Install Labelme Toolkit

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Latest version: labelmetk v0.1.5

  • v0.1.5: support "mask" shape in export-to-yolo
  • v0.1.4: support large images in import-from-yolo, resize-images, & more
  • v0.1.3: support installation via uv and uvx labelmetk
  • v0.1.2: support "mask" shape in export-to-voc, json-to-mask, & more

Install Toolkit using terminal

Labelme Toolkit requires Python in your system. If you haven't installed Python (and uv) yet, follow "Install uv and Python" first.

Download the Labelme Toolkit installation file from below (sign-in required):

Run pip command to install the downloaded file:

# NOTE: Adjust the version number
uv tool install labelmetk-{VERSION}-py3-none-any.whl

Verify installation

If the installation is successful, you can verify the installation by running the following command:

# uvx is a shortcut for `uv tool run`
uvx labelmetk --version
uvx labelmetk --help

If you see the version number and help message like below, the installation is successful.

Next step

You have 2 options:

  1. Check Toolkit Docs to learn the usage of each tool.
  2. Check Dataset Guide to learn its use with a real dataset.

If you encounter any issues with Labelme Toolkit, please follow Troubleshoot.