Facial Age Estimation Using Machine Learning Techniques: An Overview

Automatic age estimation from facial images is an exciting machine learning topic that has attracted researchers’ attention over the past several years. Numerous human–computer interaction applications, such as targeted marketing, content access control, or soft-biometrics systems, employ models to carry out secondary tasks user filtering identification. Despite vast array of applications could benefit automatic estimation, building system comes with issues data disparity, unique ageing pattern each individual, and photo quality. This paper provides a survey on standard methods models, benchmark datasets for these some latest proposed pieces literature introduce new methods. Finally, we present discuss evaluation metrics used assess models. In addition survey, identified gaps in reviewed recommendations future research.