Google Image Labeler Updates Scoring System

Google Image Label allows users to label random images to help improve the quality of Google's image search results. When you and your partner's label matches, you'll earn 100 points. But it seems that people tries to score higher by submit too general tags such as 'men', 'people' and 'sky' so that the chances of matching two labels increase. Google, therefore, tackles the problem by differentiate the scores depending on how specific your label is and ranges from 50 to 150 points. Here is an example: sky (50 points), bird (60 points), soaring (120 points), or frigate bird (150 points). Here is the official word from Google:

Labels that are more descriptive receive more points than generic labels. For example, for an image of a red corvette, matching on "red car" or "corvette" would receive more points than a match on the label "car". This is because more specific labels are even more helpful in our efforts to improve the quality of image search results, so we wanted to credit players accordingly.

[Via Google Operating System]