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Man Woman Face Image Detection

Developed by dima806
A high-precision gender classification model based on face images, with an accuracy of approximately 98.7%
Downloads 50.08k
Release Time : 10/3/2023

Model Overview

This model uses the Vision Transformer architecture and is specifically designed to identify gender (male or female) from face images, providing an efficient solution for scenarios such as identity recognition and advertising targeting.

Model Features

High accuracy
Achieved an accuracy of 98.7% on the test set, with an f1-score of 0.9871
Based on the ViT architecture
Adopts an advanced Vision Transformer base model with excellent feature extraction capabilities
Balanced performance
Shows balanced recognition performance for male and female categories (both precision and recall exceed 98.5%)

Model Capabilities

Face detection
Gender classification
Image analysis

Use Cases

Identity recognition
Intelligent access control system
Provide differentiated services based on the gender of visitors
Improve user experience and security
Advertising analysis
Targeted advertising placement
Display different advertising content based on the user's gender
Increase the advertising conversion rate
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