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Labelme
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  • Installation
  • Install Labelme as App
  • Install Labelme using Pip
  • Install Labelme Toolkit
  • Troubleshoot
  • All released versions
  • Toolkit Docs
  • ai-annotate-rectangles
  • ai-rectangle-to-mask
  • export-to-voc
  • export-to-yolo
  • extract-image
  • import-from-yolo
  • json-to-mask
  • json-to-masks
  • json-to-visualization
  • list-labels
  • print-stats
  • rename-labels
  • resize-image
  • Starter Guide
  • 1. Annotate image with Labelme
  • 2. Open and edit annotated file
  • 3. Load annotated file with Python
  • 4. Export annotated file to PNG
  • 5. Load exported files with Python
  • Dataset Guide
  • 1. Download real dataset
  • 2. Verify dataset visually
  • 3. Verify dataset statistically
  • 4. Additional data collection
  • 5. Export dataset
  • Bonus: PyTorch dataset class

Starter Guide

You need to be a Starter or Pro member to access the full content of this.

  • 1. Annotate image with Labelme
  • Prepare an image
  • Open the image in Labelme
  • Annotate the image
  • Save the annotation
  • 2. Open and edit annotated file
  • Prepare an annotated file
  • Open an annotated file
  • Edit the annotations
  • 3. Load annotated file with Python
  • Prepare an annotated file
  • Install Labelme with Pip
  • Create a Python script
  • Run the Python script
  • 4. Export annotated file to PNG
  • Prepare an annotated file
  • Install Labelme with Pip
  • Export annotated file
  • 5. Load exported files with Python
  • Prepare exported files
  • Install Labelme with Pip
  • Create a Python script
  • Run the Python script