MATLAB Image Labeling Tool for Machine Learning Teams

 Image labeling tools are a crucial component of many machine learning workflows. The Image Labeler app in MATLAB enables you to conduct individual and team-based image labeling projects.

Learn how to label ground truth data in a collection of images using the Image Labeler app, as well as how to increase the scale of image labeling projects by distributing tasks across a range of team members through a collaborative, multi-user labeling workflow. You will also learn how to review labeled images, provide feedback, and track progress for all labeling and review tasks.

Highlights:

Discover how to conduct ground truth image labeling for AI applications

Create and manage a team-based image labeling project

Review, provide feedback, and track progress of team-based image labeling tasks

Learn more:

Image Labeler: https://bit.ly/47gFfrh

Get Started with the Image Labeler: https://bit.ly/4gfSxIk

Chapters:

00:39 Team-based Image Labeling 

01:35 MATLAB Image Labeler App 

02:09 Labeling Roles and Responsibilities 

06:21 Team-based Labeling Project Initiation 

07:15 Importing Images for Labeling 

08:01 Adding and Publishing Label Tasks 

09:12 Creating a Compiled Labeler App 

10:07 Labeling Images as a Label Task Owner 

11:46 Creating Label Review Tasks 

12:51 Label Review 

14:33 Label Correction 

16:42 Label Export by Project Owner 

17:59 Conversion to OpenLabel Format 

18:13 Summary