Semantic segmentation is the hardest type of annotation problem to build automation for. Without going into too much detail, the shape of annotations tend to be irregular which means our model needs more data to be accurate. Having said that, keep in mind that what makes Hasty different, is that our AI assistants improve the more data they see. After 20 images, you might have a 10% assistance rate (percentage of annotations created by assistants). When you've annotated 100 images, it might be 40-65%. When you have thousands of images annotated, we can offer very high percentages of automation - everything from 94% to 88% - depending on the use case.