Age prediction model training method and device and face image recognition method and device

A facial image and estimation model technology, applied in the field of image processing, can solve the problem of low age recognition accuracy, and achieve the effect of improving age estimation accuracy and accuracy

Active Publication Date: 2019-04-23
TENCENT TECH (SHENZHEN) CO LTD
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Problems solved by technology

[0004] Based on this, it is necessary to provide an age estimation model training method, a facial image recognition method, a device, a

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  • Age prediction model training method and device and face image recognition method and device
  • Age prediction model training method and device and face image recognition method and device
  • Age prediction model training method and device and face image recognition method and device

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Embodiment Construction

[0067] 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.

[0068] figure 1 It is an application environment diagram of an age prediction model training method in an embodiment. refer to figure 1 , the age estimation model training method is applied to an age estimation model training system. The age prediction model training system includes a terminal 110 and a server 120 . Terminal 110 and server 120 are connected via a network. The terminal 110 may specifically be a desktop terminal or a mobile terminal, and the mobile terminal may specifically be at least one of a mobile phone, a tablet computer, a notebook computer, and th...

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Abstract

The invention relates to an age estimation model training method and device and a face image recognition method and device. The age estimation model training method comprises the steps of obtaining aface sample image set corresponding to the current stage; for each face sample image in the face sample image set, adjusting an image quality parameter to obtain a parameter adjustment face image, andselecting an age annotation value from a corresponding age annotation range; according to the parameter adjustment face image and the selected age annotation value, carrying out the current-stage training on the to-be-trained model until the training stop condition of the current stage is met; determining a training suspension condition of the next stage according to the training suspension condition of the current stage; and taking the next stage as the current stage, returning to obtain the face sample image set corresponding to the current stage for further training until the training stopcondition of the next stage meets the training completion condition, and obtaining the age estimation model. According to the scheme provided by the invention, the age estimation accuracy of the ageestimation model is improved.

Description

technical field [0001] The present application relates to the technical field of image processing, in particular to an age estimation model training method, a facial image recognition method, a device, a computer-readable storage medium and computer equipment. Background technique [0002] With the development of data processing technology, image processing technology has also developed rapidly, making image processing technology widely used in many application fields, such as traffic monitoring and target recognition. target objects in the image. [0003] However, in the current image processing technology, the age corresponding to the facial image can be determined through the recognition of the facial image. In the traditional way of age recognition through the facial image, the recognition result is easily affected by environmental factors when the image is collected. Facial images are less accurate for age identification. Contents of the invention [0004] Based on ...

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Application Information

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IPC IPC(8): G06K9/00
CPCG06V40/178G06V40/172
Inventor 贺珂珂葛彦昊汪铖杰李季檩吴永坚黄飞跃杨思骞姚永强朱敏黄小明
Owner TENCENT TECH (SHENZHEN) CO LTD
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