Electronic device, image-based age classification method and storage medium

Abstract

The invention discloses an electronic device, an image-based age classification method and a storage medium. The method comprises the steps of after receiving the first face image of a to-be-identified age, cutting the first face image by adopting a preset cutting rule and obtaining a preset number of second face images; respectively utilizing a pre-determined face image recognition model to perform age recognition on the second face images, and generating an age feature vector corresponding to each second face image; performing averaging treatment on each age feature vector to obtain an average age feature vector; carrying out age classification analysis on the average age feature vector by adopting a pre-determined age classification function, and obtaining an average age type corresponding to each second face image, wherein the average age type is an age type corresponding to the first face image. In this way, the problem that the training process of a face recognition model is large in calculation amount and low in efficiency in the prior art can be effectively avoided. The age classification accuracy based on face images can be improved.

Description

technical field [0001] The invention relates to the field of face recognition, in particular to an electronic device, an image-based age classification method and a storage medium. Background technique [0002] In recent years, with the development of face recognition technology, users have higher and higher requirements for face image recognition. According to the identified age groups, user preferences of different age groups, and popularity of products by users of different age groups are collected. [0003] At present, the commonly used face recognition technology needs to obtain a sample set composed of multiple face images for multi-age classification before performing age classification based on the face image, and use the samples that meet the current age group as the positive sample set. The samples of the age group are used as negative sample sets for training to generate a face image recognition model for age classification based on face images. Usually, the num...

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Problems solved by technology

[0004] In view of this, the present invention proposes an image-based age classification method, which can improve the accuracy of age classification based on face images, and can effectively avoid the problems of large amount of calculation and low efficiency in the face recognition model training process

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