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mlclassification's Introduction

Image Classification of Hotels and Non-Hotels

This project is carried out for the purpose of building a machine learning model for classifying images of Hotes from Non-hotels

Getting Started

These instructions will get you a copy of the project up and running on your local machine for development and testing purposes.

Prerequisites

Python distribution

Anaconda

Installing

Install Anaconda python distribution on your system

Use the pip package to create virtual environment (VENV) using the requirements file

pip3 install requirements.txt

If there is an app folder skip this step

python3 -m venv app

Activate the virtual environment (VENV)

LINUX/Mac: source app/bin/activate

Windows: app\Scripts\activate.bat

Install dependencies in VENV using requirements file

pip3 install -r  env/requirements.txt

Deployment

Start app (Make sure to enter a valid path to a file or a folder)

python3 app.py filepath

Example of valid path

python3 app.py ./kimono-1986491_640.jpg
python3 app.py ./predict

Train App

python3 train_model.py

Built With

Documentation

Read documentation here

License

This project is licensed under the MIT License - see the LICENSE.md file for details

Acknowledgments

  • Hat tip to anyone whose code was used
  • Inspiration
  • etc

mlclassification's People

Contributors

ephraimbuddy avatar vahiwe avatar emkaydauda avatar geekyadams avatar josh4324 avatar 5iga avatar danieletukudo avatar parakconcepts avatar cornzyblack avatar ibnahmadbello avatar dannyml-dsc avatar mrdvince avatar tooluloope avatar oranyenonso avatar olumidesan avatar darichcastle avatar akinduko avatar tosi-n avatar yomaokobiah avatar lpmatrix avatar kene111 avatar babageedhey avatar louiseyoma avatar the-indigo avatar udohsolomon avatar kayceedev avatar markessien avatar owebiwan avatar sam-wyre avatar believeohiozua avatar

Watchers

James Cloos avatar

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