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Image annotation method and device

An image labeling and equipment technology, applied in the field of image processing, can solve the problem of inability to guarantee the reliability of labeling quality, and achieve the effect of ensuring security and confidentiality, speeding up the labeling process, and reducing workload

Active Publication Date: 2020-11-06
济南信通达电气科技有限公司
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AI Technical Summary

Problems solved by technology

[0004] The embodiment of the present application provides an image tagging method and equipment to solve the technical problem that the reliability of the tagging quality cannot be guaranteed when the existing image tagging method is used to tag the image data in the power transmission scene

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Embodiment Construction

[0025] In order to make the purpose, technical solution and advantages of the present application clearer, the technical solution of the present application will be clearly and completely described below in conjunction with specific embodiments of the present application and corresponding drawings. Apparently, the described embodiments are only some of the embodiments of the present application, rather than all the embodiments. Based on the embodiments in this application, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts belong to the scope of protection of this application.

[0026] The normal operation of the power transmission process is related to the smooth progress of domestic and industrial and agricultural power consumption. Therefore, in recent years, more and more attention has been paid to the detection process of potential safety hazards in the power transmission process. The potential safety hazards in the powe...

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Abstract

The invention discloses an image annotation method and device, and is used for solving the technical problem that the reliability of annotation quality cannot be ensured when an existing image annotation method is used for annotating an image related to a power transmission scene. The method comprises the steps of taking to-be-labeled image data; sending the to-be-annotated image data to annotation equipment to complete an annotation process of the power transmission hidden danger targets contained in the to-be-annotated image data to obtain to-be-classified image data; classifying the to-be-classified image data through an image classification model, and determining a classification result; and resending the classification error image data to the corresponding annotation equipment, and carrying out secondary annotation to obtain classification correct image data. By means of the method, the labeling accuracy is improved, and then the reliability of labeling quality is guaranteed.

Description

technical field [0001] The present application relates to the technical field of image processing, and in particular to an image labeling method and device. Background technique [0002] With the continuous development of artificial intelligence technology, its application in the field of electric power is becoming more and more extensive. The hidden target recognition scheme based on deep learning needs to rely on a large amount of image data for labeling, and then train the neural network model to achieve excellent hidden target recognition results. [0003] However, most of the existing labeling methods for hidden dangers in power transmission are done manually, which not only wastes a lot of manpower and material resources, but also has low efficiency; it is also very easy to cause labeling errors, the accuracy of the labeling process is low, and the cost of later audits is also high. There are also some labeling methods that use semi-automatic labeling. Although some l...

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Application Information

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IPC IPC(8): G06F16/58G06F16/55G06F21/60
CPCG06F16/5866G06F16/55G06F21/602Y04S10/50
Inventor 刘焕云蔡富东吕昌峰韩晶
Owner 济南信通达电气科技有限公司
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