Image Age and Gender Recognition

This Python project uses pre-trained models to estimate the age and gender of a person in an image. It utilizes both TensorFlow for age and gender estimation and OpenCV for face detection and landmarks extraction. Additionally, it includes support for using Caffe models for age and gender estimation.

Table of Contents

• Getting Started
• Usage
• Dependencies
• Contributing
• License
• Contact Information

Getting Started

These instructions will help you get a copy of the project up and running on your local machine.

1. Clone the Repository:

   git clone https://github.com/your-username/image-age-gender-recognition.git
   cd image-age-gender-recognition

2. Install Dependencies:

   pip3 install -r requirements.txt

3. Run the Application:

   python3 main.py

Usage

The application can be run using the following command:

python3 main.py

The application will then prompt you to enter the path to the image you want to process. After entering the path, the application will process the image and display the results.

Dependencies

• TensorFlow
• OpenCV
• Caffe
• NumPy

Contributing

If you'd like to contribute to this project, please check the contribution guidelines for more information.

License

This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.

Contact Information

For questions or feedback, please contact the author:

• Author: Dilshan M. Karunarathne
• Email: ceo@altier.tech
• Website: http://altier.tech