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.

Watch the video to 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

About the Presenter:

Jai Gupta is a product marketing manager at MathWorks, focusing on Image Processing, Computer Vision, and Artificial Intelligence. Prior to joining MathWorks he was a technical product manager in Amazon’s Alexa AI organization, and prior to that he was CEO of AI hardware accelerator startup Spero Devices. Jai has also served as a Principal Investigator on DARPA’s VIP and ACCESS programs and holds a BSEE degree from the University of Pennsylvania, an MSEE degree from the University of Southern California, and an MBA from Duke University.