Google Image Labeler Uses Human Labor

Michael Arrington

J. Michael Arrington (born March 13, 1970 in Huntington Beach, California) is a serial entrepreneur and the founder of TechCrunch, a blog covering startups and technology news. Arrington attended Claremont McKenna College (BA Economics, 1992) and Stanford Law School (JD, 1995) and practiced as a corporate and securities lawyer at two law firms: O’Melveny & Myers and Wilson Sonsini Goodrich... → Learn More

Friday, September 1st, 2006

Google Image Labeler launched today. It’s a game, based on Luis von Ahn’s ESP Game, that puts two random users together and asks them to label/tag an image. The idea is that if two people come up with the same label, it is probably a good one and will make Google’s image search better.

See Google Blogoscoped for the initial story and Danny Sullivan who found a ton of additional facts, including a video by Luis von Ahn stating that this game could effectively label all Google indexed images in two months.

I tried the game. It’s fun, in a why-am-I-doing-this kind of way. I focused on labeling everything I saw as “purple” and “Donald Trump”.

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