tosi-n/mlclassification

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

Activate the virtual environment (VENV)

source app/bin/activate

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

Example of valid path

File path: ./predict/hotel/kimono-1986491_640.jpg

Folder path: ./predict

Train App

Make sure to enter absolute path

python3 train_model.py

Built With

• Anaconda - The python distribution used
• VS Code - The IDE used

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