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Face attribute recognition method and device, computer equipment and storage medium

A technology of attribute identification and identification, which is applied in the computer field, can solve problems such as sample imbalance, achieve the effect of improving accuracy and overcoming sample imbalance

Pending Publication Date: 2020-08-07
TENCENT TECH (SHENZHEN) CO LTD
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] Based on this, it is necessary to address the above technical problems and provide a face attribute recognition method, device, computer equipment and storage medium that can effectively improve the accuracy of face attribute recognition in the case of unbalanced samples

Method used

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  • Face attribute recognition method and device, computer equipment and storage medium
  • Face attribute recognition method and device, computer equipment and storage medium
  • Face attribute recognition method and device, computer equipment and storage medium

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Embodiment Construction

[0059] In order to make the purpose, technical solution and advantages of the present application clearer, the present application will be further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described here are only used to explain the present application, and are not intended to limit the present application.

[0060] The face attribute recognition method provided by this application can be applied to such as figure 1 shown in the application environment. Wherein, the server 102 communicates with the database 104 . The server 102 can be implemented by an independent server or a server cluster composed of multiple servers. Images to be recognized are stored in the database 104 . The server 102 obtains a face attribute recognition task, and obtains a corresponding image to be recognized from the database 104 according to the face attribute recognition task. The server 102 detec...

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Abstract

The invention relates to a face attribute recognition method and device, computer equipment and a storage medium. The method comprises the steps of obtaining a to-be-recognized image; detecting a facein the to-be-recognized image, and extracting face key point information; cutting the to-be-recognized image by utilizing the face key point information to obtain a cut face image; inputting the cuthuman face image into a human face attribute recognition model, performing operation through the human face attribute recognition model, and outputting each attribute label and each attribute sub-label corresponding to the human face; enabling the human face attribute recognition network to determine each attribute label and a sample weight corresponding to the attribute sub-label through the attribute label and the attribute sub-label of a sample image and a corresponding label index; and determining a to-be-copied sample image and a corresponding copying frequency according to the sample weight, copying the to-be-copied sample image according to the copying frequency, and performing training by using the copied sample image. By adopting the method, the face attribute recognition accuracycan be effectively improved under the condition of unbalanced samples.

Description

technical field [0001] The present application relates to the field of computer technology, in particular to a face attribute recognition method, device, computer equipment and storage medium. Background technique [0002] With the development of computer technology, artificial intelligence technology has emerged. Artificial intelligence technology is a comprehensive subject that involves a wide range of fields, including both hardware-level technology and software-level technology. At the level of software technology, machine learning is the core of artificial intelligence and the fundamental way to make computers intelligent, and its application pervades all fields of artificial intelligence. For example, through machine learning, attributes of human faces can be identified, and attributes such as gender, race, and expression of human faces can be identified. Since a face can have multiple attribute labels at the same time, if there are fewer samples of some attribute la...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/00G06K9/62G06N3/04
CPCG06V40/165G06N3/045G06F18/214
Inventor 孙冲冷欣航李琛刘雨培戴宇荣
Owner TENCENT TECH (SHENZHEN) CO LTD
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