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Training method for image recognition model, image recognition method and related device

An image recognition and recognition model technology, applied in the field of image processing, can solve problems such as easy occurrence, inability to distinguish scene effects, repair effects, etc., and achieve the possible effect of reducing the possibility of wrong recognition

Active Publication Date: 2019-02-22
SHENZHEN TENCENT NETWORK INFORMATION TECH CO LTD
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Using the same image classification model cannot distinguish the impact of scenes on image recognition, resulting in error-prone recognition results and affecting subsequent problem repairs

Method used

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  • Training method for image recognition model, image recognition method and related device
  • Training method for image recognition model, image recognition method and related device
  • Training method for image recognition model, image recognition method and related device

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Embodiment Construction

[0047] In order to enable those skilled in the art to better understand the solution of the present application, the technical solution in the embodiment of the application will be clearly and completely described below in conjunction with the accompanying drawings in the embodiment of the application. Obviously, the described embodiment is only It is a part of the embodiments of this application, not all of them. Based on the embodiments in this application, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts belong to the scope of protection of this application.

[0048] The terms "first", "second", "third", "fourth", etc. (if any) in the specification and claims of the present application and the above drawings are used to distinguish similar objects, and not necessarily Used to describe a specific sequence or sequence. It is to be understood that the data so used are interchangeable under appropriate circumstances such th...

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Abstract

The embodiment of the application discloses a training method and device for an image recognition model, which obtains a plurality of application images of an application and determines the color distribution characteristics corresponding to each application image respectively, and performs the image clustering according to the color distribution characteristics of the plurality of application images to obtain a plurality of image sets. In the same set of clustered images, the color distribution features of the applied images are similar to each other, which generally accords with the first threshold, so that the applied images in the same set of images are likely to belong to the same set of application scenes. Based on the image set obtained by the clustering mentioned above, the image recognition model is trained according to a class of image sets, so that the image recognition model can be used to recognize the application images in the application scenes corresponding to this class of image sets with high accuracy, thus reducing the possibility of false recognition results.

Description

technical field [0001] The present application relates to the field of image processing, in particular to an image recognition model training method, image recognition method and related devices. Background technique [0002] During the running of the application, abnormal application images may be displayed for some reason, such as blurred screen, wrong background, disappearance of application characters, etc., which will seriously affect the user's application experience. [0003] In order to be able to fix problems that cause abnormal application images, it is necessary to be able to accurately identify whether the images displayed by the application are abnormal. The traditional method is to use a unified image classification model to identify the image displayed by the application to identify whether the image is abnormal. [0004] However, the characteristic of the application is that the same application may have multiple scenarios, and images in the same display mod...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/62G06K9/46
CPCG06V10/56G06F18/23G06F18/214
Inventor 潘晖范奇艾长青何庆玮田昊野张力柯荆彦青姚英杰王君乐
Owner SHENZHEN TENCENT NETWORK INFORMATION TECH CO LTD
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