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Acne type recognition model training method and related device

A type recognition and model training technology, applied in the field of computer vision, can solve the problems of small acne area, low accuracy of acne type recognition, and indistinct distinguishing features, so as to achieve the effect of improving accuracy

Pending Publication Date: 2021-01-05
深圳数联天下智能科技有限公司
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] However, the area of ​​acne is small, and the distinguishable features between different categories are not obvious, resulting in low accuracy in identifying acne types.

Method used

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  • Acne type recognition model training method and related device
  • Acne type recognition model training method and related device
  • Acne type recognition model training method and related device

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Experimental program
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Embodiment approach

[0031] In one embodiment, the method includes:

[0032] Acquiring multiple image data containing acnes, the acnes belonging to different categories;

[0033] Perform normalization processing on the above-mentioned plurality of image data to obtain a plurality of the above-mentioned sample images with a preset size, and obtain the above-mentioned sample data set.

[0034] Since the acne image is small, the image data can be normalized first, and the image size can be set to a preset size for accurate subsequent processing.

[0035] 102. Obtain a standard image corresponding to each acne type, where the above-mentioned standard image is used to represent an acne pattern of an acne type.

[0036] Specifically, a standard image corresponding to each acne type may be preset. Optionally, the above-mentioned standard image can be selected from the collected acne type data set, and the standard image can be used as a representative style image corresponding to the acne type, and can...

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Abstract

The invention discloses an acne type recognition model training method and a related device. The method comprises the following steps: acquiring a sample data set, wherein the sample data set comprises a plurality of sample images belonging to different acne types; obtaining a standard image corresponding to each acne type, wherein one standard image is used for representing an acne style of one acne type; calculating a category probability label of each sample image, wherein the category probability label comprises similarity information between the sample image and each standard image; and training a classification network model based on each sample image and the category probability label corresponding to each sample image to obtain an acne type identification model.

Description

technical field [0001] The invention relates to the technical field of computer vision, in particular to a method for training an acne type recognition model and a related device. Background technique [0002] With the rapid development of mobile communication technology and the improvement of people's living standards, various smart terminals have been widely used in people's daily work and life, making people more and more accustomed to using terminal applications, making beauty selfies, taking pictures and skin testing There are more and more APP demands for such functions, and there is also a great demand for the analysis of acne on the face. According to the type of acne, skin improvement plans can be proposed or inquired about in a targeted manner. [0003] However, the area of ​​acne is small, and the distinguishable features between different categories are not obvious, resulting in the current low accuracy of identifying acne types. Contents of the invention [0...

Claims

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Application Information

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IPC IPC(8): G06K9/62G06N3/04G06N3/08G06N20/20
CPCG06N20/20G06N3/08G06N3/045G06F18/2415G06F18/214
Inventor 陈仿雄
Owner 深圳数联天下智能科技有限公司