Face Data Collection Tool

A Python-based tool for capturing facial images using a webcam, designed for building structured datasets for machine learning and computer vision projects. This script leverages OpenCV's Haar Cascade for accurate face detection and organizes images by individual.

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📌 Features

• Real-Time Face Detection: Uses Haar Cascade to detect faces in a video stream.
• Dataset Creation: Automatically saves detected faces as images in a structured directory.
• User-Friendly Operation: Simple prompts for specifying individual names and easy-to-stop functionality.

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🛠️ Requirements

• Python 3.7 or higher
• OpenCV library (opencv-python)
• Functional webcam

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🚀 Installation

1. Clone this repository:

   git clone https://github.com/yashdbarot/facedetect.git
   

2. Navigate to the project directory:

   cd face-data-collection-tool
   

3. Install the required dependencies:

   pip install opencv-python
   

📖 Usage Guide

1. Run the script:

   python facedata2.py
   

2. Input the person's name when prompted. This will create a folder under dataset/ with the entered name.

3. Capture faces:

• The script detects and saves faces from the webcam feed.
• Up to 100 images are saved for each person or until you manually stop the script.

4. Exit the script: Press q to quit anytime.

📂 Dataset Structure

The captured images are organized in the dataset directory as follows:

dataset/
└── [person_name]/
  ├── image1.jpg
  ├── image2.jpg
  └── ...

📝 Notes

• The Haar Cascade XML file is loaded from OpenCV's default location. Update the path if necessary for custom installations.
• Ensure sufficient lighting for better face detection accuracy.
• Modify the script parameters (scaleFactor, minNeighbors, etc.) to fine-tune detection for your use case.

🤝 Contributing

Contributions are welcome! Feel free to fork the repository and submit pull requests for improvements or additional features.

💡 Acknowledgments

• OpenCV: For the powerful computer vision tools used in this project.
• Community: For inspiration and support in building practical AI solutions.