Cassava-Leaf-Disease-Detection-Kaggle-Competition-Deployment
This repository contains an initial deployment project code for cassava leaf disease detection competition hosted on github.
Steps to run:
1.) Install Streamlit locally.
2.) streamlit run [path to directory]\main_app.py [ARGUMENTS]
Note: Trained Model files can be downloaded from Releases Section.
Some Quick Points:
1.) The trained models used here are for demo and don't have a very good accuracy , soon I will be updating code and trained ML models used by me during competition.
2.) This Initial Project Deployment is demo and is a work in progress with sole purpose for understanding machine learning model deployment