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Gender Classification 2

Developed by rizvandwiki
This is an image classification model based on the PyTorch framework and generated using HuggingPics tools, specifically designed for gender classification tasks.
Downloads 906.98k
Release Time : 12/12/2022

Model Overview

The model can accurately identify gender features in images and is suitable for applications requiring gender classification.

Model Features

High Accuracy
The model achieves 99.1% accuracy in gender classification tasks.
Automated Generation
Automatically generated using HuggingPics tools, simplifying the model creation process.
Easy Deployment
Includes a Google Colab demo for quick deployment and testing.

Model Capabilities

Image Classification
Gender Recognition

Use Cases

Identity Verification
Facial Recognition System
Used to identify user gender, enhancing system personalization settings.
High accuracy ensures reliable gender classification.
Market Analysis
Customer Profiling
Analyze customer gender distribution to optimize marketing strategies.
Fast and accurate gender classification improves analysis efficiency.
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