Method and device for generating model and identifying age and gender, equipment and medium

Abstract

The invention discloses a method and device for generating a model and identifying age and gender, and equipment and a storage medium and a program product, and relates to the technical field of artificial intelligence, in particular to the technical field of deep learning and image recognition. The specific implementation scheme is as follows: selecting a network structure module from a preset basic network structure module set to construct at least one candidate model; for each candidate model in the at least one candidate model, training the candidate model by using each training sample set in at least one training sample set of which the data scale is smaller than a first threshold value to obtain pre-training models of the candidate model for different training sample sets; scoring each candidate model according to the performance of each candidate model for the pre-training models of different training sample sets; and retraining the candidate model with the highest score by using the training sample set of which the data scale is greater than a second threshold value to obtain an age and gender recognition model. According to the embodiment, the age and the gender can be analyzed simultaneously through one model.

Description

technical field [0001] The present disclosure relates to the technical field of artificial intelligence, specifically the technical fields of deep learning and image recognition. Background technique [0002] Face age and gender recognition technology refers to the technology of estimating biological age and gender for a given face photo. Faces are a very rich source of information, and face images can provide attribute information such as identity, age, gender, and expression. [0003] Existing face age estimation and gender recognition technologies are mainly based on traditional machine learning frameworks or convolutional neural network frameworks. However, the existing technology can only estimate one of age or gender, and cannot simultaneously analyze two face attributes through one model. Moreover, the face age estimation or gender recognition algorithm of the traditional machine learning algorithm has low accuracy, and the calculation is complex, resulting in a lar...

AI Technical Summary

Problems solved by technology

However, the existing technology can only estimate one of age or gender, and cannot analyze two face attributes at the same time through one model

Moreover, the face age estimation or gender recognition algorithm of the traditional machine learning algorithm has low accuracy, and the calculation is complex, resulting in a large amount of calculation, which cannot be run on small devices such as mobile terminals, and cannot adapt to different hardware and hardware environments with different calculation requirements.

Images