GENDER AND AGE DETECTION USING IMAGE CLASSIFICATION AND REGRESSION

Abstract

Classification and regression datasets are used, in conjunction with deep learning techniques, to determine the type of individual (e.g., gender and age). Stage-wise or phase-by-phase in terms of time, the activities conducted are given below: data used, training algorithm applied, and the use of accurate 89% and 92% for age and gender classification, respectively. Through the work, it can, however, be inferred that it has primary components that can be helpful for prior research, and, of course, it’s suitable for demonstrating that deep learning can be applied to facial recognition tasks. Additionally, a confirmation section will be included to allow those who wish to dig deeper into this topic to verify the source of the information.