AGE AND GENDER PREDICTION USING MACHINE LEARNING
DOI:
https://doi.org/10.59367/0g0kpv68Keywords:
Age, Gender, Detection, Features, Extraction, Data Visualization, Classify, CNN, proposed framework, Training dataAbstract
Because of its wide range of applications in a variety of facial investigations, automatic age and gender prediction from face photos has recently gained a lot of attention. Automatic age and gender prediction from face images has lately attracted much attention due to its wide range of applications in numerous facial analyses. We show in this study that utilizing the Caffe Model Architecture of Deep Learning Frame Work; we were able to greatly enhance age and gender recognition by learning representations using deepconvolutional neural networks (CNN). We propose a much simpler convolutional net architecture that can be employed even if no learning data is available. In a recent study presenting a potential benchmark for age and gender estimation, we show that our strategy greatly outperforms existing state-of-the-art methods.
References
VEENA N V, CHIPPY MARIA ANTONY,” AGE AND GENDER RECOGNITION USING DEEP LEARNING” IJCRT
Sai TejaChalla, SowjanyaJindam, Ruchitha Reddy Reddy, KalathilaUthej, “Age and Gender Prediction using Face Recognition “,International Journal of Engineering and Advanced Technology (IJEAT) ISSN: 2249-8958 (Online), Volume-11 Issue-2, December 2021
R.Varun Reddy, 2A.Haritha Reddy, 3Abdul Kareem, 4Dr. R. Lakshmi Priya,”Age and gender detection using deep learning”, International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395-0056 Volume: 10 Issue: 01 | Jan 2023
Tamilselvi K B,SnekaS,SowmyaM,VaishnaviM,Sathiya S,” Age and Gender Prediction Using Deep Learning “,International Journal of Progressive Research in Engineering Management and Science(Peer-Reviewed, Open Access, Fully Referred International Journal)
Mahija Kante, Dr. Esther Sunandha Bandaru ,”Age and Gender Detection using OpenCV”, International Journal of Advance Research, Ideas and Innovations in Technology
Mr. Aditya Kulkarni, Mr. Parth Joshi, Mr. ShaunakSindgi, Mr. ShreyasRakshasbhuvankar, Mr. Vivek Kumar, Prof. MadhaviDachawar Detection of Gender and Age using Machine Learning IJRASET48268
Ritvi Vijay Shrivastav*1, Vinod Agrawal*2 ,” PREDICTION AND VALIDATION OF AGE AND GENDER USING SINGLE DATA “International Research Journal of Modernization in Engineering Technology and Science
Shraddha Thorat 1 , Aditya Bhavar 2 , AtharvaShirole 3 , Sakshi Mindhe4 ,” Age and Gender Prediction Using Transfer Learning “IJIRMPS230210
Koichi Ito ,Hiroya Kawai, TakehisaOkanoandTakafumiAoki,,”Age and Gender Prediction from Face Images Using Convolutional Neural Network”, Proceedings, APSIPA Annual Summit and Conference 2018
LowleshNandkishorYadav,”Predictive Acknowledgement using TRE system to reduce cost and Bandwidth”,IJRECE VOL.7 ISSUE1 (JANUARY-MARCH 2019) pg no 275-278
Downloads
Published
Issue
Section
License
Copyright (c) 2024 International Journal of Futuristic Innovation in Arts, Humanities and Management (IJFIAHM)
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.
