Labelbox Web App

Labelbox is a web application that enables efficient and scalable data annotation tasks, specifically for image annotation. The project is designed to ensure that all annotation projects/tasks are stored in a database, and that annotated data is processed and stored without any dependency on local device storage.

Table of Contents

• Description
• Features
• Technologies Used
• Installation
• Usage
• API Endpoints
• Contributing
• License

Description

Labelbox Web App allows users to annotate images for data analysis tasks. This system is designed to:

• Store annotation projects/tasks in a database.
• Fetch images for annotation from the database.
• Output annotated data into a database without storing or downloading any data on the user’s local device.

This project is built to be scalable, secure, and cloud-ready, providing a seamless experience for users without the need for local data storage.

Features

• Image Annotation: Annotate images directly in the browser.
• Database Storage: Stores annotation tasks and annotated data in a secure database.
• No Local Storage: No data is stored on the user’s device; all operations are done in the cloud.
• Efficient Task Management: Create and manage multiple annotation tasks.

Technologies Used

• Backend: Django (with Django REST Framework)
• Database: SQL - for storing annotation tasks and data.

Installation

1. Clone the repository:

   git clone https://github.com/your-username/labelbox-web-app.git

2. Change into the project directory:

   cd labelbox-web-app

3. Set up a virtual environment:

   python -m venv venv
   source venv/bin/activate  # For macOS/Linux
   venv\Scripts\activate     # For Windows

4. Install the required dependencies:

   pip install -r requirements.txt

5. Set up your database (SQL or MongoDB). If you're using SQL, make sure the database is configured properly in settings.py.

6. Run migrations to set up the database:

   python manage.py migrate

7. Create a superuser to access the Django admin panel:

   python manage.py createsuperuser

8. Run the development server:

   python manage.py runserver

Usage

Once the application is running, you can access the web app through:

http://127.0.0.1:8000

Annotation Projects

• Create new annotation projects via the admin panel or through API calls.
• Annotate images using the provided tools in the web interface.

API Endpoints

• GET /api/images/: Fetch images from the database for annotation.
• POST /api/annotations/: Submit annotated data back into the database.

Contributing

We welcome contributions! To contribute to this project, follow these steps:

1. Fork the repository.
2. Clone your fork to your local machine.
3. Create a new branch (git checkout -b feature-branch).
4. Make your changes and commit them (git commit -am 'Add new feature').
5. Push to your fork (git push origin feature-branch).
6. Create a pull request.