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YOLO Labeling

A VS Code extension for quickly browsing and editing YOLO dataset annotations through YAML configuration files.

Introduction

YOLO Labeling is a VS Code extension that enables efficient viewing and modification of YOLO-formatted labels directly within the editor. It supports dataset exploration via a TreeView, real-time annotation preview, AI-powered inference with ONNX models, and a comprehensive statistics dashboard with interactive charts. Key features include:

  • Dataset Explorer TreeView for browsing YAML configs, subsets, and images
  • Statistics Dashboard with class distribution, box statistics, and train/val/test comparison
  • AI inference using ONNX models (YOLOv8, YOLOv11) for detection and segmentation
  • Label management with copy/paste, undo/redo, and keyboard shortcuts
  • Multi-folder subset support and theme integration
  • Supported formats: COCO8, COCO128, COCO8-seg, COCO8-pose, Tiger-pose, DOTA8

Ideal for ML engineers and computer vision practitioners who need a lightweight, integrated tool for dataset annotation and quality control.

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