Gender and Age Detection Using Image Classification and Regression

Abstract

Classification and regression datasets are utilised in tandem with deep learning approaches to ascertain the characteristics of individuals, such as their gender and age. Stagewise or phase by phase in terms of time, the activities conducted are given below: data used, training algorithm applied, and accuracy of 89% and 92% for age and gender classification, respectively. Through the work, it can be derived that it has primary components that can be useful for preceding research, and, of course, it’s good for demonstrating that deep learning can be applied in facial recognition jobs. Besides that, a confirmation section will be included to enable those who wish to dig deeper into this topic to verify the information source.