jaydeep-work / 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).

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 - [email protected]

Acknowledgments

• Segment Anything (by Meta)
• lime