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Journals / Chaos Theory and Applications / 2023 / Cilt: 5 Sayı: 2

Prediction of Gender and Age Period from Periorbital Region with VGG16

Ömer Faruk AKMEŞE
Hüseyin ÇİZMECİ
Selim ÖZDEM
Fikri ÖZDEMİR
Emre DENİZ
Rabia MAZMAN
Murat ERDOĞAN
Esma ERDOĞAN
Pages
105–110
Publication Date
2023-07-31
DOI
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AI Summary & Key Takeaways

AI Insight
⚡ TL;DR(Too Long; Didn't Read)

As a result of this study, 99.41% success in age estimation and 95.73% in gender estimation was achieved.

📌 3 Key Takeaways

🎯
Objective & Hypothesis:Using deep learning methods, age and gender estimation from people’s facial area has become popular.
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Key Findings & Data:Recently, with the increase in the use of masks due to Covid-19, only the eye area of people is seen.
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Conclusion & Impact:As a result of this study, 99.41% success in age estimation and 95.73% in gender estimation was achieved.
🔬Design:Research Article
📍Scope:Comprehensive Sample
⚙️Variables:Deep learning · Age and Gender Prediction · VGG16

Abstract

Using deep learning methods, age and gender estimation from people’s facial area has become popular. Recently, with the increase in the use of masks due to Covid-19, only the eye area of people is seen. The periorbital region can give an idea about the person’s characteristics, such as age and gender. This study it is aimed to predict gender and age from images obtained by cutting the eye area from facial photographs of people using Visual Geometry Group-16 (VGG16). With the transfer learning method for age group (male, female) and gender group (child, youth, adults, and old) classification, 5714 images in the data set were used for the age group, and 3280 images were used for the gender group. As a result of this study, 99.41% success in age estimation and 95.73% in gender estimation was achieved.

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Cite This Article

AKMEŞE, Ö. F., ÇİZMECİ, H., ÖZDEM, S., ÖZDEMİR, F., DENİZ, E., MAZMAN, R., ERDOĞAN, M., ERDOĞAN, E. (2023). Prediction of Gender and Age Period from Periorbital Region with VGG16. Chaos Theory and Applications, Cilt: 5 Sayı: 2, 105–110. https://ajindex.com/articles/954976

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