Have fun and help Google improve the quality of image search

On August 31,2006 Google launched a new game for its users. It is called Google Image Labeler.

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

Each user who wants to participate will be paired randomly with a partner who’s currently online and also using Google Image Labeler. Over a 90-second period, both participants will be shown the same set of images and asked to label each image based on what they see. They’ll also be shown words that can’t be used as labels. Both participants can add as many labels as they want until one of them matches a partner’s label. After there’s a match, they’ll see a new image and continue the cycle, until time runs out. Contributors will also see points they’ve earned throughout the session.

Its is a good game as well as you can help google improve the quality of image search.

So far I’ve got 10300 cumulative points. 🙂

Whats your score???

Shobhit Kumar Prabhakar

Shobhit Kumar Prabhakar

Shobhit Kumar Prabhakar, known online as GeekLord, is a software developer and the founder of Cyber Mitra Solutions in Lucknow, India. He has worked on websites, applications, and data systems since 2005, with experience spanning more than 800 web projects and over 600 survey instruments. His work includes custom WordPress themes and plugins, web applications, e-commerce, and multilingual field surveys built with ODK, SurveyCTO, KoboToolbox, and XLSForm. Survey projects involve skip logic, repeat groups, randomisation, validation, multimedia, and offline data collection. He also works on data cleaning, analytics, reporting, APIs, Linux and cloud deployments, and AI tools and automation using PHP, Python, and JavaScript. He holds a B.Tech in Information Technology from Uttar Pradesh Technical University and a diploma in Electrical Engineering from Hewett Polytechnic, Lucknow. On GeekLord.com, he shares practical guides, code, troubleshooting notes, and experiments in programming, web development, AI, and useful software, alongside photography and personal writing. His fuller background and project examples are on the About Shobhit page and shobhit.net.

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