Labelme

6.9easy start · #7 of 28
in Image Annotation Software

Free to practise onnot on record
Free trialyes
Well documentedyes
Runs where you workyes

Runs on Linux, Mac, Windows.

Labelme is ranked #7 of 28 in image annotation software on The Geeks Club. It runs on Linux, macOS, Windows. There is no free plan. A free trial is offered.

Labelme plans and pricing

All plans

Starter $49 once One-time; includes 1 year of updates Desktop app for Windows, macOS & Linux · SAM2 and SAM3 annotation · No dataset toolkit labelme.io · 4 Oct 2026

Pro $79 once One-time; includes 1 year of updates Everything in Starter · Dataset toolkit with 10+ tools · YOLO, YOLO-OBB and Pascal VOC exports · Priority email support (48h response) · Toolkit requires Python labelme.io · 4 Oct 2026

Pro (Lifetime) $249 once One-time; lifetime updates Everything in Pro · All future updates, including major versions · Toolkit requires Python labelme.io · 4 Oct 2026

Compared on image annotation software

Free plan: Yes
Image annotation: Yes
Text annotation: No
Audio/video annotation: Yes
Model-assisted labeling: Yes
Review workflow: Yes
API or SDK access: No
Deployment: self-hosted

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The record

Purpose: Labelme is an AI-powered image annotation tool for creating training datasets, aimed at researchers, engineers, and teams.
Annotation types: It supports polygons, rectangles, oriented rectangles, circles, lines, points, masks, and rich attributes.
AI models: It supports SAM, SAM2, SAM3, EfficientSAM, and YOLO-World, which run locally rather than through a hosted API.
AI prompts: SAM3 accepts box and text prompts, while SAM2 or EfficientSAM can be used for point prompts; YOLO-World returns bounding boxes.
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.
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.
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.
Dataset tools: The Pro toolkit includes batch processing, visual review, image resizing with annotations, label renaming, dataset statistics, export, and command-line automation.
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.
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.
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.
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.
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.
Maker and history: The maker identifies Kentaro Wada as founder and developer, and says the open-source project began in 2016.

Where it ranks on The Geeks Club

Best Image Annotation Software in 2026#7 of 28
Best Data Labeling Software in 2026#12 of 24

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Sources

labelme.io/about· checked 4 Oct 2026
labelme.io· checked 4 Oct 2026
labelme.io/pricing· checked 4 Oct 2026