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Category label generation method and device, electronic equipment and storage medium

A technology of category labeling, electronic equipment, applied in the computer field, which can solve the problems of low efficiency and high cost

Active Publication Date: 2020-02-18
BEIJING DAJIA INTERNET INFORMATION TECH CO LTD
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] The present disclosure provides a method, device, electronic device, and storage medium for generating a category label, which can overcome the problems of high cost and low efficiency in the related art due to the need to manually mark the first category label for the target image

Method used

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  • Category label generation method and device, electronic equipment and storage medium
  • Category label generation method and device, electronic equipment and storage medium
  • Category label generation method and device, electronic equipment and storage medium

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Embodiment Construction

[0074] Reference will now be made in detail to the exemplary embodiments, examples of which are illustrated in the accompanying drawings. When the following description refers to the accompanying drawings, the same numerals in different drawings refer to the same or similar elements unless otherwise indicated. The implementations described in the following exemplary examples do not represent all implementations consistent with the present disclosure. Rather, they are merely examples of devices and methods consistent with aspects of the present disclosure as recited in the appended claims.

[0075] figure 1 is a flow chart of a method for generating category labels according to an exemplary embodiment, see figure 1 , including the following steps:

[0076] 101. Based on the number of targets, select the target image group from the candidate image set, so that the number of target images in the target image group is equal to the target number, and the probability of the targe...

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Abstract

The invention relates to a category label generation method and device, electronic equipment and a storage medium, and belongs to the technical field of computers. The method comprises the following steps: based on the target number, selecting a target image group from the alternative image set, generating a first category label for each target image in the target image group; based on the presetnumber, selecting a reference image group from the alternative image set, and obtaining a first accuracy rate according to the category label marked for each reference image in the reference image group, adjusting the target number according to the first accuracy rate, continuing to select a target image group from other alternative image sets based on the adjusted target number, and generating afirst category label for each target image in the target image group. According to the method, the first category label is automatically generated for the target image, manual labeling is not needed,the cost is reduced, and the generation efficiency is improved. Moreover, the target images are selected from the alternative image set by adjusting the number of the targets, so that the accuracy isimproved.

Description

technical field [0001] The present disclosure relates to the field of computer technology, and in particular to a method, device, electronic equipment and storage medium for generating category tags. Background technique [0002] With the rapid development of computer technology and the gradual maturity of artificial intelligence technology, image classification models are widely used in various fields such as face recognition and live detection. The image classification model has a target category, and the function of the image classification model is to classify images belonging to the target category and images not belonging to the target category. Therefore, a target image belonging to the target category is usually selected, and a first category label is generated for the target image. The first category label indicates that the target image belongs to the target category, and an image classification model is subsequently trained based on the selected target image. [...

Claims

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Application Information

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IPC IPC(8): G06K9/62
CPCG06F18/214G06F18/24
Inventor 张志伟李焱李岩吴丽军
Owner BEIJING DAJIA INTERNET INFORMATION TECH CO LTD
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