LabelMeAnnotationTool

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LabelMeAnnotationTool is an open-source image annotation tool that allows for online image labeling. It enables users to access the tool from anywhere and collaborate on image annotation tasks.

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At a glance

Pricing

Open Source

Free tier

Yes

API

Skill level

Technical

About

What is LabelMeAnnotationTool?

The LabelMeAnnotationTool provides the source code for an online image annotation tool written in JavaScript. It allows users to label images collaboratively from any location, eliminating the need to install software or copy large datasets. This tool is particularly useful for creating image datasets for computer vision applications. Key features include support for various annotation modes, customizable URL variables for specific labeling tasks, and the ability to manage image collections. It requires an Apache server with specific configurations for server-side includes and Perl/CGI scripts to function correctly, making it suitable for users with web server management experience.

Best used for

Ideal for data scientists and developers who need to create custom image datasets, collaborate on annotation projects, and manage image collections for machine learning. Especially valuable for those requiring a flexible, web-based tool with server-side scripting capabilities for computer vision research.

Common actions

annotate images

label data

create datasets

collaborate on annotation

deepfakeautomated workflowcollaborationlow-code/no-codeworkflowsopen-sourceface swappinggithub copilot"AI Agents"

Capabilities

Key features

Online image labeling
Collaborative annotation
Customizable URL variables
Multiple annotation modes
Image collection management
Server-side includes support

Target Audience

data scientistdeveloper

Integrations

Not yet documented

Pricing & Plans

Open Source

Free

FAQs

What are the server requirements for running LabelMeAnnotationTool?

To run the LabelMeAnnotationTool, you need an Apache server with authconfig enabled for server-side includes (SSI) and the ability to run Perl/CGI scripts. Additionally, php5 and libapache2-mod-php5 libraries are required for full functionality.

Can I customize the instructions for Mechanical Turk workers?

Yes, you can customize the instructions for Mechanical Turk workers by setting the `mt_intro` URL variable to your custom instructions page or by using the `mt_instructions` variable for a one-line instruction at the top of the labeling task.

How do I create a collection of images to label?

You can create an image collection by running the `populate_dirlist.sh` script located in `./annotationTools/sh/`. This script generates a list of images from your 'Images' folder, which can then be used with the `collection` URL variable.

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