Abstract
Age classification and estimation is an important task in classifying face images. One way to classify humans by age is by using two-dimensional images of people's faces. In order to create an accurate algorithm for age classification, appropriate datasets for training and testing are required. A small number of datasets are available for age estimation and classification based on images of human faces. In order to develop a more accurate algorithm, this paper compares existing age estimation databases and describes the process of creating a private database ageCFBP (Center for Forensics, Biometrics and Privacy age database) with facial images useful for age estimation and classification.
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