Gender Classification Using Face Vectors: A Deep Learning Approach Without Classical Models

In recent years, deep learning techniques have become increasingly prominent in face recognition tasks, particularly through the extraction and classification of face vectors. These vectors enable the inference of demographic attributes such as gender, age, and ethnicity. This study introduces a gen...

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Bibliographic Details
Main Authors: Semiha Makinist, Galip Aydin
Format: Article
Language:English
Published: MDPI AG 2025-06-01
Series:Information
Subjects:
Online Access:https://www.mdpi.com/2078-2489/16/7/531
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