Real-Time Age and Gender Detection

This project demonstrates real-time age and gender detection using computer vision techniques. It utilizes pre-trained deep learning models to detect faces, estimate age, and classify gender from webcam input.

Getting Started

Prerequisites

• Python 3.x
• OpenCV (cv2)
• Pre-trained models:
  • Face detection model (deploy.prototxt.txt and res10_300x300_ssd_iter_140000.caffemodel)
  • Gender classification model (gender_deploy.prototxt and gender_net.caffemodel)
  • Age estimation model (age_deploy.prototxt and age_net.caffemodel)

Installation

1. Clone the repository:

   git clone https://github.com/your-username/real-time-age-gender-detection.git

2. Download the pre-trained models and place them in the project directory.

Usage

1. Run the script:

   python age_gender_detection.py

2. The webcam will open, and the real-time age and gender detection will start. Press 'q' to exit.

Acknowledgments

• The face detection model is based on the SSD framework.
• The gender classification and age estimation models are based on the Caffe framework.