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A newer version of the Gradio SDK is available:
6.1.0
Basic Explainability Test Images
This folder contains images optimized for testing prediction and explanation quality.
📸 Recommended Images
What to Include:
- Clear Single Objects: Cat, dog, car, bird
- Complex Scenes: Multiple objects, cluttered backgrounds
- Ambiguous Cases: Similar classes (husky vs wolf)
- Different Angles: Top, side, close-up views
Current Images:
cat_portrait.jpg- Clear cat face for attention testingdog_portrait.jpg- Dog portrait for GradCAMbird_flying.jpg- Action shot for dynamic featuressports_car.jpg- Vehicle with distinct featurescoffee_cup.jpg- Common object test
🧪 Testing Guide
Test Attention Visualization:
1. Upload cat_portrait.jpg
2. Try different layers (0, 6, 11)
3. Observe how attention evolves
Test GradCAM:
1. Upload sports_car.jpg
2. Select GradCAM method
3. Check if wheels/body are highlighted
Test GradientSHAP:
1. Upload bird_flying.jpg
2. Select GradientSHAP
3. Verify wing/head importance
💡 Tips
- Use high-resolution images (> 224px)
- Ensure good lighting
- Center the main subject
- Avoid heavy compression