In practice Faster R-CNN worked better for me than YOLOv2 as it, in contrast to what is reported in the paper, had a higher recall for the detect task I used it for.
Edit: Strike that. They're not actually providing any model data afaict. I assumed this was comparable to AWS's offering.
(And I just noticed I should not have include the post as part of the sign–sorry for any inaccuracies I may have caused)
Say to detect if something is or isn't a hot dog?
-GPS position, intent/goal, domain etc.
I'm at a dog show I would want breed etc.
I'm on the street I just want it come back dog maybe dangerous dog, friendly dog.
Also, would be cool/scary to just get back movable object 1, person 1, living movable object 3 etc. and if I give it multiple scenes from a video it knows person 1 is the same person 1 and if I name (them) Tony it keeps tracking tony.
Most autonomous humans ship with this capability.