Explaining food image predictions

You have a model that classifies food, and your task is to use LIME to identify the regions the model mostly focuses on while making its prediction for the image below.

The model responsible for predictions, the model_predict function and the sample image shown below are pre-loaded for you.

Image for fries

This exercise is part of the course

Explainable AI in Python

View Course

Exercise instructions

Create a LIME image explainer named explainer.
Generate an explanation for the model's prediction on the given image.
Extract the areas of interest from the image based on the model's explanation.

Hands-on interactive exercise

Have a go at this exercise by completing this sample code.

from lime import lime_image
np.random.seed(10)

# Create a LIME explainer
explainer = ____

# Generate the explanation
explanation = explainer.____(____, ____, hide_color=0, num_samples=50)

# Display the explanation
temp, _ = explanation.____(____, ____)
plt.imshow(temp)
plt.title('LIME Explanation')
plt.axis('off')
plt.show()

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