Froom - Backend REST API Application with Clothing Classification and Color Recognition Modules

Table of Contents

1. Description
2. Installation
3. Category Classification
4. Color Recognition
5. License

Description

This is a REST API application that provides the following functionalities:

• Category Classification
• Color Recognition
• Image Processing
• Image Storage
• User Authentication
• User Authorization
• Outfit Recommendation
• Outfit creation

Installation

1. Clone the repository
2. Navigate to the root directory of the project
3. Configure the environment variables in the .env file
4. Run the following commands: docker-compose up --build
5. The application will be running on default port 8000

Category Classification

This module utilizes advanced machine learning models for clothing classification in images. It requires appropriately trained models that can be customized to specific needs.

Color Recognition

This module is based on algorithms analyzing colors in the RGB space. It provides recognition of basic colors present in images.

License

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