A multi-label age estimation method based on convolutional neural network
A convolutional neural network, multi-label technology, applied in the field of multi-label age estimation based on convolutional neural network, can solve the problems of inaccurate age estimation, poor robustness, etc., to alleviate the uneven age distribution, short running time, The effect of enhancing correlation
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[0042] In order to make the object, technical solution and advantages of the present invention clearer, the present invention 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 invention, not to limit the present invention. In addition, the technical features involved in the various embodiments of the present invention described below can be combined with each other as long as they do not constitute a conflict with each other.
[0043] The overall idea of the present invention is to propose a multi-label age estimation method based on convolutional neural network, which can be divided into three parts: 1. Collection and preprocessing of face age data sets, including collecting network training samples Set, perform preprocessing such as face detection, alignment, and cropping on face samples, and establish a correspond...
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