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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

2. Open and edit annotated file

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Prepare an annotated file

Make sure you've followed the previous guide "1. Annotate image with Labelme" and you have the annotated file ready.

Download the annotated file:

dogs.json (870 KB)

Open an annotated file

Follow the steps below:

  1. Open the app. Open the app

If you're a Starter or Pro member, sign in 🔒️ to read the rest of the guide. Or check our plans if you don't have them yet.

Next guide:

"3. Load annotated file with Python"
  • Prepare an annotated file
  • Open an annotated file
  • Edit the annotations