Twins Or Not? Let Microsoft Tell You With A Twin Detector

Twins Or Not? Let Microsoft Tell You With A Twin Detector

Microsoft Inc. has crea ed a new website called Twinsornot.net that could compare two portraits and could tell whether the concerned person has a  twin or not. This is the next research achievement after its launch of HowOld , which could estimate your approximate age through the same process of image recognition.

Twinsornot
After making the announcement of Windows 10, the world’s largest software maker, Microsoft has utilized its research laboratories located at the headquarters of Microsoft-Redmond, to the fullest and came up with an astonishing powerful software that could relate two photographs and could show the relative value of similarity which could tell whether they are related or twins and if they are, how far they are related would be calculated and displayed.


This website TwinsOrNot, asks for two photographs and generates the proportionality value based on the percentage of similarity. Though the previously launched website, which could calculate the possible age of people got outdated due to the inaccuracy in the algorithm, Mat Velloso, a software engineer at Microsoft who created this website and uploaded it from a hotel room in just 4 hours, was hoping for the viral buzz in the social media after its launch.

This site uses two photos and will evaluate the commonness in people and will give a score ranged between 0 and 100. For calculating the similarity, it uses Face API, an application programming interface, which is a platform of intelligent services. This will improve the accuracy and detection as it is fed with machine learning algorithms. This can be used with any two photos, might be Hrithik Roshan and Bradley Cooper or Bipasha Basu and Sophia Loren.

The creator also explained the process that he undertook in building the site in his own blog. This is an amazingly yet funny invention in the field of machine learning. This is one of the various research processes such as Human-Computer interaction, E-science, Speech and Natural Language Processing, etc. that are conducted in the Redmond Research labs, which are currently making history.

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