Team-Based Image Labeling with MATLAB for AI Applications

Overview

Attendees will 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 labeling projects by distributing tasks across a range of team members through a collaborative, multi-user labeling workflow. Attendees will further 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

Please allow approximately 45 minutes to attend the presentation and Q&A session. We will be recording this webinar, so if you can't make it for the live broadcast, register and we will send you a link to watch it on-demand.

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.

Product Focus

Team-Based Image Labeling with MATLAB for AI Applications

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