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

Tag extension method and electronic device

A label and target technology, applied in character and pattern recognition, instruments, calculations, etc., can solve problems such as missing labels, inaccurate labels, and inaccurate target positions, so as to avoid missing labels, improve accuracy, and expand high-quality The effect on the label dataset of

Active Publication Date: 2021-01-22
YI TAI FEI LIU INFORMATION TECH LLC
View PDF8 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, the inventor found that the above method is easy to cause the problem of missing labels, and the marked target position is inaccurate, resulting in inaccurate expanded labels, which affects the formation of high-quality label data sets

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
  • Tag extension method and electronic device
  • Tag extension method and electronic device
  • Tag extension method and electronic device

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0022] In order to make the purpose, technical solutions and advantages of the embodiments of the present invention more clear, various implementation modes of the present invention will be described in detail below in conjunction with the accompanying drawings. However, those of ordinary skill in the art can understand that, in each implementation manner of the present invention, many technical details are provided for readers to better understand the present application. However, even without these technical details and various changes and modifications based on the following implementation modes, the technical solution claimed in this application can also be realized.

[0023] The first embodiment of the present invention relates to a tag extension method. The core of this embodiment is to use multiple detection models to detect the images to be labeled to obtain multiple detection results, label the images to be labeled according to the multiple detection results, and add ...

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 embodiment of the invention relates to the field of computer vision, and discloses a label expansion method and electronic equipment. According to the invention, the label expansion method comprises the following steps: respectively detecting images to be labeled by utilizing N detection models, wherein N is a natural number greater than 1; obtaining N detection results of the N detection models, wherein one detection model corresponds to one detection result; labeling the image to be labeled according to the obtained N detection results; adding the marked image into the label data set asthe label, so that the problem of label missing can be avoided, the accuracy of the marked target position is improved, and the high-quality label data set can be expanded.

Description

technical field [0001] The embodiments of the present invention relate to the field of computer vision, and in particular to a tag extension method and electronic equipment. Background technique [0002] Object detection is the most widely used task of deep learning technology in the field of computer vision. It refers to identifying objects of multiple predefined categories from images and determining their locations. In the past decade, the application of deep learning technology in object detection has achieved great success. Many neural networks in deep learning require a large number of high-quality labeled data sets. [0003] However, the inventors found that there are at least the following problems in the prior art: In practical applications, in order to achieve the purpose of rapidly expanding detection labels, people expect to use automatic labeling tools to replace manual data labeling. The current implementation of automatic labeling technology is mainly It is ...

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 Patents(China)
IPC IPC(8): G06K9/20G06K9/62
Inventor 郝宽王文郭昌野
Owner YI TAI FEI LIU INFORMATION TECH LLC
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