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| title: Pytorch Lighting | |
| emoji: π’ | |
| colorFrom: purple | |
| colorTo: indigo | |
| sdk: gradio | |
| sdk_version: 3.39.0 | |
| app_file: app.py | |
| pinned: false | |
| license: mit | |
| Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference | |
| Pytorch Lighting | |
| π Features: | |
| π¨ GradCAM Visualization: User can adjust the visualization opacity and select model layers to be used. | |
| π« Misclassified Images: View where the model went wrong. | |
| π· Image Upload & Examples: User can test prediction on new images which can be uploaded. | |
| π₯ Top Predictions: View model's top class predictions (up to 10). | |
| π How to Use: | |
| π₯ Choose an Image: Upload your own or pick from the examples. | |
| ποΈ Tweak Settings: Adjust sliders for GradCAM, top predictions, and misclassified images. | |
| π’ Submit: Click to get results. | |
| β Feedback/Contribution: Got suggestions or wish to help? Reach out! | |
| Usecase: This interface uses a ResNet18 model trained on CIFAR10. GradCAM visualizations highlight the model's focus. | |
| β οΈ Note: Best with CIFAR10-related images. | |