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.

This project is about Fruits-Vegetables classification application which is built using Deep Learning + Streamlit.

Language:Jupyter Notebook 98.5%Language:Python 1.5%