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preprocessing

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The CIFAKE project is a comprehensive effort to develop and implement techniques for distinguishing between AI-generated images and real images. This project leverages a combination of preprocessing techniques, feature extraction, machine learning, and deep learning models to accurately classify images.

  • Updated Jul 3, 2024
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Culled from the UCI Machine Learning Repository, the Dry Bean Dataset (licensed under CC BY 4.0) provides valuable insights into bean classification and is a valuable resource for machine learning enthusiasts.

  • Updated Jul 2, 2024
  • Jupyter Notebook

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