Annotate Everything

Use Annotate Everything to power your dataset annotation workflows with AI.

Features

1. Promptable Instance Segmentation

• Simply write a prompt to get Instance Segmentation over a variety of classes.

2. Fast Inference

• Inference runs on a Serverless Function for blazing fast inference.

3. Export to any format

• Annotations can be exported format of your choice.

Tech Stack

• Azure (Cloud Deployment)
• Django Rest Framework ()
• Nuclio (Serverless calls)
• React (frontend client)
• Vite (Package Manager)
• Shadcn (styling)
• Zustand (state management)
• Docker

Self hosting guide

Set appropriate values on /backend/.env and /frontend/.env files then:

docker compose up --build

Development Guide

1. Create Virtual Environment and install dependencies

   python3.10 -m venv env

2. Activate Virtual Environment

   source env/bin/activate

3. Install Dependencies

   pip install -r backend/requirements.txt

4. Add Environment variables in backend/.env

   DJANGO_SECRET_KEY="your-secret-key"
   
   POSTGRES_DB=db_dev
   POSTGRES_USER=root
   POSTGRES_PASSWORD=root
   
   DJANGO_SUPERUSER_USERNAME=admin
   DJANGO_SUPERUSER_PASSWORD=admin
   DJANGO_SUPERUSER_EMAIL=admin@admin.com
   
   DJANGO_DEBUG=True
   DEVELOPMENT_MODE=True

5. Add Environment variables in frontend/.env

   VITE_API_URL="<BACKEND_URL>:<PORT>"

Run Database

1. Start PostgreSQL database

   docker run --name db_dev -e POSTGRES_PASSWORD=root -e POSTGRES_USER=root -e POSTGRES_DB=db_dev -d -p 5432:5432 postgres

Run Backend

1. Make Migrations

   cd backend
   python manage.py makemigrations
   python manage.py migrate
   

2. Start Django Server

   python manage.py runserver
   

Run Frontend

1. Install dependencies

   npm install
   

2. Start React App

   npm run dev
   

• Application should be running on localhost:5173 by default
• Backend server should be running on localhost:8000 by default