[obmelvin]

If I'm understanding correctly, they are talking about how they are solving very specific problems with their models.

In this case, if you look two images up you will see e-commerce image with many images composted into one image/layer. How will their system automatically decide whether all those should be separate images/layers or one composted image? To do so they trained a model that examines web pages and <img> tags and see's their location. Basically, they are under the assumption that their data has good decisions and you can learn in which cases people use multiple vs one image.

I could be misunderstanding :)