International Journal Of Imaging

Abstract

Ageand Gender Classification Via Deep Learning Techniques

Author: T.Vedasri, M Sanjay , K.Karthik,Dr.B.Laxmi Kantha

Abstract:

Recognizing individuals is an innate and vital aspect of human interaction, from identifying loved ones to acquaintances in professional settings. Age and gender serve as fundamental attributes in this process. As artificial intelligence (AI) continues to integrateinto variousaspectsofourlives,the fieldofcomputer sciencehaswitnessed a surge indemand for automated demographic analysis based on facialrecognition. This paper aims to fulfill this need by analyzing the demographics of populations through facial images, predicting both age and gender. The study focuses on age classification, gender classification, and age estimation from static facial images. Two distinct methodologies are explored: one employing deep Convolutional Neural Networks (CNNs) and the other utilizing transfer learning. The latter approach entails an exploration of various backbone models, including VGG16, ResNet50V2, ResNet152V2,Xception,InceptionV3,MobileNetV3Small,andMobile NetV3Large,to determi