[1] https://github.com/davidsandberg/facenet/tree/master/src/ali...
"Please contact us for a facial recognition demo or to discuss your requirements for a facial recognition technology solution."
My assumption from that is the price is way too high for me as a hobbyist developer, and it's not worth the hour or more of back-and-forth to try a demo and get prices. Give me clear pricing on the website and some way to access a demo without having to contact you, that way I can tell in 60 seconds if this is worth pursuing or not.
I actually am in the market for something like this, I built AllThePeople.net and would love a better large-scale face recognition system. But no, I will not contact you for a demo and to discuss pricing.
Does anyone have a clue on how much it will cost to detect faces and extract 128d encodings from ~100M of 200x200 photos?
Amazon 52.66 %
Google 40.43 %
IBM 39.36 %
Microsoft 17.55 %I'm wondering what's up with the Microsoft result. Some sort of error in processing the images?
Not to mention the article does not address any real world key points of using FR. Their usage rages are a joke; real world scenarios begin at 100K much sooner than a month, and are typically measured with these numbers per minute or hour. Real world usage of FR at the rates of these services breaks banks.
When I first started exploring these apis I just assumed Google would be amazing but that is _not the case at all_. I suspect they save their best stuff for their own products and the api solutions always lag a little behind. IBM may be better because their apis are such a core offering. Microsoft's stuff is a clear afterthought and the only Amazon service I've had success with is Rekognition. That said, Transcribe just launched so it may/will improve with time.
This is great! Honestly, most researchers need to start doing this step. Baselining around accessible human capabilities (even if rough) is a super great way to show the benefits or drawbacks of using ML, especially in image processing applications, where it's more directly comparable.