#HowOldRobot
May. 12th, 2015 10:29 pm![[personal profile]](https://www.dreamwidth.org/img/silk/identity/user.png){kind=small}
yannisОлоло, новая популярная игрушка: онлайн-сервис старающийся определить по фото возраст человека.
Можно запросто сходу убить на неё час или около того.
http://how-old.net/
This is a fun story of how we were expecting perhaps 50 users for a test but - in the end - got over 35,000 users and saw the whole thing unfold in real time.
We were building a demo for the day 2 keynote of Microsoft's Build2015 developer conference. We wanted to showcase how developers can easily and quickly build intelligent applications using Azure services. Using our newly released Face detection API's we set up an age guessing website called http://how-old.net on Azure. This page lets users upload a picture and have the API predict the age and gender of any faces recognized in that picture. Now, while the API is reasonably good at locating the faces and identifying gender it isn't particularly accurate with age, but it's often good for a laugh and users have fun with it. We sent email to a group of several hundred within Microsoft asking them to try the page for a few minutes and give us feedback - optimistically hoping for a few tens of people to try it out and generate some usage data to test the demo.
Within hours, over 210,000 images had been submitted and we had 35000 users from all over the world (about 29k of them from Turkey, as it turned out - apparently there were a bunch of tweets from Turkey mentioning this page).
The demo showed real time insights about how people were using this tool. For instance, we had assumed that folks would mostly select from pre-canned images or use the Bing image search box on the page. But over half the pictures analyzed were of people uploading their own images. This insight prompted us to improve the user experience and we did some additional testing around image uploads from mobile devices.
Можно запросто сходу убить на неё час или около того.
http://how-old.net/
This is a fun story of how we were expecting perhaps 50 users for a test but - in the end - got over 35,000 users and saw the whole thing unfold in real time.
We were building a demo for the day 2 keynote of Microsoft's Build2015 developer conference. We wanted to showcase how developers can easily and quickly build intelligent applications using Azure services. Using our newly released Face detection API's we set up an age guessing website called http://how-old.net on Azure. This page lets users upload a picture and have the API predict the age and gender of any faces recognized in that picture. Now, while the API is reasonably good at locating the faces and identifying gender it isn't particularly accurate with age, but it's often good for a laugh and users have fun with it. We sent email to a group of several hundred within Microsoft asking them to try the page for a few minutes and give us feedback - optimistically hoping for a few tens of people to try it out and generate some usage data to test the demo.
Within hours, over 210,000 images had been submitted and we had 35000 users from all over the world (about 29k of them from Turkey, as it turned out - apparently there were a bunch of tweets from Turkey mentioning this page).
The demo showed real time insights about how people were using this tool. For instance, we had assumed that folks would mostly select from pre-canned images or use the Bing image search box on the page. But over half the pictures analyzed were of people uploading their own images. This insight prompted us to improve the user experience and we did some additional testing around image uploads from mobile devices.
