semantic segmentation so this way you're able to solve a lot of harder computer vision problems with black collecting label data is much harder and you can actually just retrain a good classifier take those features and start the underlying downstream tasks with a much better prior and you don't have need so much label data now and you can also converge much faster on these harder problems so that way the recipe is very clear so you just collect a large table data set your trainer model you deploy and as long as you have a lot of good