Fairface Gender Image Detection Open-Source Model - Efficient and accurate identification of the gender of people in images

Fairface Gender Image Detection

Developed by dima806

An image gender classification model based on the Vision Transformer (ViT) architecture with an accuracy of approximately 93.4%

Downloads 5,605

Release Time : 11/24/2024

Model Overview

This model can detect gender (male/female) from images and provides an efficient gender classification solution for image analysis

High accuracy

Achieved 93.4% accuracy on the test set, with a precision of 95.3% for female recognition and 91.9% for male recognition

Based on ViT architecture

Uses Vision Transformer (ViT) as the base model, with excellent image feature extraction capabilities

Efficient solution

Provides a fast and accurate solution for the image gender classification task

Image gender classification

Facial feature analysis

Demographic analysis

Retail customer analysis

Analyze the gender distribution of customers in shopping malls or retail stores

Help merchants understand the characteristics of customer groups and optimize product display and marketing strategies

Security monitoring

Personnel feature recognition

Identify the gender characteristics of personnel in the security monitoring system

Enhance the intelligent analysis ability of the monitoring system

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