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Photos of the Day: Object Recognition without Human Calibration

Thu, 01/16/2014 - 9:10am
Todd Hollingshead, Brigham Young University Homepage

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Lee and his students fed their object recognition program four image datasets from CalTech (motorbikes, faces, airplanes and cars) and found 100 percent accurate recognition on every dataset. The other published well-performing object recognition systems scored in the 95 to 98 percent range. Photo illustration by BYU Photo

Read: BYU's Smart Object Recognition Algorithm Doesn't Need Humans

For more information visit http://home.byu.edu/home/.

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