Age and Gender Prediction Using Deep Learning
Shobhit Yadav , Ashutosh Somavanshi, Teertharaj Haldar, Prof. Rupali satpute
DOI : 10.46335/IJIES.2023.8.3.11
Abstract – Attribute information such as age and gender improve the performance of face recognition. A data of pertained images is taken that are used to train model using HAAR Feature-based Cascade Classifiers and our main objective is to train a model which can predict age and gender in most efficient way. We are using CNN deep learning method because it is time consuming and the process gives defined results of large dataset.
