3 minute read

Hello! Today, I want to take you on a deep dive into the key features of Easy Labeling, a powerful image annotation tool designed to revolutionize the process of creating object detection datasets.

Optimized especially for the YOLO format, Easy Labeling focuses on streamlining the user’s workflow with a rich set of features that make the repetitive task of labeling faster, easier, and more accurate.

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1. Seamless Local Environment with No Server Needed

One of the most significant advantages of Easy Labeling is its ability to work directly with files on your computer without requiring any server setup or file uploads. By leveraging the modern File System Access API, it securely accesses local folders to read and save images and label files.

  • High-Speed Performance: Eliminates upload and download times, allowing you to process large datasets quickly.
  • Robust Security: All data is handled exclusively on your machine, ensuring that sensitive information remains private and secure.

2. Intuitive and Powerful Annotation Tools

Easy Labeling is equipped with all the essential tools for precise and rapid annotation.

  • Flexible Bounding Box Editing: Intuitively draw bounding boxes with your mouse, resize them by dragging edges or corners, and easily move or delete them.
  • Precision Control: Freely zoom in and out, pan across the image to examine details, and get real-time coordinate displays for high-precision work.
  • Drawing/Edit Mode Toggling: Boost your efficiency by quickly switching between drawing and editing modes with the Ctrl+Q shortcut.

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3. UI/UX Designed for an Efficient Workflow

The interface is intelligently designed to help you focus purely on the task at hand.

  • Maximized Workspace: Adjust the size of the side panels or collapse them completely to get a wider, unobstructed view of the image.
  • Image Preview Bar: The thumbnail bar at the bottom provides a complete overview of your dataset, allowing you to navigate to any image instantly.
  • Real-Time Sync: Selecting a box on the canvas highlights the corresponding label in the side panel, and vice versa, keeping your view perfectly synchronized.
  • Powerful Filtering: Systematically work through your dataset by filtering images that are unlabeled or contain specific classes.

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4. Smart Label Management

Go beyond simple annotation with advanced features for managing your dataset systematically.

  • Load Class Names from YAML: Import a class definition file (like data.yaml) to manage labels with human-readable names such as ‘car’ or ‘person’ instead of numeric IDs like ‘0’ or ‘1’.
  • Bulk Actions: Minimize repetitive tasks by selecting all boxes of a specific class at once or changing the class of multiple selected boxes simultaneously.

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5. Productivity-Boosting Convenience Features

  • Dark Mode: Work comfortably for extended periods with a sleek, eye-friendly dark mode.
  • Auto-Save: Your progress is automatically saved to prevent any accidental data loss.
  • Extensive Shortcuts: Maximize your speed with a wide range of keyboard shortcuts for actions like navigating images (A/D), copy/paste (Ctrl+C/V), and more.

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Try It Now!

Easy Labeling is an open-source project that is continuously evolving with feedback from developers and researchers. Visit the GitHub page today to try it out and elevate your data labeling workflow to the next level!

Visit the Easy Labeling GitHub Page

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