Meetup Computer Vision - How to scale training Data

“It’s better to have a standard algorithm on a lot of good data than a state-of-the-art algorithm on little data.“ Thus data labelling has become, even if very painful, an unavoidable step in the modeling process. However, scaled annotation requires a combination of intuitive interfaces and machine learning (for pre-annotation for example). Moreover, scaling without compromising data quality requires transparency throughout the labeling process to facilitate quality monitoring and collaboration internally a