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 1 month ago
JSON representation
Streamlit demo for dog breed identification/classification
- Host: GitHub
- URL: https://github.com/titipata/dogbreed
- Owner: titipata
- Created: 2021-12-05T19:56:47.000Z (over 4 years ago)
- Default Branch: master
- Last Pushed: 2021-12-06T05:09:01.000Z (over 4 years ago)
- Last Synced: 2025-06-08T16:05:43.423Z (about 1 year 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: 1
- Forks: 1
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
Awesome Lists containing this project
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
