Wading through all your unstructured data to accurately annotate assets requires a tremendous amount of patience, organization, and time. This webinar will cover six key time-saving practices implemented by leading AI teams when handling AI data. Join us to discover how to:

  • Annotate faster with a dynamic queueing system

  • Improve communication, collaboration, and consensus between teams

  • Utilize a programmatic-approach for quicker access to data

  • Leverage software optimized for speed

  • Incorporate automation through model-assisted labeling

  • Utilize active learning and prioritize the right data

We’ll also be answering live Q&A from the audience so that you can tailor these lessons into your own MLOps and accelerate your AI journey.

Watch now

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

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Rahul Sharma

Sr. Machine Learning Support Engineer,

 Labelbox

Featured Speakers

6 best practices to save time when creating AI data


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

Copyright 2021 - All Rights Reserved.

Privacy FAQ | Privacy Notice  | Cookie Notice | CCPA Notice | Terms of Use

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

Zeke Emerson

MLSE, 

Labelbox