Comment by teruakohatu

I agree. To use an example from a talk I attended last year:

A govt. department contracted out the development of an ML model to identify an invasive tree species from sat and aerial imagery. New Zealand is sparsely populated and mountainous, so crews are deployed for a week at a time by helicopter to remove these trees. It is very expensive. By being able to scan large amounts of the country for these trees, they can optimise the removal. The model appears to work very well and can identify the trees when they are young.

These kind of deep models are hard to do with traditional computer vision.