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Research Article

Using Convolutional Neural Network for detecting Age and Gender by analyzing face patterns

  • Paper ID 612
  • Volume 3, Issue 4
  • Pages 15-18
  • Published Online: July-August 2022
  • 4 Views
Open Access Peer Reviewed

Authors

  • Atharva Pardeshi1
  • Atharva Dhalgade2
  • Fardeen Sayyed3
  • Anuradha Panavkar4

1234 Department of Information Technology, MIT ADT University, Pune, Maharashtra, India.

Article Information

DOI
No DOI
Published Online
July-August 2022
Pages
15-18
Article Type
Research Article
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Abstract

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Abstract: Automatic age and gender classification has a common use in age specific content access for children.Social media uses it in delivering layered ads and marketing to extend it's a reach. More or less, age estimation from the face is still a challenging problem due to the effects from many internal factors, such as gender and race, and external factors, such as environments and lifestyle. In this paper, webring forward deep CNN to improve age and gender predication from remarkable results can be obtained and a noteworthy improvement can be seen in various tasks such as face recognition. A simple Convolutional Network Architecture is proposed to make a noticeable improvement in this field using existing methods.

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  • ISSN 2582-8746
  • Open Access
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