Self-Serve Synthetic: A Technical Workshop on Augmenting Training Datasets
Creating training data sets for visual AI has traditionally been an exhausting and expensive task involving human annotation
and low-grade images. The end result is usually frustration, cost and delay together with an unpredictable neural net. In this
session, learn how AI.Reverie solves that problem by creating perfectly marked up images in the tens of thousand at a vastly reduced cost and in a fraction of the time.