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--- |
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title: Cifar10 Classfication |
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emoji: 🚀 |
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colorFrom: green |
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colorTo: green |
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sdk: gradio |
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sdk_version: 3.39.0 |
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app_file: app.py |
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pinned: false |
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license: mit |
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--- |
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The Model is trying to predict an Image from the CIFAR10 dataset. |
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These are the following things the screen covers:- |
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Model - Resnet18 |
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For App - GradCam / Gradio |
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Dataset - CIFAR10 |
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1) Asks the user to upload a image |
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2) Show the users depending on his choice the gradcam image |
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3) Displays the list of 10 images to be classifed based on the CIFAR10 datasets |
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4) Allows the users to choose the predictions based on the inputs he/she has entered |
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5) Shows Missclassifed Images depending on the choice of the user(Max 10) |
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Special Thanks - |
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https://github.com/anantgupta129/ERA-V1/tree/main/easytorch |
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School of AI - https://theschoolof.ai/ |
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Mr. Rohan Shravan - https://www.linkedin.com/in/rohanshravan/ |
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without his guidance and persistance to teach and learn i would have never in my dreams thought of doing something like this. |
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Kudos to his efforts and helping us understand the nucances of AI. |
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Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference |
