I have some experience with computer vision [1]. It is non-trivial and requires real processing power to do it at scale. So I suspect they'll be charging soon unless they have a huge amount of funding. Other than that potential issue, this looks like a fairly usable, credible API.<p>[1] I wrote software to scan Facebook profile photos for overweight people. We store their ID's for targeting through FB ads.
I believe this is a good place to plug a very usable open source computer vision project: <a href="http://openbiometrics.org/" rel="nofollow">http://openbiometrics.org/</a><p>Fantastic alternative you can hack with if you're allergic to APIs that "might" charge their free service in the future.
Looks interesting, might implement this on a project soon.<p>Their pricing is a bit iffy though... " The Face++ APIs are currently provided free of charge. However, Face++ may charge fees for future use of or access to the Face++ APIs or the Face++ services according to its sole discretion. If Face++ decides to charge for the Face++ APIs Services, Face++ will provide you prior notice of such charges. Face++ may also charge You when providing You a service different from the service under these Terms; for example, we may charge additional fees for excessive API use. "<p>not even a rough clue given as to how much they'll charge (could be reasonable, or very expensive)...<p>but, still, looks very good
How do they get away with using all those celebrity photos?<p>Founder/CEO of the 3D Avatar Store here. We do most of what they do: face detection, facial feature detection and tracking, smile/expression analysis, and facial recognition. And we go further with 3D Reconstruction into performance animation ready 3D geometry, automated lip sync generation and so on.
I've tried this for a hobby project, and was quite surprised by the quality of the API. I'm a bit wary though because of the lack of a clear business model / pricing on their website.
Recognition leaves something to be desired. Detection classifies her as female, 40 years old ±10 years. Recognition apparently doesn't add metadata parameters from detection into it's weighting:<p><a href="http://imgur.com/n23vVQT" rel="nofollow">http://imgur.com/n23vVQT</a>
<a href="http://challengepost.com/software/smileforce" rel="nofollow">http://challengepost.com/software/smileforce</a><p>ran emotional sentiment analysis from an ipad camera while user scrolled thru menu items. won a prize in salesforce $1 hackathon
What's the principle behind gender detection? Is it based on machine learning algorithms trained with a huge pile of data, or is there some inherent geometric difference between male and female faces that I'm missing?
Test it in the browser: <a href="https://www.mashape.com/faceplusplus/faceplusplus-face-detection" rel="nofollow">https://www.mashape.com/faceplusplus/faceplusplus-face-detec...</a>
Lol, it doesn't like my picture much :P I'm a 31 year old white guy (ok, was 29 in the picture) and it tells me I'm probably 43 with 7 variance and black :P
is this a project by the people at Face.com? I know they were acquired by fb some time ago so it would be neat to know they are still working on related stuff post-acquisition