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README.md
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Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference
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Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference
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Pytorch Lighting
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π Features:
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π¨ GradCAM Visualization: User can adjust the visualization opacity and select model layers to be used.
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π« Misclassified Images: View where the model went wrong.
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π· Image Upload & Examples: User can test prediction on new images which can be uploaded.
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π₯ Top Predictions: View model's top class predictions (up to 10).
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π How to Use:
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π₯ Choose an Image: Upload your own or pick from the examples.
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ποΈ Tweak Settings: Adjust sliders for GradCAM, top predictions, and misclassified images.
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π’ Submit: Click to get results.
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β Feedback/Contribution: Got suggestions or wish to help? Reach out!
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Usecase: This interface uses a ResNet18 model trained on CIFAR10. GradCAM visualizations highlight the model's focus.
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β οΈ Note: Best with CIFAR10-related images.
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