How users think about image search …

There is an article about some new image classification and labeling system online: The UC San Diego has developed (together with Google, they brought in the data) a machine learning approach for automatic image labeling. Find the article here.

Well this is not the first image analysis engine that was created and it won’t be the last, but the discussion at slashdot was particulary funny. Some excerpts go here:

  • I remember when we had to go to a gas station and *buy* porn. Now you have computers out there finding porn for you. You kids today have it too easy!
  • If this doesn’t revolutionize the searching of online porn galleries, I don’t know what will.
  • … was similarly trained to recognize tanks in landscapes. […] Then they introduced it to a new batch of images and it fell apart. Turns out that the initial set of images had all the tanks shot on a sunny day and all the tankless images shot on a cloudy day (or vice versa). It had learned to tell a sunny day from a cloudy day. Ha ha.

  • Now I can search for porn stars that look like that girl in my English class!

Thanks to social software we now know how the ordinary talkative geek thinks about image search 😀

(thx to Roman for the hint on the article & the discussion)