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Automated Labeling
The whole pipeline behind it of being able to transfer those data to the annotator is a challenge in itself. There are even simpler challenges like most of the folks that we're paying to do manual labeling. The ultimate goal for us is when you reach the millions, one image out of one million is still something that a human annotator can do. But how do you ensure the quality and the consistency of the million of images behind it? And that is the fundamental challenge for the labeling part that we are addressing.