README.md

metadata

title: Cifar10 Classfication
emoji: 🚀
colorFrom: green
colorTo: green
sdk: gradio
sdk_version: 3.39.0
app_file: app.py
pinned: false
license: mit

The Model is trying to predict an Image from the CIFAR10 dataset. These are the following things the screen covers:-

Model - Resnet18 For App - GradCam / Gradio Dataset - CIFAR10

1. Asks the user to upload a image
2. Show the users depending on his choice the gradcam image
3. Displays the list of 10 images to be classifed based on the CIFAR10 datasets
4. Allows the users to choose the predictions based on the inputs he/she has entered
5. Shows Missclassifed Images depending on the choice of the user(Max 10)

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