Label identification method and device, computer equipment and storage medium

A recognition method and technology for signage, applied in scene recognition, neural learning method, biological neural network model, etc., can solve the problems of inability to stably identify the information contained, the difficulty of useful signage information, and the low accuracy of signage recognition. Improve construction accuracy, save labor costs, and reduce labor consumption

Pending Publication Date: 2022-05-13
SF TECH
View PDF0 Cites 1 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] However, the existing image recognition technology for map construction can only stably identify relatively large-scale traffic elements, and cannot stably identify the information contained in small-scale traffic elements such as road signs, especially on highways. The important signs in the image - milestones, because they only account for less than 0.3% of the entire captured image, it is extremely difficult to extract useful information about signs using existing image recognition technology, and the accuracy of sign recognition is not high

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 identification method and device, computer equipment and storage medium
  • Label identification method and device, computer equipment and storage medium
  • Label identification method and device, computer equipment and storage medium

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0059] The following will clearly and completely describe the technical solutions in the embodiments of the application with reference to the drawings in the embodiments of the application. Apparently, the described embodiments are only some of the embodiments of the application, not all of them. Based on the embodiments in this application, all other embodiments obtained by those skilled in the art without making creative efforts belong to the scope of protection of this application.

[0060] In the description of the present application, it should be understood that the terms "first" and "second" are used for description purposes only, and cannot be interpreted as indicating or implying relative importance or implicitly indicating the quantity of indicated technical features. Thus, a feature defined as "first" or "second" may explicitly or implicitly include one or more of said features. In the description of the present application, "plurality" means two or more, unless oth...

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 a label identification method and apparatus, a computer device and a storage medium. The method comprises the steps of obtaining a to-be-detected image; based on a trained label identification detection model, performing label identification detection on the to-be-detected image to obtain a label identification in the to-be-detected image; obtaining a label image in the to-be-detected image according to the label identifier, and processing the label image to obtain a processed label image; based on a sign information identification model, sign information identification is carried out on the processed sign image, sign information in the to-be-detected image is obtained, and the sign information comprises a road number and a course value. By adopting the method, the identification accuracy of the sign can be improved, so that more accurate road numbers and history values can be obtained, the sign information of the road can be perfected, the construction precision of the map can be improved, and the labor cost can be saved.

Description

technical field [0001] The present application relates to the technical field of artificial intelligence, and in particular to a label recognition method, device, computer equipment and storage medium. Background technique [0002] Artificial Intelligence (AI) is a comprehensive technology of computer science. By studying the design principles and implementation methods of various intelligent machines, the machines can have the functions of perception, reasoning and decision-making. With the rapid development of artificial intelligence technology, the image recognition function based on computer vision technology accounts for an increasing proportion in the field of image processing, and the infrastructure of more and more application scenarios begins to use this type of image recognition function The map in the driving scene needs to use the above-mentioned image recognition function to identify various traffic signs from massive data to build a high-precision map. [0003...

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): G06V20/58G06N3/08
CPCG06N3/08
Inventor 刘钰纯
Owner SF TECH
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