SuperAnnotate Webinar

Seeking to Scale: How to Improve Performance of Remote Annotation Teams

Date: February 3rd, 10 am PST / 7 pm CET

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At SuperAnnotate we truly believe that data is the source code for ML. If we consider all the systems, processes, tooling, expert help, guidance, that we get for building machine learning models, we need to start approaching building datasets with the same level of precision.

In this webinar, we’ll discuss some of the most common pitfalls Machine Learning teams face productionizing data pipelines and ways to avoid those issues. We’ll be covering:

  • Best practices designing data annotation workflows
  • Leveraging the best software tools
  • Managing growing datasets avoiding bias
  • Selecting the right outsourced workforce

At the end of this session, we hope you’ll have a better understanding of how to build SuperData at scale and in significantly less time.

Register for the webinar

Webinar hosts

jason liang

Jason Liang

Co-founder & VP of Business Development at SuperAnnotate
oscar ornberg

Oscar Örnberg

Solutions Engineering Team Lead at SuperAnnotate
vahan petrosyan

Vahan Petrosyan

Co-founder & CTO at SuperAnnotate

Build SuperData for your AI with our end-to-end computer vision platform.

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