<body><script type="text/javascript"> function setAttributeOnload(object, attribute, val) { if(window.addEventListener) { window.addEventListener('load', function(){ object[attribute] = val; }, false); } else { window.attachEvent('onload', function(){ object[attribute] = val; }); } } </script> <div id="navbar-iframe-container"></div> <script type="text/javascript" src="https://apis.google.com/js/platform.js"></script> <script type="text/javascript"> gapi.load("gapi.iframes:gapi.iframes.style.bubble", function() { if (gapi.iframes && gapi.iframes.getContext) { gapi.iframes.getContext().openChild({ url: 'https://www.blogger.com/navbar.g?targetBlogID\x3d17945780\x26blogName\x3dGregoogle+-+Gregor+Rohrig\x26publishMode\x3dPUBLISH_MODE_BLOGSPOT\x26navbarType\x3dBLACK\x26layoutType\x3dCLASSIC\x26searchRoot\x3dhttps://gregoogle.blogspot.com/search\x26blogLocale\x3den_GB\x26v\x3d2\x26homepageUrl\x3dhttp://gregoogle.blogspot.com/\x26vt\x3d2228753202284636482', where: document.getElementById("navbar-iframe-container"), id: "navbar-iframe", messageHandlersFilter: gapi.iframes.CROSS_ORIGIN_IFRAMES_FILTER, messageHandlers: { 'blogger-ping': function() {} } }); } }); </script>
 

Google Image Labeler - Tagging images somewhat differently

Here is a fun way of aiding the tagging of gazillions of images.

Google Image Labeler is a new feature of Google Image Search that allows you to label random images to help improve the quality of Google's image search results.

It is quite fun to participate. Once logged into your Google account you will be randomly paired with a partner who is online and using the feature.

Over a 90-second period, you and your partner will be shown the same set of images and asked to provide as many labels as possible to describe each image you see. When your label matches your partner's label, you'll earn some points and move on to the next image until time runs out. After time expires, you can explore the images you've seen and the websites where those images were found. And we'll show you the points you've earned throughout the session.

Try it!

There