Building Efficient Active Learning Workflows With Superb AI

The large quantities of labeled data required in traditional supervised learning algorithms has led to slow-downs for many Computer Vision teams looking to build detection models, giving way to modified and streamlined approaches such as active learning. Join Tyler McKean, Head of Customer Success for Superb AI, as he discusses the various methods of Active Learning and how to create automated Active Learning workflows with Superb AI.