ML Unboxed: Improve review efficiency with custom workflow || WBN

Welcome to ML Unboxed - the first webinar series designed for AI and ML professionals! You’ll learn about essential ML best practices and emerging concepts and then participate in a hands-on workshop guiding you through putting them into practice in Labelbox.

Product manager Pranoy Chaudhuri will teach you how strucured workflows can help your labeling workforce teams reduce review time, guide SME reviewers to high-impact data, and improve communication and collaboration.

To help ensure labeling quality, teams need to review labeled data to identify errors and trends leading to poor labeling performance. To do this at scale and with outsourced labelers, you need an efficient workflow that most effectively balances labeling time, review and rework time, and quality. In this tutorial, we’ll walk through specific workflows to help improve quality and collaboration with review and labeling teams, including ways to:

Customize your review queue based on label status, specific annotations, or specific labelers
Quickly identify common issues faced by your labeling teams that lead to errors or inaccuracy
Focus SME reviewer time on high-value labeled data where they’re needed most

With these advanced workflows, you’ll be able to increase the throughput, efficiency, and quality of your labeling and review.

Watch now

Just some of companies that Labelbox is working with to build AI applications:

Pranoy Chaudhuri

Senior Product Manager, Labelbox

Featured Speaker

Improve labeling workforce performance with custom workflows

Just some of companies that Labelbox is working with to build AI applications:

ML Unboxed: How to diagnose and improve model performance

January 12: 11am PT

January 13: 8am PT/11am ET/4pm GMT

ML UNBOXED

Mark Ghannam

Solutions Engineer, EMEA, Labelbox