https://github.com/gokulnpc/fashion-mnist-image-classification

The web app uses a Convolutional Neural Network (CNN) model trained on the Fashion MNIST dataset to classify images of clothing.
https://github.com/gokulnpc/fashion-mnist-image-classification

convolutional-neural-networks deep-learning image-classification neural-network streamlit

Last synced: 9 days ago
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The web app uses a Convolutional Neural Network (CNN) model trained on the Fashion MNIST dataset to classify images of clothing.

• Host: GitHub
• URL: https://github.com/gokulnpc/fashion-mnist-image-classification
• Owner: gokulnpc
• Created: 2024-03-29T16:02:14.000Z (11 months ago)
• Default Branch: main
• Last Pushed: 2024-03-29T16:19:29.000Z (11 months ago)
• Last Synced: 2024-12-07T04:10:51.414Z (2 months ago)
• Topics: convolutional-neural-networks, deep-learning, image-classification, neural-network, streamlit
• Language: Jupyter Notebook
• Homepage: https://fashion-mnist-image-classification-gokulnpc.streamlit.app/
• Size: 1.67 MB
• Stars: 1
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

        
# Fashion MNIST Image Classification using CNN

This web app is created using Streamlit, a Python library used for creating web apps.

The web app uses a Convolutional Neural Network (CNN) model trained on the Fashion MNIST dataset to classify images of clothing.

The model is trained to classify images into 10 different classes of clothing:

1. T-shirt/top

2. Trouser

3. Pullover

4. Dress

5. Coat

6. Sandal

7. Shirt

8. Sneaker

9. Bag

10. Ankle boot

![alt text](image.png)

![alt text](image-1.png)

![alt text](image-2.png)

![alt text](image-3.png)