https://github.com/titipata/dogbreed

Streamlit demo for dog breed identification/classification
https://github.com/titipata/dogbreed

streamlit streamlit-webapp torchvision transfer-learning

Last synced: about 2 months ago
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Streamlit demo for dog breed identification/classification

• Host: GitHub
• URL: https://github.com/titipata/dogbreed
• Owner: titipata
• Created: 2021-12-05T19:56:47.000Z (about 3 years ago)
• Default Branch: master
• Last Pushed: 2021-12-06T05:09:01.000Z (about 3 years ago)
• Last Synced: 2024-10-30T04:55:10.226Z (3 months ago)
• Topics: streamlit, streamlit-webapp, torchvision, transfer-learning
• Language: Python
• Homepage: https://share.streamlit.io/titipata/dogbreed/st_dogbreed.py
• Size: 5.95 MB
• Stars: 3
• Watchers: 2
• Forks: 1
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

        
# Dog Breed Classification Example

Run the following command to test the app locally

```py

streamlit run https://raw.githubusercontent.com/titipata/dogbreed/master/st_dogbreed.py

```

This will load `inception_v3` pretrained model and the assigned

pretrained weights for dog breed classification. Then, we pass an

image to classify a dog breed.

## Example demo