“Nucleus makes it easy for us to identify edge cases, create an Autotag, and then prioritize what labels we need from Scale. Our collaboration with Scale began with more and more targeted labels for 2D and 3D data, progressed to HD map labeling, and today extends to dataset management and …

“Before Nucleus, we used several scripts to find similar examples in our dataset, but the experience wasn’t reproducible or particularly collaborative. Nucleus helps us quickly establish new slices of our dataset suitable for labeling. Thus, with Nucleus, we are able to uncover rare classes in our dataset, finding larger sample …