Fruits🍍-Vegetable🍅 Classification

Watch Tutorial for this project

Clone my repository.
Open CMD in working directory.
Run following command.
```
pip install -r requirements.txt
```
Fruits_Vegetable_Classification.py is the main Python file of Streamlit Web-Application.
Fruit_Veg_Classification_Mobilenet.ipynb is the Notebook file of the Training
Dataset that I have used is Fruit and Vegetable Image Recognition.
To run app, write following command in CMD. or use any IDE.
```
streamlit run Fruits_Vegetable_Classification.py
```
For more explanation of this project see the tutorial on Machine Learning Hub YouTube channel.

Name		Name	Last commit message	Last commit date
Latest commit History 7 Commits
19012022001_Case_Study_Report_DL.pdf		19012022001_Case_Study_Report_DL.pdf
App.py		App.py
FV.h5		FV.h5
Fruit_Veg_Classification_Mobilenet.ipynb		Fruit_Veg_Classification_Mobilenet.ipynb
Fruits_Vegetable_Classification.py		Fruits_Vegetable_Classification.py
README.md		README.md
ec2_api.py		ec2_api.py
requirements.txt		requirements.txt
sc1.PNG		sc1.PNG
sc2.PNG		sc2.PNG
yt_thumb.jpg		yt_thumb.jpg