Start annotating images in just a few seconds. Everything you need in a single window.
AI-powered annotation, batch processing, integration with other programs. What you need as a power user.
Runs offline. No need to worry about data leakage or any other private concerns.
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.
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
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
Keep your data private and secure with the offline app. No need to worry about data leakage or any other private concerns.
For individuals and teams. 14-days money back guarantee.
Free
$0
Sign UpInstall using pip command. Required Python and terminal. See open-source↗
Access everything from one place. See preview→
Ask questions and share your findings with others.
Get updates on new features and tips.
Starter
$29 $19/ once
$10 off until the next big update
Everything in Free, plus:
Simply download pre-built app for Windows and macOS. No terminal or Python required. See preview→
Learn the basics from annotation to export. See preview→
Pro
$49 $42/ once
$7 off for the first 90 customers (1 left)
Everything in Starter, plus:
Automate and streamline the annotation process with Labelme-compatible tools. See preview→
Get tooling tips and tricks for efficient dataset creation.
Access direct and private support.
Connect with other power users.
Everything is accessible from the dashboard.
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→
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.
The story behind Labelme:
— Kentaro Wada (@wkentaro_)January 13, 2025
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