📞 +91-7667918914 | ✉️ iarjset@gmail.com
International Advanced Research Journal in Science, Engineering and Technology
International Advanced Research Journal in Science, Engineering and Technology A Monthly Peer-Reviewed Multidisciplinary Journal
ISSN Online 2393-8021ISSN Print 2394-1588Since 2014
IARJSET aligns to the suggestive parameters by the latest University Grants Commission (UGC) for peer-reviewed journals, committed to promoting research excellence, ethical publishing practices, and a global scholarly impact.
← Back to VOLUME 11, ISSUE 4, APRIL 2024

Human Age and Gender Estimation from Images in Real Time Applications

Tejaswini G, Shreya U Naidu, Sneha D, Supreetha E M, Usha Rani J

👁 3 views📥 0 downloads
Share: 𝕏 f in

Abstract: "Human Age and Gender Estimation from Images in Real Time Applications" is a technique for age and gender classification using python algorithms. Human identification and classification are being utilized in various field for very long time. Fields like Government ID cards, Verification procedures etc. Now a days a huge number of messages are being shared via internet, this requires to detect the age and gender automatically who write those messages. Our model helps in classifying the age range and gender.

Keywords: Face detection, Age-range, Gender and Emotions.

How to Cite:

[1] Tejaswini G, Shreya U Naidu, Sneha D, Supreetha E M, Usha Rani J, “Human Age and Gender Estimation from Images in Real Time Applications,” International Advanced Research Journal in Science, Engineering and Technology (IARJSET), DOI: 10.17148/IARJSET.2024.11469

Creative Commons License This work is licensed under a Creative Commons Attribution 4.0 International License.