bound on the performance and then the cycle again by using no labels at all you can actually do pretty fully so like you can roughly say that 60% of the pixels are labeled correctly with the right with the right class we actually know even with no information on how they should be related to each other know so there's there's no pairs so you you train you train the whole system with just a bunch of unordered images and then a bunch of an order masks and then it's learning to align them good good question I don't think