Labelme
Labelme is an AI-powered desktop annotation tool for creating image training datasets, aimed at researchers, engineers, and teams.
What Labelme is
Labelme is an AI-powered desktop annotation tool for creating image training datasets, aimed at researchers, engineers, and teams. Its annotation options include polygons, rectangles, oriented rectangles, circles, lines, points, masks, and rich attributes. The tool can run SAM, SAM2, SAM3, EfficientSAM, and YOLO-World locally rather than through a hosted API. SAM3 accepts box and text prompts, SAM2 or EfficientSAM can use point prompts, and YOLO-World returns bounding boxes. The maker says images, annotations, and exports stay on the user's machine, without cloud processing or telemetry. Once model weights are downloaded, annotation and AI assistance work offline; air-gapped use is possible by transferring models or requesting the offline pack. The application is GPL-3.0, while the Pro dataset toolkit is closed source. Starter costs $49, paid once and includes one year of updates. Pro costs $79, paid once with one year of updates and adds a dataset toolkit with exports including YOLO, YOLO-OBB, and Pascal VOC. Pro Lifetime costs $249, paid once and includes lifetime updates.
Good
- Runs supported AI models locally
- Annotation and AI assistance work offline after model downloads
- Images and exports remain on the user's machine
- Supports several annotation shapes and masks
Watch out
- Text annotation is not supported
- Pro toolkit tools require Python
- Intel Macs are supported only through v7.0.4
- Three-day trial excludes the Pro dataset toolkit
Who it suits
Labelme suits researchers, engineers, and teams creating image datasets who want local model-assisted annotation. Its Pro toolkit may suit users needing batch processing, dataset statistics, export, or command-line automation.
Verdict
Labelme combines varied annotation options with local model assistance and offline use after model downloads. Check the operating system limits and Python requirement if you need the Pro dataset toolkit.
Plans and prices
From Labelme's own pricing page, checked 4 Oct 2026.
| Plan | Price | What it gives you |
|---|---|---|
| Starter | $49, paid once | Desktop app for Windows, macOS & Linux · SAM2 and SAM3 annotation · No dataset toolkit · One-time; includes 1 year of updates |
| Pro | $79, paid once | Everything in Starter · Dataset toolkit with 10+ tools · YOLO, YOLO-OBB and Pascal VOC exports · Priority email support (48h response) · Toolkit requires Python · One-time; includes 1 year of updates |
| Pro (Lifetime) | $249, paid once | Everything in Pro · All future updates, including major versions · Toolkit requires Python · One-time; lifetime updates |
The facts
Each one read from Labelme's own pages, with the date it was checked.
What it does
- AI models
- It supports SAM, SAM2, SAM3, EfficientSAM, and YOLO-World, which run locally rather than through a hosted API.checked 4 Oct 2026
- AI prompts
- SAM3 accepts box and text prompts, while SAM2 or EfficientSAM can be used for point prompts; YOLO-World returns bounding boxes.checked 4 Oct 2026
- Annotation types
- It supports polygons, rectangles, oriented rectangles, circles, lines, points, masks, and rich attributes.checked 4 Oct 2026
- Dataset tools
- The Pro toolkit includes batch processing, visual review, image resizing with annotations, label renaming, dataset statistics, export, and command-line automation.checked 4 Oct 2026
- Integrations and exports
- Pro automates conversion to YOLO, YOLO-OBB, and Pascal VOC, can import YOLO and YOLO-OBB, and produces masks, visualizations, and dataset statistics.checked 4 Oct 2026
- Notable limits
- The three-day trial excludes the Pro dataset toolkit, Starter cannot be upgraded to Pro at a discount, and Pro toolkit tools require Python.checked 4 Oct 2026
- Offline use
- After each model's one-time download, annotation and AI assistance work offline; the maker says air-gapped use is possible by moving models from a connected machine or requesting its offline pack.checked 4 Oct 2026
- Open source and licensing
- The annotation application is GPL-3.0, while the Pro dataset toolkit is closed source; the AI models have their own licenses.checked 4 Oct 2026
- Operating system limits
- The desktop app supports Apple Silicon macOS, 64-bit Windows, and 64-bit Linux; Intel Macs are supported only through v7.0.4.checked 4 Oct 2026
- Privacy
- The maker says images, annotations, and exports remain on the user's machine, with no cloud processing or telemetry; model weights download on first use.checked 4 Oct 2026
- Purpose
- Labelme is an AI-powered image annotation tool for creating training datasets, aimed at researchers, engineers, and teams.checked 4 Oct 2026
- Support
- Pro and Pro Lifetime include priority email support with a stated 48-hour response, and team-license inquiries receive a response within one business day.checked 4 Oct 2026
The company
- Founded
- 2016checked 28 Sep 2026
- Maker and history
- The maker identifies Kentaro Wada as founder and developer, and says the open-source project began in 2016.checked 4 Oct 2026
- Team licensing
- Team and enterprise licenses are arranged by email with Pro per seat, one invoice, and volume pricing; each seat is for one named person.checked 4 Oct 2026
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