Computer vision is no longer a use case arriving in the distant future. It’s already being used across companies to localize and repackage content, deliver more personalized experiences, monitor quality of experience, increase advertising effectiveness through contextual targeting and brand safety, generate real-time alerts based on user behavior and much more. The practical applications for computer vision are only limited by the creativity of the engineer.  

The common challenges to computer vision projects in media and entertainment? Annotating an expansive content library at scale to support a diverse set of use cases, from consumer lifecycle to monetization.

In this workshop, Databricks media and entertainment experts will share a fundamental computer vision framework that you can use to quickly build a foundation for your own computer vision projects. Our partner, Labelbox, will demonstrate how you can save time and greatly improve the accuracy of your model training for media and entertainment use cases by creating and managing your training data, collaboration and processes in a single place — so you can focus on building the next big thing.

Join us to see hands-on demos by Labelbox and Databricks, and learn how data and advanced analytics are driving this high-powered advertising, consumer and content lifecycle use case.   

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