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Method, device, electronic device and storage medium for obtaining recognition model

A technology for identifying models and categories, applied in the field of deep learning, which can solve the problems of low accuracy of identification models and imprecise training of models.

Active Publication Date: 2020-10-09
BEIJING DAJIA INTERNET INFORMATION TECH CO LTD
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  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

[0005] The present disclosure provides a method, device, electronic device, and storage medium for obtaining a recognition model, which can overcome the problem of model training directly based on the probability of the plurality of sample images in each age group when training the recognition model, which may cause model The training is not accurate, which leads to the problem of low accuracy of the trained recognition model

Method used

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  • Method, device, electronic device and storage medium for obtaining recognition model
  • Method, device, electronic device and storage medium for obtaining recognition model
  • Method, device, electronic device and storage medium for obtaining recognition model

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Embodiment Construction

[0066] 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 apparatuses and methods consistent with aspects of the present disclosure as recited in the appended claims.

[0067] figure 1 is a flow chart of a method for acquiring a recognition model according to an exemplary embodiment, such as figure 1 As shown, the method for obtaining the recognition model includes:

[0068] In step S101, during the process of training the identification model, for each sample data, the first identity category to which the sample data belongs is determined according...

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Abstract

The invention relates to a method and device for obtaining an identification model, electronic equipment and a storage medium, and belongs to the technical field of deep learning, and the method comprises the steps: determining a first identity category to which each piece of sample data belongs according to a first identification model in the process of training the identification model; according to a first identity category and a second identity category to which the sample data belongs, determining the weight of a first probability in the model training process, the first probability beingthe probability that the sample data belongs to the second identity category, and the second identity category being the identity category to which the sample data actually belongs; and performing iterative training on the first recognition model according to the first probability and the weight of the sample data to obtain a second recognition model. According to the method and the device, the loss value of the sample data is calculated through the weighted first probability to carry out model training, and the correlation between classes in the model training process is fully considered, sothat the accuracy of identifying the model is improved.

Description

technical field [0001] The present disclosure relates to the technical field of deep learning, and in particular to a method, device, electronic device and storage medium for acquiring a recognition model. Background technique [0002] With the development of artificial intelligence, the application of deep learning technology is becoming more and more extensive. Especially when solving the problem of identifying identity information from images, the image is usually identified according to the image recognition model. Therefore, model training is usually required to establish an image recognition model before image recognition. For example, before using an image recognition model to recognize the age corresponding to a face in a face image, model training is required to establish a face age recognition model. [0003] In related technologies, in the process of training the image recognition model, the age is divided into several age groups, and the probability of multiple...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06K9/00G06K9/62
Inventor 杨帆
Owner BEIJING DAJIA INTERNET INFORMATION TECH CO LTD