Hello, My name is Sunny Solanki and in this video tutorial, I explain how to create a Web App/Dashboard to classify images. We use a pre-trained ResNet-50 model available from PyTorch to classify images. Our App displays the original image, the top 5 categories that our model predicts for the image, and another chart highlighting pixels that contributed to predicting the top category. The tutorial is a good starting point for someone learning to build an image classifier app.

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CODE - [ Ссылка ]
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Useful Tutorials:

* Captum Tutorial - [ Ссылка ]
* PyTorch Image Classification Tutorial - [ Ссылка ]
* Streamlit Dashboard with Tabs - [ Ссылка ]
* Streamlit Basic Dashboard - [ Ссылка ]

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Please feel free to visit CoderzColumn for more tutorials on Python.

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