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metadata
title: Vision Model Interpretability
emoji: 🔍
colorFrom: red
colorTo: yellow
sdk: gradio
sdk_version: 5.49.1
app_file: app.py
pinned: false
license: mit
short_description: Interactive Grad-CAM visualization

Vision Model Interpretability with Grad-CAM

David Schechter

Upload an image to:

  • classify it using ResNet-18
  • view the top-3 predictions
  • visualize a Grad-CAM heatmap highlighting the image regions that influenced the model’s decision

This demo explores model interpretability in computer vision by showing how gradients from a convolutional neural network can be used to explain predictions.