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A library to generate synthetic datasets for testing ML models

Project description

Super Synthetic Data Generator

A Python library to generate synthetic datasets for testing machine learning models. It supports:

  • Tabular Data
  • Text Data
  • Categorical Data
  • Image Data

Installation

pip install supersynthetic-data-generator

Usage

from supersynthetic_data_generator import generate_synthetic_dataset

Generate dataset with images

synthetic_data = generate_synthetic_dataset(rows=10, cols=3, categories=["Red", "Green", "Blue"],imagefolder_path="image_output_folderpath", image_count=10, image_size=(100, 100)) print(synthetic_data["dataset"]) print("Generated Images:", synthetic_data["images"])

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