Deep Learning Models for Age and Gender Prediction using Facial Images
Shikha Prasher, Leema Nelson, Deepak Arumugam · 2024
In recent years, there have been notable developments in facial recognition technology, with deep learning models being crucial in enhancing accuracy and dependability. Age and gender prediction, also known as demographic prediction, is an area of study that uses various computational algorithms to estimate the age and gender of persons based on diverse data sources. In this research, an approach to deep learning to accurately identify the age group and gender of face imagery and investigation focuses on the efficacy of two cutting-edge deep learning models, ResNet152V2 for gender prediction and VGG16 for age prediction, when it comes to estimating age and gender from facial photos. After being trained on a sizable collection of face photos, the models together attained remarkable accuracy rates. the integration of the two models' predictions to produce a single model that predicts gender and age at the same time. The overall accuracy of 89.84% is attained by this combined model, indicating the ability of deep learning algorithms to reliably predict demographic data from facial photos.