracy of the target pictures is reduced, and the problem that all the pictures that need to be classified are composed of N different targetpictures and non-target pictures is solved, which leads to the low accuracy and precision of the picture classification.

Description

technical field [0001] The present application relates to the technical field of the Internet, in particular to a picture classification method, device, computer-readable storage medium and computer equipment. Background technique [0002] With the continuous development of Internet technology, AI artificial intelligence is being widely used in various fields. As one of the important applications of artificial intelligence, computer vision is of great help when it is necessary to classify a large number of pictures. [0003] At present, the general way to classify a large number of pictures is: to extract the corresponding feature vectors from the pictures that need to be classified, based on the common characteristics of each feature vector, divide the quantity of pictures into their respective categories according to some pre-set standards. In the class, the divided classes show different degrees of characteristics between the classes. Since all pictures that need to be c...

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Application Information

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IPC IPC(8): G06K9/62G06N3/04
CPCG06N3/045G06F18/2411G06F18/214
Inventor 牟永奇许欢庆
Owner 北京朗镜科技有限责任公司
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