https://github.com/al-jurjani/lstreamlit
This is a simple web classifier application built with Streamlit. This project was created as a learning exercise, following a tutorial. The application can classify images from the CIFAR-10 dataset.
https://github.com/al-jurjani/lstreamlit
image-classification keras machine-learning python streamlit tensorflow webapp
Last synced: about 2 months ago
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This is a simple web classifier application built with Streamlit. This project was created as a learning exercise, following a tutorial. The application can classify images from the CIFAR-10 dataset.
- Host: GitHub
- URL: https://github.com/al-jurjani/lstreamlit
- Owner: al-Jurjani
- Created: 2025-06-25T12:14:12.000Z (12 months ago)
- Default Branch: main
- Last Pushed: 2025-06-25T13:41:58.000Z (12 months ago)
- Last Synced: 2025-06-25T14:42:41.958Z (12 months ago)
- Topics: image-classification, keras, machine-learning, python, streamlit, tensorflow, webapp
- Language: Python
- Homepage: https://youtu.be/_Syn5SpWgZ0?feature=shared
- Size: 30.2 MB
- Stars: 0
- Watchers: 0
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
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README
# Streamlit Web Classifier
This project is a simple image classification web application built using Streamlit. It was developed as a learning project by following an online tutorial.
## Features
* Upload an image (JPG or PNG)
* The application uses a trained model to classify the image into one of the 10 CIFAR-10 classes.
* Displays the uploaded image.
* Shows a bar chart of the prediction probabilities for each class.
## Classes
The model can classify images into the following 10 categories:
* Airplane
* Automobile
* Bird
* Cat
* Deer
* Dog
* Frog
* Horse
* Ship
* Truck
## Acknowledgements
This project was created by following a tutorial on building machine learning applications with Streamlit.
Link to tutorial: https://youtu.be/_Syn5SpWgZ0?feature=shared