Labelme

Build datasets for AI with Private and Flexible annotation

Save hours withAI-powered offline app
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See why people choose Labelme

GitHub stars

13k+

App reviews

130+

Trusted by 1070+ individuals and organizations

Why Labelme?

1. Easy-to-use

Start annotating images in just a few seconds. Everything you need in a single window.

2. Flexible and powerful

AI-powered annotation, batch processing, integration with other programs. What you need as a power user.

3. Private and secure

Runs offline. No need to worry about data leakage or any other private concerns.

How it works?

Create a dataset with polygon, rectangle, or any-shaped annotations to teach an AI how to see the world.

Annotate images and export to any format e.g. COCO VOC YOLOfor any training frameworks to build your own model.

Automated annotation

The built-in AI models allow you to annotate objects in an image with just a few clicks or text prompts.This saves you hours of manual work.

Mouse clicks

Text prompt

Flexible & Optimized integration

Integrate with any tools to streamline your dataset creation e.g. auto-annotation validation export. Any command line tools and Python scripts, including the first-party toolkit.

Batch processing

Integrate with other programs

Private & Secure being offline

Keep your data private and secure with the offline app. No need to worry about data leakage or any other private concerns.

Although Labelme is framework agnostic, it's been fully tested with:

Choose a plan

For individuals and teams. 14-days money back guarantee.

3592 users

Free

$0

Sign Up
  • Annotation app (manual install)

    Install using pip command. Required Python and terminal. See open-source↗

  • Access to dashboard

    Access everything from one place. See preview→

  • Discord community

    Ask questions and share your findings with others.

  • Newsletter for updates

    Get updates on new features and tips.

See reviews→
114 users

Starter

$29 $19/ once

Get Starter

$10 off until the next big update

Everything in Free, plus:

  • Annotation app

    Simply download pre-built app for Windows and macOS. No terminal or Python required. See preview→

  • Starter guide

    Learn the basics from annotation to export. See preview→

See reviews→
89 users

Pro

$49 $42/ once

Get Pro

$7 off for the first 90 customers (1 left)

$12 off for the first 80 customers (0 left)

Everything in Starter, plus:

  • Dataset creation toolkit

    Automate and streamline the annotation process with Labelme-compatible tools. See preview→

  • Advanced guides

    Get tooling tips and tricks for efficient dataset creation.

  • Access email support

    Access direct and private support.

  • Exclusive Discord community

    Connect with other power users.

See reviews→

Everything is accessible from the dashboard.

Go to dashboard

Annotation app

Simply download pre-built app for Windows and macOS. No terminal or Python required. See preview→

  • Secure by offline: no internet needed (except the initial install).
  • Various shapes: polygon, rectangle, point, line, and more.
  • Versatile annotations: label, flag, description for image/shapes.
  • AI auto annotation: point to mask, text to rectangles.

Starter guide

Learn the basics from annotation to export. See preview→

  • Example image & annotation: to get started quickly.
  • Fundamental workflow: annotate, validate, and export.
  • Integration with Python: for training workfllow and more.

Dataset creation toolkit

Automate and streamline the annotation process with Labelme-compatible tools. See preview→

  • Automate process: annotation, conversion, validation, export.
  • Batch process: apply processing on many files at once.
  • AI auto annotation: text to rectangles, rectangle to mask.
  • Various export formats: mask PNGs, Pascal VOC.

Advanced guides

Get tooling tips and tricks for efficient dataset creation.

  • Example dataset: 100+ pre-annotated data to play with.
  • Toolkit guide: fundamentals of each tool.
  • Dataset creation guide: from annotation to before training.
Curious how Labelme was built? Read the story behind it↓

The story behind Labelme:

I built it when I was at the end of my bachelor's degree / beginning of my master's. I was working in a robotics lab and created it to teach my robot to see the world.

Around 2015-2016, Amazon Robotics held the "Amazon Picking Challenge (APC)" shortly…https://t.co/TWAFeVCiT5pic.twitter.com/lRZ2UwX2Lr

— Kentaro Wada (@wkentaro_)January 13, 2025