harikishanm96/Resnet18_Cifar10

Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference

Interface features:

1. 1.Visualization Control: Adjust the opacity and choose model layers for GradCAM visualization to better understand the model's focus.

1. 1.Misclassification Insights: Explore misclassified images to gain insights into where the model made errors.

1. 1.Image Upload & Examples: Upload your own images or select from provided examples to see the model's predictions.

1. 1.Top Predictions: View the model's top predictions for the uploaded image, with the option to display up to 10 classes.

1. 1.Usage Guidance:

Upload Image: Choose an image either by uploading your own or selecting from the provided examples.

Adjust Settings: Fine-tune GradCAM opacity, select model layers, and explore misclassified images using sliders.

Submit: Click the submit button to get the model's predictions and GradCAM visualization.

1. 1.Background Information: This interface utilizes a ResNet18 model trained on the CIFAR10 dataset. GradCAM visualizations highlight the areas of focus within the images as identified by the model.