Model training method, human face gender prediction method, equipment and storage medium

A model training and gender technology, applied in neural learning methods, character and pattern recognition, biological neural network models, etc., can solve problems such as uneven distribution, low prediction accuracy of gender prediction models, and single characteristics, and improve model quality. , The effect of reducing collection cost and workload

Pending Publication Date: 2019-12-20
GUANGDONG OPPO MOBILE TELECOMM CORP LTD
View PDF11 Cites 7 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] However, the characteristics of the sample face images currently used to train the gender prediction model

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Model training method, human face gender prediction method, equipment and storage medium
  • Model training method, human face gender prediction method, equipment and storage medium
  • Model training method, human face gender prediction method, equipment and storage medium

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0042] In order to make the object, technical solution and advantages of the present invention clearer, the implementation manner of the present invention will be further described in detail below in conjunction with the accompanying drawings.

[0043] The "plurality" mentioned herein means two or more. "And / or" describes the association relationship of associated objects, indicating that there may be three types of relationships, for example, A and / or B may indicate: A exists alone, A and B exist simultaneously, and B exists independently. The character " / " generally indicates that the contextual objects are an "or" relationship.

[0044] In related technologies, when training the face gender prediction model, usually the sample face images with gender marks (or called gender labels) are directly input into the face gender prediction model to be trained, and then according to the face gender prediction model The difference between the output prediction result and the gender ...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

PUM

No PUM Login to view more

Abstract

The embodiment of the invention discloses a model training method, a face gender prediction method, equipment and a storage medium, and belongs to the field of face gender prediction. The method comprises the following steps: acquiring a sample face image; performing face correction on the sample face image to obtain a sample face image after face correction; performing data enhancement processingon the corrected sample face image to generate at least one target sample face image corresponding to the sample face image; and training a face gender prediction model according to the target sampleface image and the gender label of the sample face image. By adopting the method provided by the embodiment of the invention, the face correction is performed on the sample face image, so that the influence of non-uniform face orientations on the subsequent model training is avoided, and the model quality of the face gender prediction model obtained by training is further improved; and a sample face in a sample face image is transformed by adopting a data enhancement mode, so that the sample data volume can be increased, and the workload of sample face image acquisition is reduced.

Description

technical field [0001] The present disclosure relates to the field of gender prediction, and in particular to a model training method, a face gender prediction method, a device, and a storage medium. Background technique [0002] Face recognition is a biometric technology for identity recognition based on facial feature information, while face gender prediction is a technology used in face recognition to predict the gender of a biometric object. [0003] When predicting the gender of a face in the related art, the face image is usually directly input into a pre-trained gender prediction model, so that the gender of the object to which the face in the face image belongs is determined according to the prediction result output by the gender prediction model. In order to improve the prediction accuracy of the gender prediction model, in the process of training the gender prediction model, it is necessary to obtain a large number of sample face images with different characteristi...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

Application Information

Patent Timeline
no application Login to view more
IPC IPC(8): G06K9/00G06K9/62G06N3/04G06N3/08
CPCG06N3/08G06V40/161G06V40/172G06V10/247G06N3/045G06F18/24G06F18/214
Inventor 孙莹莹
Owner GUANGDONG OPPO MOBILE TELECOMM CORP LTD
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products