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20 December 2024
Reseach Article

Convolutional Neural Networks for Prediction of Age and Gender

by Sonika Malik, Suyash Awasthy, Shivansh Sondhi, Rachit Singh
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 185 - Number 29
Year of Publication: 2023
Authors: Sonika Malik, Suyash Awasthy, Shivansh Sondhi, Rachit Singh
10.5120/ijca2023923043

Sonika Malik, Suyash Awasthy, Shivansh Sondhi, Rachit Singh . Convolutional Neural Networks for Prediction of Age and Gender. International Journal of Computer Applications. 185, 29 ( Aug 2023), 40-45. DOI=10.5120/ijca2023923043

@article{ 10.5120/ijca2023923043,
author = { Sonika Malik, Suyash Awasthy, Shivansh Sondhi, Rachit Singh },
title = { Convolutional Neural Networks for Prediction of Age and Gender },
journal = { International Journal of Computer Applications },
issue_date = { Aug 2023 },
volume = { 185 },
number = { 29 },
month = { Aug },
year = { 2023 },
issn = { 0975-8887 },
pages = { 40-45 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume185/number29/32878-2023923043/ },
doi = { 10.5120/ijca2023923043 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-07T01:27:24.083369+05:30
%A Sonika Malik
%A Suyash Awasthy
%A Shivansh Sondhi
%A Rachit Singh
%T Convolutional Neural Networks for Prediction of Age and Gender
%J International Journal of Computer Applications
%@ 0975-8887
%V 185
%N 29
%P 40-45
%D 2023
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Automatic age and gender prediction from face images has recently attracted important attention due to its wide range of operations in multitudinous facial analyses. We show in this study that exercising the Caffe Model Architecture of Deep Learning Framework; we were suitable to greatly enhance age and gender recognition by learning representations using deep convolutional neural networks (CNN). The designed methodology preprocesses the input image before performing point birth using the convolutional neural network (CNN) strategy. This network excerpts dimensional characteristics from the source face image, followed by the point selection strategy. The proposed system is estimated using bracket rate, perfection, and recall using Adience dataset, and real-world images parade excellent performance by achieving good prediction results and calculation time.

References
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Index Terms

Computer Science
Information Sciences

Keywords

CNN Caffe architecture Gender Age Deep learning