Image tagging method, device and storage medium

An image annotation and image sample technology, applied in the field of image processing, can solve the problems of low efficiency and large workload of purely manual annotation, and achieve the effect of improving accuracy, saving labor costs, and saving quality inspection costs.

Active Publication Date: 2021-09-17
BEIJING SMARTCHIP MICROELECTRONICS TECH COMPANY +3
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Problems solved by technology

[0003] The purpose of the embodiment of the present invention is to provide an image labeling method, device and storage medium, which solves the problem of large workload and low efficiency of pure manual labeling, uses the machine part to replace the manual quality inspection work, and due to the generalization performance of the machine algorithm , which can improve the accuracy of sample labeling and save quality inspection costs

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  • Image tagging method, device and storage medium
  • Image tagging method, device and storage medium
  • Image tagging method, device and storage medium

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Embodiment Construction

[0070] The specific implementation manners of the embodiments of the present invention will be described in detail below in conjunction with the accompanying drawings. It should be understood that the specific implementation manners described here are only used to illustrate and explain the embodiments of the present invention, and are not intended to limit the embodiments of the present invention.

[0071] figure 1 It is a schematic flowchart of an image labeling method provided by an embodiment of the present invention. Such as figure 1 As shown, the method includes the following steps:

[0072] In step 101, the user's labeling operation on the original image sample is obtained.

[0073] Among them, the difference between the embodiment of the present invention and the related technology is that the embodiment of the present invention uses all the original image samples to be manually and roughly marked by the labeling staff on the objects in the original image samples, w...

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Abstract

Embodiments of the present invention provide an image labeling method, device, and storage medium, which belong to the technical field of image processing. The method includes: obtaining the labeling operation performed by the user on the original image sample; using the labeled image sample to train a target detection model, and using the trained target detection model to re-detect the original image sample to obtain a model detection result; The model detection result is compared with the labeled image sample, and the comparison result is displayed. The embodiment of the present invention is applicable to the image recognition process.

Description

technical field [0001] The present invention relates to the technical field of image processing, in particular to an image labeling method, device and storage medium. Background technique [0002] Image processing algorithms based on deep learning often need to finely identify the category and location of objects, which requires a large amount of manually labeled data for training. However, the training data is usually tens of thousands, or even millions. However, purely manual labeling requires a lot of work. Contents of the invention [0003] The purpose of the embodiment of the present invention is to provide an image labeling method, device and storage medium, which solves the problem of large workload and low efficiency of pure manual labeling, uses the machine part to replace the manual quality inspection work, and due to the generalization performance of the machine algorithm , which can improve the accuracy of sample labeling and save quality inspection costs. ...

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06K9/62
CPCG06V2201/07G06F18/214G06F18/241G06F18/25
Inventor 李晶郑哲刘瑞崔文朋聂玉虎池颖英徐鲲鹏李腾浩杨玎黄桂林胡戈飚习雨同曹波
Owner BEIJING SMARTCHIP MICROELECTRONICS TECH COMPANY
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