Pretty slick...the demo page is pretty fast and easy to use: https://www.project... | Hacker News

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		danso on April 30, 2015 \| parent \| context \| favorite \| on: Project Oxford – An evolving set of APIs for natur... Pretty slick...the demo page is pretty fast and easy to use: https://www.projectoxford.ai/demo/visions#Analysis I tried a few photos...the categorization of the photos wasn't as impressive as the examples they showcase...for example, in every photo, "outdoors" was the only tag I got, even for this photo which is inside a subway car (I was hoping it would receive the train/station tag, which is apparently one of the things it recognizes in the demo photos): http://i.imgur.com/hpBqGYw.jpg On the other hand, it picked out 6 of the 7 faces in the photo, correctly determined their gender, and (AFAIK) gave reasonable estimates to all of their ages. http://i.imgur.com/lEugMR9.jpg

jonas21 on May 1, 2015 | [–]

Interesting. Clarifai has a similar image tagging demo (http://www.clarifai.com#demo), and their results seem more reasonable:

http://i.imgur.com/o2FVfSo.jpg

Syrup-tan on April 30, 2015 | [–]

The ``Adult Score'' and ``Racy Score''s seem to work rather well on drawn content[0][1]

[0] https://imgrush.com/26f8ec00a4b0

[1] (NSFW) https://imgrush.com/be7c4078c7a0

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