Generally, neural networks do not memorize their training data. If they worked that way, they would not do well with samples they've never seen before. So no,

Generally, neural networks do not memorize their training data. If they worked that way, they would not do well with samples they've never seen before. So no, I would not say that the labellers are driving the cars. They do play an important role in the process of building these systems, though.