New Release Celebration 30% off (ends 02/14)
The offline image annotation for vision AI
Join 15,000+ builders who use Labelme to create training data for vision AI securely. No cloud uploads. 100% Private.
- Efficient annotation with simple & intuitive UI
- Fast annotation with AI auto-labeling and smart suggestions
- On-device app, tools, and AI models keeping your data private
How it works
Annotate images with polygons, rectangles, and more. Validate & export annotations as a dataset.
Key features
AI-powered annotation app, automation-ready tools & guides to build high-quality datasets.
Examples
Self-driving, retail, agriculture, medical, and more. Build datasets for various computer vision tasks.
Story
Automation obsessor. Solo-built Labelme (15K+ stars), GH 9+ Top trending. PhD, Lead CV at Mujin.
How it works
1. Annotate images with polygon, rectangle, or any shapes with Annotation app
2. Validate & export annotations as a dataset with Toolkit
3. Train your AI model
Annotation app
Desktop app to annotate images with polygons, rectangles, and more.
Toolkit
A set of command-line tools to streamline dataset creation.
Starter guide
Guide to get you started with annotating the first image fast.
Dataset guide
Guide to help you create, validate, and export a high-quality dataset fast.
Annotation app
Annotation app
Offline-first app you download and run on your computer.
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.
AI assisted
Real-time feedback & auto-annotation with AI. See more.
Multi-language
14 languages: English, 中文 (简体/繁體), Français, 日本語, Deutsch, Magyar, 한국어, Español, فارسی, Nederlands, Português, Italiano, Tiếng Việt
Automation toolkit
Toolkit
Command-line tools to streamline dataset creation.
Batch process
Annotate, edit, validate, and export many at once.
Automation ready
Integrate with your workflow and other tools. Accessible from CLI, easily connectable.
AI assisted annotation
Prompt to annotations
Type what to annotate for the AI to get it annotated.
Models: YOLO-World, SAM3
Shapes: rectangles, polygons, mask
A click to annotation
Instant object annotation by a few clicks with AI.
Models: EfficientSAM, SAM1, SAM2
Shapes: polygons, mask
Rectangle to polygon
Convert rough rectangles to accurate polygons with AI.
Perfect for objects with complex shapes (e.g., irregular, curved).
Features table
| Feature |
 Starter
|
Pro
|
|
|---|---|---|---|
| Manual annotation (Annotation app) | |||
| Easy installation | |||
| Portable exe for Windows | |||
| Offline annotation | |||
| Polygon annotation | |||
| Rectangle annotation | |||
| Point / Line / LineStrip / Circle annotation | |||
| Grouping of annotations | |||
| Text & flag attachment to annotations | |||
| AI-assisted point to polygon / mask | |||
| AI-assisted text prompt to rectangle | |||
| Automation (Toolkit) | |||
| Export YOLO format | |||
| Import YOLO format | |||
| Export VOC format | |||
| Export mask-JPEGs | |||
| AI text prompt to rectangle (batch) | |||
| AI rectangle to mask | |||
| Show statistics of dataset | |||
| Rename labels in dataset | |||
| Resize images and annotations | |||
| More automations | |||
| Feature |
Starter
|
Pro
|
|
Examples
Make image annotations for any applications with any shapes & AI-assist.
What they say
Story
Kentaro Wada
Founder
Automation obsessor. Solo-built Labelme (15K+ 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.
Latest updates
Explore more
How it works
Annotate images with polygons, rectangles, and more. Validate & export annotations as a dataset.
Key features
AI-powered annotation app, automation-ready tools & guides to build high-quality datasets.
Examples
Self-driving, retail, agriculture, medical, and more. Build datasets for various computer vision tasks.
Story
Automation obsessor. Solo-built Labelme (15K+ stars), GH 9+ Top trending. PhD, Lead CV at Mujin.
Ready to create image datasets for your AI project?
Starter plan for image annotation app, Pro plan for plus dataset creation tools & automation.
One-time purchase, 14-day money-back guarantee.