The 3 Major Components to Build a Machine Learning Dataset - August 4th


date & time

August 4th @ 2 pm EST recording available 

about the webinar

Join us as we discuss three major components required to build robust datasets used to train high performing Machine Learning models, including:

  • Fast And Accurate Annotation Capabilities
  • Insightful Analytics
  • Seamless Team Management
  • Even More Advanced Methods of Building Quality Datasets

After our walkthrough, we'll discuss some common use cases and popular features, then open up the floor for questions from the audience. 

about the speaker

Ben Cohen has spent the past 18 months refining the Innotescus platform with the assistance of the relationships he's built with our customers. Ben holds a BS and MS from Stanford University, and worked on Autonomous Vehicles and other Advanced Driver Assistance Systems at General Motors before his time at Innotescus.


register here

Registrants will be sent the recording after the webinar as well as follow-up resources.