databooster 0.1.0

A smart data augmentation tool for AI developers.

📌 databoostr

databoostr is a Python package designed for AI developers to automatically analyze and augment datasets when data is scarce. It supports both image and text augmentation techniques, making it an essential tool for machine learning projects requiring data balancing.

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🚀 Features

• Automatic Data Analysis: Checks dataset distribution and identifies class imbalances.
• Image Augmentation:
  • Rotation (90°, 180°, 270°)
  • Horizontal & Vertical Flipping
  • Brightness Adjustment
• Text Augmentation:
  • Synonym Replacement
  • Random Word Deletion
• Easy Integration: Simple API for applying augmentations automatically.

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📦 Installation

pip install databoostr  # (Future release)

For now, clone the repository:

git clone https://github.com/your-username/databoostr.git
cd databoostr

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🛠 Usage

1. Import and Initialize

from databoostr import DataBoostr

# Create an instance for image augmentation
augmentor = DataBoostr(dataset_path="path/to/images", mode="image")

2. Check Dataset Balance

balance = augmentor.check_data_balance()
print(balance)  # Output: {'class1': 120, 'class2': 80, 'class3': 50}

3. Apply Augmentation

For Images

augmentor.auto_augment()  # Applies augmentation and saves images in the same directory

For Text

augmentor_text = DataBoostr(dataset_path="path/to/text", mode="text")
augmentor_text.auto_augment()

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📁 Project Structure

databoostr/
│── databoostr.py  # Main package module
│── utils.py  # Data analysis utilities
│── image_augment.py  # Image augmentation methods
│── text_augment.py  # Text augmentation methods
│── __init__.py

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🎯 Roadmap

• Add advanced augmentation techniques
• Implement custom augmentation strategies
• Publish on PyPI
• Integrate with TensorFlow & PyTorch

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🤝 Contributing

We welcome contributions! Feel free to fork the repository and submit a pull request.

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📜 License

MIT License © 2025 Your Name

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🌟 Show Your Support

If you like databoostr, consider starring ⭐ the repository!