Or, they subtracted a digital elevation model from a digital surface model, ran a point-in-polygon match against an existing building dataset, and labelled the difference as the height of the building. No ML needed.

There's a notice in the bottom-left corner on desktop that says: "This is a machine-learning-derived product. Errors may occur"

Other comments said they fed 2d aerial imagery into transformer and thats it.