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 Kushal Bhavsar Code updated.. Dec 10, 2022 b248be9 · Dec 10, 2022 History 5 Commits
19012022001_Case_Study_Report_DL.pdf	19012022001_Case_Study_Report_DL.pdf	Add files via upload	Dec 11, 2021
App.py	App.py	EC2 API Added	Dec 7, 2022
FV.h5	FV.h5	Initial commit	Nov 19, 2021
Fruit_Veg_Classification_Mobilenet.ipynb	Fruit_Veg_Classification_Mobilenet.ipynb	Initial commit	Nov 19, 2021
Fruits_Vegetable_Classification.py	Fruits_Vegetable_Classification.py	EC2 API Added	Dec 7, 2022
README.md	README.md	Update README.md	Nov 19, 2021
ec2_api.py	ec2_api.py	Code updated..	Dec 10, 2022
requirements.txt	requirements.txt	Code updated..	Dec 10, 2022
sc1.PNG	sc1.PNG	Initial commit	Nov 19, 2021
sc2.PNG	sc2.PNG	Initial commit	Nov 19, 2021
yt_thumb.jpg	yt_thumb.jpg	Initial commit	Nov 19, 2021