No. 12 of 24 ·AI Image Annotation Tools

LabelMe

Web · Windows · Linux · Self-hosted

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Freedom report

Two barsScore 5.3

Free tierNo free tier on record
Open codeNo open-source code on record
Runs widely3 of 6 device platforms
DocumentedPlans, terms and facts published

LabelMe is ranked #12 of 24 in AI image annotation tools on Freedom251. It runs on Linux, Self-hosted, Web, Windows.

Compared on AI image annotation tools

Free plan: Yes
Annotation types: polygon, scribble, mask
AI-assisted labeling: No
Export formats: XML
API access: Yes
Deployment: self-hosted

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The record

Purpose: LabelMe is a web-based image annotation tool for researchers to label images and share annotations.
Image annotations: The tool supports creating and editing polygons, with URL options to rename objects, modify polygon control points, delete objects, or view polygons without editing.
Labeling modes: URL options include a Mechanical Turk mode and modes for moving to the next image in a folder, a random image, or the next image in a collection.
Collections: A command-line script can create image collections from all images or from a specified folder.
Data export: Annotations are saved as XML files, and the page describes downloads through a MATLAB toolbox or tar files.
Server requirements: The setup instructions require Apache, server-side includes, and Perl/CGI support.
Image file constraint: The quick start instructions specify .jpg images and folder and file names containing alphanumeric characters without spaces or unusual characters.
Storage permissions: The web server needs read permission for images and write permission for annotation and temporary annotation folders.
Dataset access: The MATLAB toolbox can download the dataset or access online images and annotations directly; the page says online access may be slow.
License: The repository lists an MIT license.
Project attribution: The repository credits the MIT Computer Science and Artificial Intelligence Laboratory.
Download: The source code is available as a zip download or through the GitHub repository.
Annotations: The tool saves annotations in an Annotations folder and supports scribble mode with masks and scribbles.
Configuration: URL options can select images and collections, set a labeling username, restrict available actions, and supply a dropdown list of object names.

Where it ranks on Freedom251

Best AI Image Annotation Tools in 2026#12 of 24

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Sources

people.csail.mit.edu/torralba/research/LabelMe/js/instructio· checked 7 Oct 2026
github.com/CSAILVision/LabelMeAnnotationTool· checked 7 Oct 2026
labelme.csail.mit.edu· checked 28 Sept 2026