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Image classification model construction method, device, computer equipment and storage medium

A classification model and construction method technology, applied in the computer field, can solve the problems of difficult sampling, small amount of sample image data, low image classification accuracy, etc., to improve image classification accuracy, wide application, maintain learning ability and free learning effect of ability

Active Publication Date: 2021-05-11
BEIJING WEIFU SECURITY & PROTECTION TECH CO LTD
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Problems solved by technology

[0003] However, when sampling is difficult and the amount of sample image data is small, the image classification accuracy of the image classification model will be low

Method used

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  • Image classification model construction method, device, computer equipment and storage medium
  • Image classification model construction method, device, computer equipment and storage medium
  • Image classification model construction method, device, computer equipment and storage medium

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Embodiment Construction

[0051] 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.

[0052] The method for constructing an image classification model provided in this application can be applied to a terminal or a server. Taking the application to the server as an example for illustration, it can be applied to such as figure 1shown in the application environment. Wherein, the terminal 102 communicates with the server 104 through a network. The terminal 102 sends a model construction task to the server 104, and the server 104 analyzes the model construction task to obtain a small sample image set. The server 104 performs convolution operation on each samp...

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Abstract

The present application relates to an image classification model construction method, device, computer equipment and storage medium. The method includes: acquiring a small sample image set; performing a convolution operation on each sample image in the small sample image set through a convolution kernel, calculating the similarity between the convolved sample images, and according to the similarity in the set The first convolution kernel is selected from the above convolution kernels; data enhancement is performed on the small sample image set to obtain the target image set, and the second convolution kernel is generated according to the target image set; according to the volume corresponding to the specified convolution kernel size The third convolution kernel is randomly generated by the kernel parameters; an image classification model is obtained by constructing the first convolution kernel, the second convolution kernel, and the third convolution kernel. With this method, the image classification model can be constructed to improve the accuracy of image classification under the condition that the amount of sample image data is small.

Description

technical field [0001] The present application relates to the field of computer technology, in particular to a method, device, computer equipment and storage medium for constructing an image classification model. Background technique [0002] Image classification refers to an image processing method that distinguishes different types of objects according to the different features reflected in the image. Traditionally, an image classification model is built by training a large amount of sample image data. [0003] However, when the sampling is difficult and the amount of sample image data is small, the image classification accuracy of the image classification model will be low. Therefore, how to build an image classification model to improve the accuracy of image classification in the case of a small amount of sample image data has become a technical problem that needs to be solved at present. Contents of the invention [0004] Based on this, it is necessary to address th...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06K9/62G06K9/46G06N3/04
CPCG06V10/40G06N3/045G06F18/213G06F18/22G06F18/241G06F18/253
Inventor 张少林宁欣聂帅
Owner BEIJING WEIFU SECURITY & PROTECTION TECH CO LTD
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