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Akshat Sachan

Welcome to Fruits🍍-Vegetables🍅 Classification ML Web-App 👋

Version Documentation License: MIT

Fruits🍍-Vegetables🍅 Classification

APP PREVIEW

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Install

pip install -r requirements.txt

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.

  • Kaggle notebook - NoteBook.

Run

streamlit run Fruits_Vegetable_Classification.py

👤 Akshat Sachan

Akshat Sachan

👤 Ishita Sharma

IshitaSharma3101

👤 Rohan Sachdeva

rsachdeva1020

👤 Vinay Kumar

vk1jan

👤 Shrishti Agrawal

Shrishti Agrawal


Show your support

Give a ⭐️ if you liked this project or it helped you!

📝 License

Copyright © 2021 Akshat Sachan
This project is MIT licensed.

MIT License


Copyright (c) 2021 AKSHAT SACHAN

Permission is hereby granted, free of charge, to any person obtaining a copy
of this software and associated documentation files (the "Software"), to deal
in the Software without restriction, including without limitation the rights
to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
copies of the Software, and to permit persons to whom the Software is
furnished to do so, subject to the following conditions:

The above copyright notice and this permission notice shall be included in all
copies or substantial portions of the Software.

THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
SOFTWARE.

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