What does it do:
- It classifies dog based on breed using state of the art CNNs and NN head
- It accurately classifies 95% of the breeds
- Run backend:
a. From root of this repo path, do
cd backend
b. Create new conda environment withpython=3.11
c.pip install -r requirements.txt
d.python main.py
- Run frontend:
docker run -p 3000:3000 randomlogic01/dogs171front:latest
- Go to localhost:3000 on your web browser