dog classifier web app

Build an end to end Deep learning application, which can classify 120 different dog breeds.
Used models from tensoflow applications and tensorflow hub , later used the best model in my case mobilenet_v2_130_224 and later added costume layers for our prediction
the front end of is created with Streamlit

Deployed Here

Clone this repo and install the required packages:

pip3 install -r requirements.txt

To run streamlit app

streamlit run app.py

dog_small.mp4

Name		Name	Last commit message	Last commit date
Latest commit History 32 Commits
dog-breed-identification		dog-breed-identification
Dogs_classifier.ipynb		Dogs_classifier.ipynb
Dogs_classifier1.ipynb		Dogs_classifier1.ipynb
Dogs_classifier_new.ipynb		Dogs_classifier_new.ipynb
LICENSE		LICENSE
Procfile		Procfile
README.md		README.md
app.py		app.py
dogs.py		dogs.py
dogs_classifier.h5		dogs_classifier.h5
mobilenet_v2_130_224_weights_final_3.h5		mobilenet_v2_130_224_weights_final_3.h5
requirements.txt		requirements.txt
setup.sh		setup.sh