The cold hard reality of machine learning is that most useful data isn't readily available to just be collected. Semi-supervised and weakly supervised learning, data augmentation, multi-task learning, these are the things that will enable machine learning for the majority of companies out there who need to build datasets and potentially leverage domain expertise somehow to bootstrap intelligent features in their apps. This is great work in that direction for computer vision.

Even the giants are recognizing this fact and are leveraging it to great effect. Some keywords to search for good papers and projects: Overton, Snorkel, Snorkel Metal