images that are labeled it still gets like 78 percent accuracy I think the images are chosen as good representations of their class but still one image per class pretty pretty cool an important part of this is the ablation study where they say okay we want to tease apart why this algorithm why this on semi-supervised learning technique works so well and they find several important factors they find for example that they're all mentation strategy is extremely important so how they augment the images is very important you see here the error of this