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LIME-SAM aims to create an Explainable Artificial Intelligence (XAI) framework for image classification using LIME (Local Interpretable Model-agnostic Explanations) as the base algorithm, with the super-pixel method replaced by Segment Anything by Meta (SAM).

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LIME-SAM

LIME-SAM aims to create an Explainable Artificial Intelligence (XAI) framework for image classification using LIME (Local Interpretable Model-agnostic Explanations) as the base algorithm, with the super-pixel method replaced by Segment Anything by Meta (SAM).

Results

*all the images used in below figure can also be found in 'results' folder.

Examples

Keras image classifier

Roadmap

  • Add Keras example
  • Add Pytorch example
  • Try diverse pre-trained model to compare our results with LIME
  • Create python package

Contact

Jaydeep Dedaniya - jaydeepdedaniya@gmail.com

Acknowledgments

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LIME-SAM aims to create an Explainable Artificial Intelligence (XAI) framework for image classification using LIME (Local Interpretable Model-agnostic Explanations) as the base algorithm, with the super-pixel method replaced by Segment Anything by Meta (SAM).

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