Image classification method and device, electronic equipment and computer readable storage medium

A classification method and image technology, applied in the field of deep learning, can solve problems such as inaccurate output results of deep learning models

CN112163110AActive Publication Date: 2021-01-01OPPO CHONGQING INTELLIGENT TECH CO LTD
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Publication Date
2021-01-01

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Abstract

The invention relates to an image classification method and device, electronic equipment and a computer readable storage medium, and the method comprises the steps of enabling the electronic equipmentto input a to-be-detected image into a preset classification model for classification and credibility detection, and obtaining an initial classification result and credibility of the to-be-detected image; then, verifying the initial classification result according to the credibility to obtain a target classification result of the to-be-detected image, wherein the credibility is used for representing the similarity degree of the to-be-detected image and the training sample of the classification model. By adopting the method, a more accurate image classification result can be obtained, and theoutput accuracy of the classification model is improved.
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Description

technical field

[0001] The present application relates to the field of deep learning, in particular to an image classification method, device, electronic equipment and computer-readable storage medium. Background technique

[0002] In recent years, deep learning has become a popular direction in computer vision, and image classification methods based on convolutional neural networks have been widely used.

[0003] In the traditional method, the deep learning model is used to classify images, mainly by inputting the image to be detected into the deep learning model, and outputting the category probability corresponding to each type of the image to be detected through the deep learning model, and the category corresponding to the maximum category probability can be used as The category label of the image to be detected.

[0004] Then, using the above method, when the type of the image to be detected is different from the type of training samples of the deep learning model, it...

Examples

Embodiment Construction

[0054] 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 embodiments described here are only used to explain the present application, and are not intended to limit the present application.

[0055] figure 1 It is a schematic diagram of the application environment of the image classification method in one embodiment. Such as figure 1 As shown, the above image classification method can be applied to the electronic device 100, which can be but not limited to various personal computers, notebook computers, smart phones, tablet computers and portable wearable devices, and can also be a server. The electronic device 100 can classify various types of images to be detected.

[0056] figure 2 It is a flowchart of an image classification method in an embodiment. T...