TagiFLY v1 (Beta)

Labelling Tool for AI Computer Vision

Open source, lightweight, and focused only on what you need.

📸 Screenshots

Main Screen	Annotation Example

Export Window	Dark Mode	Light Mode

🚀 What is TagiFLY?

TagiFLY is an open-source labelling tool for AI computer vision projects.
The goal is simple: Mark your images, save them, and use them in your AI/ML projects.

• 🤖 Training data for machine learning
• 🎯 Computer vision projects
• 📊 Research & personal experiments

✨ Features

• 📦 6 annotation tools: Box, polygon, point, line, mask, keypoints
• 📤 4 export formats: JSON, YOLO, COCO, Pascal VOC
• 🎨 Light / dark theme
• ⌨️ Keyboard shortcuts for faster workflow
• 🖼️ Supports JPG, PNG, BMP, GIF, WebP

📤 Export Options

• JSON → Full project backup
• YOLO → For object detection models
• COCO → Research standard format
• Pascal VOC → XML-based compatibility

⚠️ Note (Beta Release)

This is the first release (Beta).
It may contain bugs or missing features. Please share your feedback so we can improve it together. 🚀

🛠️ Installation & Setup

Prerequisites

• Node.js (v14 or higher)
• npm or yarn

# Clone the repository
git clone https://github.com/dvtlab/tagiFLY.git

# Navigate to project directory
cd tagiFLY

# Install dependencies
npm install

# Start the application
npm start

🚀 For Non-Technical Users

Download the ready-to-use application:

• 🍏 Mac (DMG, Apple Silicon)
• 🖥️ Windows (EXE Installer)

⚠️ Note: These are beta builds.
If you encounter any issues or have suggestions, you are welcome to provide feedback.

🎮 Usage

• Select an image folder
• Pick a tool and start annotating
• Export your work in JSON / YOLO / COCO / VOC format

📄 License

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

Open Source & Free - Use it anywhere, modify it, contribute to it! 🚀

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⭐ If TagiFLY helps you, don’t forget to leave a star!

Made with 💙 by dvtlab

📧 Contact: dvtlab@outlook.com