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Image recognition method, device and system

An image recognition and image technology, applied in the field of image processing, can solve problems such as unsatisfactory recognition effect

Active Publication Date: 2021-04-09
ALIBABA GRP HLDG LTD
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, since there are more and more styles of psoriasis in the image, even non-text information such as logos, the effect of using text line detection technology to recognize psoriasis images is not ideal

Method used

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  • Image recognition method, device and system
  • Image recognition method, device and system
  • Image recognition method, device and system

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Embodiment Construction

[0025] Embodiments of the present application are described in detail below, examples of which are shown in the drawings, wherein the same or similar reference numerals denote the same or similar modules or modules having the same or similar functions throughout. The embodiments described below by referring to the figures are exemplary, and are only for explaining the present application, and should not be construed as limiting the present application. On the contrary, the embodiments of the present application include all changes, modifications and equivalents falling within the spirit and scope of the appended claims.

[0026] figure 1 It is a schematic flowchart of an image recognition method proposed by an embodiment of the present application.

[0027] see figure 1 , the method of this embodiment includes:

[0028] S11: Obtain an image to be recognized.

[0029] Wherein, to be identified is a given image, so as to identify whether the image is an image of a specified ...

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Abstract

The present application proposes an image recognition method, device and system, the method comprising: obtaining an image to be recognized; obtaining an image recognition model, wherein the image recognition model is generated after machine learning is performed on training samples, and the training samples include : the training image, the clustering label of the training image and the binary classification label of the training image, the clustering label of the training image is obtained after clustering the training image; using the image recognition model, the image to be recognized is Perform recognition, and determine the binary classification score of the image to be recognized. This method can improve the recognition effect of binary classification images.

Description

technical field [0001] The present application relates to the technical field of image processing, in particular to an image recognition method, device and system. Background technique [0002] Due to the advantages of images such as being beautiful and intuitive, a lot of information can be displayed in the form of images, for example, product information is displayed in the form of images. However, many product images will contain non-subject information such as promotional text, advertising text, watermark, logo, etc. outside the main body of the product. This part of information can be commonly referred to as psoriasis on the image. for psoriasis images. Since the psoriasis on the image will seriously affect the user experience, it is necessary to identify the psoriasis image for subsequent processing such as image filtering. [0003] In related technologies, a text line detection method is usually used to identify psoriasis images. However, since there are more and m...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06K9/62
Inventor 孙佰贵刘扬华先胜
Owner ALIBABA GRP HLDG LTD
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