labels to actually end up with a really robustly labeled data set if you don't do that you're gonna end up with a garbage dataset and you know how it is in machine learning garbage in garbage out your model is not gonna learn accurately what you wanted to learn and if you do the math behind this you will find out that building up that label data set cost you ten thousand hours work time and that amounts to more than a quarter of a million US dollars just labeling cost and this is significant right of course if you're big if your business