Annotamate

Annotamate is a powerful, user-friendly, and highly customizable image annotation tool built with Python and CustomTkinter. Designed for efficiency, it supports bounding box annotation for object detection tasks and exports to popular formats like YOLO, Pascal VOC, and COCO.

Features

• Multi-Format Export: Save annotations in YOLO (.txt), Pascal VOC (.xml), and COCO (.json) formats.
• Efficient Workflow: Optimized for speed with keyboard shortcuts for navigation, drawing, and editing.
• Smart Editing:
  • Drag-and-drop box adjustment.
  • Resize handles for precision.
  • Easy class switching.
• Modern UI:
  • Dark/Light Mode support.
  • Sidebar with object visibility toggles.
  • Zoom and Pan capabilities.
• Batch Processing: Built-in batch renaming tool for dataset organization.
• Class Management: Dynamic class addition/removal with color-coded visualization.

Installation

Prerequisites

• Python 3.8 or higher

Install via pip

Clone the repository and install dependencies:

git clone https://github.com/yourusername/Annotamate.git
cd Annotamate
pip install .

Usage

Running the App

After installation, you can launch the application from anywhere using:

annotamate

Or run via python module:

python -m annotamate

Quick Start Guide

1. Load Images: Click Folder Icon (Top Left) to open your image directory.
2. Set Classes: Click Tag Icon to manage your class labels (e.g., person, car).
3. Draw Boxes:
   • Press W to enter Rect Mode.
   • Click and drag to draw a box.
4. Edit Boxes:
   • Press X for Edit Mode.
   • Drag corners to resize or center to move.
5. Save: Press Ctrl+S to save annotations.

Keyboard Shortcuts

Development

To contribute or modify the code:

1. Install in editable mode:

   pip install -e .
   

2. Run tests (if available) or verify changes manually.

License

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

Created by Rugved Jalit