> For most machine learning systems, "performance equivalent to an expert human" is the best you can expect - simply because it's learned from training data labelled by expert humans.

However, this is one of the few cases where presumably the data could be perfect, far exceeding the ability of a expert human.

Some things have no ground truth. For example, masking objects for training vision object detection models. Does the object end at this pixel or that one?