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Facial recognition test

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Are you a super-recogniser? Take our challenging test to find out if you are one of a small proportion of people with exceptional abilities in identifying faces. Note: This test is not mobile compatible. You will need to complete it on a desktop or laptop computer. In contrast, matching unfamiliar faces can be surprisingly challenging even when conditions are optimal.
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TestMyBrain: Super Recognizers

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Facial Recognition Testing Information (FRVT) | CyberExtruder Inc.

It's happened to you before: At the grocery store, perhaps, or at a networking event, you meet the gaze of a person you believe is a total stranger, and yet you feel in your gut that you know them from Welcome to the weird and wonderful world of super-recognizers, a rare subset of people who have an uncanny ability to recognize virtually every face they've ever seen, even from the most innocuous, boring exchanges. Scientists estimate that only about 2 percent of the human population is made up of super-recognizers, and even fewer people notice they possess this ability. Let's nerd out over it together. Since its inception, about 25, people have taken the quiz, with some 5 percent of people scoring a 70 percent or higher—the super-recognition range.
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Take This Quiz to See if You Are a Face “Super-Recognizer”

Some people are truly exceptional at recognizing faces. Even if the person spotted was a youngster at the time and has meanwhile become a grown woman, or a man with a full beard, they can still make the ID. On a typical face-recognition test, a super-recognizer will score percent. But the UNSW group went a step further and created a particularly difficult test on which most test-takers will score between 50 and 60 percent but a super-recognizer will reach 70 percent. The highest score ever was 97 percent, and no one has ever achieved a perfect score, the researchers reported in PLOS One.
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Aureus 3D facial recognition software is highly efficient at finding and matching faces. CyberExtruder provides access to the best facial recognition testing information possible. For more than two decades NIST has been investigating the performance of different biometric technologies. Results show that three-dimensional morphable models and normalization increase performance. We are very proud of our performance in the first ever comparison of algorithms on video datasets.
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