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How it worksKey featuresExamplesPricingDocumentationBlog
  • Installation
  • Install LabelMe as App
  • Install LabelMe using Terminal
  • Install LabelMe using Terminal (old way)
  • Install LabelMe Toolkit
  • All released versions
  • Troubleshoot
  • 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

1. Annotate image with LabelMe

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

Prepare an image

Prepare an image that you want to annotate.

If you don't have one yet, you can use the following image for this tutorial dogs.jpg:

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.

  • Prepare an image
  • Open the image in LabelMe
  • Annotate the image
  • Save the annotation