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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

5. Load exported files with Python

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Prepare exported files

Prepare one you want to use. This guide uses the one exported in the previous guide.

Follow the previous guide "4. Export annotated file to PNG" to export an annotated file, or download it from below.

Download the exported files (zipped):

dogs_edited_json.zip (8.5MB)

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  • Prepare exported files
  • Install LabelMe using Terminal
  • Create a Python script
  • Run the Python script