Abnormal image detection method and device, electronic equipment and storage medium

An abnormal image and detection method technology, applied in the computer field, can solve the problems of insufficient data diversity of abnormal image samples, affecting the accuracy of abnormal images, and wrong classification of classifiers, so as to improve data diversity, high accuracy, and improve data diversity. amount of effect

Pending Publication Date: 2022-07-29
NETEASE (HANGZHOU) NETWORK CO LTD
View PDF0 Cites 3 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, the number of existing abnormal image samples is very small, and the existing process of constructing abnormal image samples is too empirical, resulting in insufficient data diversity of abnormal image samples. Insufficient diversity can easily lead to misclassification by the classifier, thereby affecting the accuracy of abnormal images

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Abnormal image detection method and device, electronic equipment and storage medium
  • Abnormal image detection method and device, electronic equipment and storage medium
  • Abnormal image detection method and device, electronic equipment and storage medium

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0043] In order to make the purposes, technical solutions and advantages of the embodiments of the present application clearer, the technical solutions of the present application will be described clearly and completely below with reference to the accompanying drawings. Obviously, the described embodiments are part of the embodiments of the present application, not all of them. example. Based on the embodiments in this application, all other embodiments obtained by those skilled in the art without creative efforts shall fall within the protection scope of this application.

[0044]With the rapid development of computer technology, the mobile devices on the market are changing with each passing day, and the operating systems of different types of mobile devices are different. Especially for Android-based mobile devices, device manufacturers will optimize for the native system, which leads to fragmentation of mobile devices. It is extremely serious that how to automatically perf...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

PUM

No PUM Login to view more

Abstract

The invention provides an abnormal image detection method and device, electronic equipment and a storage medium, and the method comprises the steps: obtaining an abnormal image sample, the abnormal image sample being an image obtained by rendering a second application package, and the second application package being a package obtained after adding a problem code to a first application package; obtaining a normal image sample, wherein the normal image sample is an image obtained by rendering the first application package body; based on the abnormal image sample and the normal image sample, the initial detection model is trained, a trained target detection model is obtained, and the target detection model is used for outputting the probability that the input image is a normal image or an abnormal image. According to the method, the data size and data diversity of the abnormal image sample are improved, so that the accuracy of detecting the abnormal image by the target detection model is improved.

Description

technical field [0001] The present application relates to the field of computer technology, and in particular, to a method, device, electronic device, and storage medium for detecting abnormal images. Background technique [0002] Before a new version of an application (Application, APP) goes online, a tester usually needs to test the graphical user interface of the application to determine whether the application has a display abnormality problem. Taking a game application as an example, before a new version of a game application goes online, testers need to detect whether the game screen in the game application is abnormal, for example, to detect whether there is a black screen or a blurred screen, abnormal display of virtual elements, and skill effects. Problems such as abnormal display effect. [0003] In related technologies, more and more mobile phone application manufacturers are introducing artificial intelligence algorithms (Artificial Intelligent Algorithm) in the...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

Application Information

Patent Timeline
no application Login to view more
Patent Type & Authority Applications(China)
IPC IPC(8): G06V10/774G06V10/74G06V10/82G06T7/00G06F11/36
CPCG06V10/774G06V10/761G06V10/82G06T7/0002G06F11/3688G06V2201/07
Inventor 陈柯胡志鹏胡裕靖吕唐杰范长杰
Owner NETEASE (HANGZHOU) NETWORK CO LTD
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap