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Advanced Image Labeling Tool

Project description

🖼️ LabelTrain

LabelTrain** is a modern, lightweight image annotation tool built for speed, simplicity, and flexibility.
It provides an intuitive interface for labeling objects in images and exporting annotations in popular formats such as YOLO, Pascal VOC, COCO, and CSV.

LabelTrain Interface LabelTrain Annotation


✨ Key Features 🎨 Modern & Customizable UI

  • Sleek design built with PyQt6
  • Multiple color themes (Blue Ocean, Dark Mode, Purple Dream, and more)
  • Smooth animations and responsive layout

🧰 Advanced Annotation Tools

  • Create, edit, move, and delete bounding boxes with ease
  • Resize and drag annotations directly on the image
  • Right-click context menu for quick actions
  • Zoom, pan, and fit-to-window support for large images

🧩 Flexible Class Management

  • Add, rename, delete, and reorder classes
  • Includes preset categories (person, car, dog, etc.)
  • Floating class panel for fast switching and editing

💾 Multiple Export Formats

  • YOLO (.txt)
  • Pascal VOC (.xml)
  • COCO (.json)
  • CSV (.csv)

⚙️ Smart Workflow

  • Autosave and resume your last session
  • Export progress tracking with detailed status
  • Multithreaded export to prevent UI freezing

🖥️ Cross-Platform Support Runs smoothly on Windows, Linux, and macOS.


Why LabelTrain? LabelTrain is designed to balance ease of use, modern design, and practical functionality.
Whether you're preparing datasets for computer vision, deep learning, or academic research — LabelTrain helps you focus on your work, not on the tool.


📦 Supported Formats Summary

Format Extension Description
YOLO .txt Center-based coordinates
Pascal VOC .xml XML-based object annotations
COCO .json Standardized JSON dataset
CSV .csv Simple tabular annotations

💡 Coming Soon

  • Polygon and segmentation support
  • Dark-mode auto-switch
  • Cloud project sync

LabelTrain — Designed for creators, researchers, and developers who value clarity, performance, and modern design.

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