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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
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  • 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

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  • 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

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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 ...

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PUM

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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

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Application Information

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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
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