As I understand, they do use computer vision, but the 1000 people are just either reviewing it or labelling the data for computer vision. Which seems like a nor

As I understand, they do use computer vision, but the 1000 people are just either reviewing it or labelling the data for computer vision. Which seems like a normal way to me to start with a system like that. You definitely need to review it for a while to be certain of its quality and understand the edge cases which I'm sure there would've been many of. E.g. the way I imagine it to be is that this CV system will attempt to identify the item and confidence that it is that item. If the confidence is too low, it will trigger a signal for human feedback, then human will either confirm or reject.