Digit recognization Master
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$10.00
Description:
Digit Recognition Master is an advanced tool for recognizing and classifying handwritten digits using machine learning. It simplifies digit recognition tasks for educational, financial, and form-processing applications.
Features:
- Trained models based on the MNIST dataset for accurate digit classification.
- Integration with real-time input through image or handwriting detection.
- Lightweight deployment for web or mobile platforms.
Requirements:
- Python 3.8+ with libraries like TensorFlow or PyTorch.
- MNIST dataset for training or testing purposes.
- OpenCV for preprocessing input images.
Instructions:
- Install required libraries using
pip install tensorflow opencv-python. - Load the MNIST dataset and preprocess images for training.
- Train the model or use the pre-trained version for inference.
- Integrate the model into your application for digit recognition.
License:
For personal and professional use. You cannot resell or redistribute these repositories in their original state.
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