Image labeling method and device, nonvolatile storage medium and computer equipment

An image labeling and image technology, applied in computer parts, computing, instruments, etc., can solve the problems of insufficient flame material and insufficient flame recognition model training, and achieve the effect of solving insufficient training.

Pending Publication Date: 2022-05-27
STATE GRID HENAN ELECTRIC POWER COMPANY ZHENGZHOU POWER SUPPLY +1
View PDF0 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] Embodiments of the present invention provide an image tagging method, device, non-volatile storage medium, and computer equipment to at least solve the technical problem of insufficient flame recognition model training due to the lack of tagged flame materials

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
  • Image labeling method and device, nonvolatile storage medium and computer equipment
  • Image labeling method and device, nonvolatile storage medium and computer equipment
  • Image labeling method and device, nonvolatile storage medium and computer equipment

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0021] In order to make those skilled in the art better understand the solutions of the present invention, the technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only Embodiments are part of the present invention, but not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without creative efforts shall fall within the protection scope of the present invention.

[0022] It should be noted that the terms "first", "second" and the like in the description and claims of the present invention and the above drawings are used to distinguish similar objects, and are not necessarily used to describe a specific sequence or sequence. It is to be understood that the data so used may be interchanged under appropriate ...

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 discloses an image annotation method and device, a nonvolatile storage medium and computer equipment. The method comprises the steps that a target material image is acquired, and the target material image comprises a flame image; the marking range of the target material image is delimited, and the image area where the marking range is located comprises the flame image; and extracting morphological characteristics of the target image region corresponding to the labeling range as a flame characteristic labeling result of the target material image. According to the invention, the technical problem of insufficient flame identification model training caused by few labeled flame materials is solved.

Description

technical field [0001] The present invention relates to the field of machine learning, and in particular, to an image labeling method, device, non-volatile storage medium and computer equipment. Background technique [0002] Substation is an important hub for voltage conversion and electric energy distribution in the power system. Many power equipment including transformers, high-voltage switches, capacitors and power cables are prone to fire hazards when the insulation of the faulty equipment is damaged, which is a high risk of power fires. place. When a fire occurs, the existing defense facilities cannot detect it in time and send the alarm information to the control center, and the alarm information cannot accurately describe the details of the occurrence. , smoke detection equipment to determine the occurrence of hidden dangers. But it takes a certain amount of fire and smoke to be detected. Therefore, image recognition of flames is very important. However, the image...

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
IPC IPC(8): G06V20/40G06V10/44G06V10/46G06V10/764G06K9/62
CPCG06F18/24
Inventor 闫庆方徐海瑞石云松刘文静王兵赵冠南陈玉蛟焦慧明吕乐卫元军侯少帅
Owner STATE GRID HENAN ELECTRIC POWER COMPANY ZHENGZHOU POWER SUPPLY
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