Products

Annotation app

Desktop app to annotate images with polygons, rectangles, and more.

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Starter guide

Guide to get you started with annotating the first image fast.

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Toolkit

A set of command-line tools to streamline dataset creation.

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Dataset guide

Guide to get you create, validate, and export a high-quality dataset fast.

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How Annotation app works

Easy-to-use UI

Everything you need in a single window.

Offline & private

Keep data private & work confidently.

Any shapes

Polygon, rectangle, circle, line, & more.

Rich attributes

Add details (flags, texts) to annotations.

Annotation app

Offline-first app you download and run on your computer.

How Toolkit works (automation)

Batch process

Annotate, edit, validate, and export many at once.

The toolkit streamlines dataset creation and complements manual annotation.

Automation ready

Integrate with your workflow and other tools.

The app and toolkit are accessible from CLI, easily connectable.

Toolkit

Command-line tools to streamline dataset creation.

How AI works (annotation app & toolkit)

Prompt to annotations

Type what to annotate, to get it annotated with AI.

AI annotates objects with rectangles that best match your text prompt.

A click to annotation

Instant object annotation by a few clicks with AI.

You'll get real-time feedback. Tweak clicks on the fly, or the polygon later.

Rectangle to polygon

Convert rough rectangles to accurate polygons with AI.

Perfect for objects with complex shapes (e.g., irregular, curved).

Make image annotations for any applications with any shapes & AI-assist.

How it works (workflow)

1. Annotate images with polygon, rectangle, or any shapes with Annotation app

2. Validate & export annotations as a dataset with Tookit

3. Train your AI model

What they say

GitHub stars

14K+

App reviews

130+

Story

Kentaro Wada

Founder

Automation obsessor. Solo-built Labelme (14K+ stars), Gdown (4.7K+), and 9+ times top trending developers on GitHub.

Lead computer vision at Mujin (robotics startup), PhD at Imperial (early graduate, full-funded), UTokyo JSK robotics lab (first who went abroad in its 50-year history).

Hi, I'm Kentaro!

Here is 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 after acquiring Kiva Robotics, the company who developed the AGVs used at Amazon. They had automated material delivery in warehouses but were looking for an automation solution for material picking.

We participated as a team from the lab (Can you spot me in the picture?), and I ended up building Labelme for the challenge.

For the full story, check out my tweet.

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Ready to build high-quality image datasets for your AI project?

Just $19 for the annotation app, $49 for the automation tools and guides.

One-time payment, lifetime updates included. 14-day money-back guarantee.