MiladSoleymani/Face_Demography

Face_Demography

This repository contains a project for demographic analysis using facial recognition and machine learning techniques.

Table of Contents

• Overview
• Requirements
• Installation
• Usage
• Repository Structure
• Contributing
• License

Overview

Face_Demography aims to analyze demographic attributes such as age, gender, and ethnicity from facial images. The project leverages deep learning models to perform these predictions accurately.

Requirements

• Python 3.x
• Required packages listed in requirements.txt

Installation

To set up the project, follow these steps:

1. Clone the repository:

   git clone https://github.com/MiladSoleymani/Face_Demography.git
   cd Face_Demography

2. Create a virtual environment and install dependencies:

   python -m venv venv
   source venv/bin/activate
   pip install -r requirements.txt

Usage

To run the demographic analysis, use the following command:

python script/predict.py --image_path path/to/image.jpg

For more detailed usage, refer to the scripts provided in the script directory.

Repository Structure

• dataset: Contains data preprocessing scripts and datasets.
• models: Includes the trained models and scripts for training.
• script: Contains scripts for running predictions and evaluations.
• utils: Utility functions and helper scripts.
• .gitignore: Specifies files to ignore in the repository.
• requirements.txt: Lists the dependencies required for the project.
• README.md: Project documentation.

Contributing

We welcome contributions to improve Face_Demography. Please fork the repository, create a new branch, and submit a pull request with your changes.

License

This project is licensed under the MIT License. See the LICENSE file for more details.