https://github.com/spidy20/fruit_vegetable_recognition

This project is about Fruits-Vegetables classification application which is built using Deep Learning + Streamlit.
https://github.com/spidy20/fruit_vegetable_recognition

fruit-detection fruit-recognition fruit360 fruits-360 fruits-and-vegetables streamlit

Last synced: about 2 months ago
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This project is about Fruits-Vegetables classification application which is built using Deep Learning + Streamlit.

• Host: GitHub
• URL: https://github.com/spidy20/fruit_vegetable_recognition
• Owner: Spidy20
• Created: 2021-11-19T03:38:56.000Z (about 3 years ago)
• Default Branch: master
• Last Pushed: 2023-07-16T04:14:14.000Z (over 1 year ago)
• Last Synced: 2023-07-16T05:21:36.202Z (over 1 year ago)
• Topics: fruit-detection, fruit-recognition, fruit360, fruits-360, fruits-and-vegetables, streamlit
• Language: Jupyter Notebook
• Homepage:
• Size: 11.5 MB
• Stars: 31
• Watchers: 4
• Forks: 34
• Open Issues: 2
• Metadata Files:
  • Readme: README.md

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README

        
# Fruits🍍-Vegetable🍅 Classification

[![forthebadge made-with-python](http://ForTheBadge.com/images/badges/made-with-python.svg)](https://www.python.org/)                 

[![Python 3.6](https://img.shields.io/badge/python-3.6-blue.svg)](https://www.python.org/downloads/release/python-360/)   

## [Watch Tutorial for this project](https://youtu.be/cF6rMXZcuCs)



## Usage:-

- 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](https://www.kaggle.com/kritikseth/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.

## Screenshots





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