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Mosaico_XAI

This repository contains explainability and interpretability tools for the mosquito classification CNN model trained in the Mosaico_train repository.

🔎 Explainability Methods Implemented

  • GradCAM
  • GradCAM++
  • Guided GradCAM
  • Other saliency visualization techniques

These methods help verify that the model bases its predictions on relevant visual features, consistent with expert entomologist knowledge.

🎯 Goals

  • Provide visual explanations of model decisions.
  • Support model validation and debugging.
  • Increase trust in model predictions through transparency.

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Explainability tools for the Mosaico mosquito classification model, using GradCAM, GradCAM++, Guided GradCAM, and saliency maps to validate decisions against expert reasoning.

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