Looking for breakthrough ideas for innovation challenges? Try Patsnap Eureka!

Label correction method and device for sample picture, equipment and storage medium

A technology of sample images and text labels, applied in the computer field, can solve problems such as labor-intensive

Inactive Publication Date: 2020-07-07
上海眼控科技股份有限公司
View PDF0 Cites 6 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] However, the above-mentioned techniques have the problem of labor-intensive

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
  • Label correction method and device for sample picture, equipment and storage medium
  • Label correction method and device for sample picture, equipment and storage medium
  • Label correction method and device for sample picture, equipment and storage medium

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0059] 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.

[0060] At present, when detecting the wrong labels in the labeled text labels of the training pictures of the text recognition model, it is usually to manually check and check the content of each label before training the text recognition model, so as to find out and correct the wrong labels, and then Then use the training pictures to train the text recognition model. However, the above-mentioned techniques have problems such as labor-intensive and time-consuming. Embodiments of the present application provide a tag correction method, device, computer equipment, and stora...

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 relates to a sample picture label correction method and device, computer equipment and a storage medium. The method comprises the steps of obtaining a picture sample set; wherein the picture sample set comprises training pictures and annotation text labels corresponding to the training pictures; detecting whether a labeled text label corresponding to the training picture is an abnormal text label; if yes, correcting the abnormal text label by adopting a preset label correction model to obtain a corrected text label corresponding to the abnormal text label; wherein the label correction model is obtained by training based on a label sample set, and the label sample set comprises an abnormal text label and a label correction text label corresponding to the abnormal text label. By adopting the method, manpower and time can be saved.

Description

technical field [0001] The present application relates to the field of computer technology, in particular to a method, device, device and storage medium for tag correction of sample pictures. Background technique [0002] In the process of daily work and study, in order to recognize the text on the picture and so on, the text recognition model is usually used for recognition, and the text recognition model is usually trained by using a large number of training samples marked with text labels. Due to the large number of training samples, errors will inevitably occur in the process of labeling labels, which will also lead to insufficient accuracy of the text recognition model trained with wrong labels. Therefore, the detection of wrong labels is particularly important. [0003] In related technologies, when detecting wrong labels, usually before training the text recognition model, the content of each label is manually checked and checked, so that the wrong labels are found an...

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): G06K9/62G06K9/34
CPCG06V30/153G06F18/2411G06F18/214
Inventor 周康明冯晓锐
Owner 上海眼控科技股份有限公司
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Patsnap Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Patsnap Eureka Blog
Learn More
PatSnap group products

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

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap|About US| Contact US: help@patsnap.com