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\nTED: How computers learn to recognize objects instantly | Joseph Redmon\n

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\n\nPublisher:\n\nTED Talks\n\n\n
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\nTen years ago, researchers thought that getting a computer to tell the difference between a cat and a dog would be almost impossible. Today, computer vision systems do it with greater than 99 percent accuracy. How? Joseph Redmon works on...\nTen years ago, researchers thought that getting a computer to tell the difference between a cat and a dog would be almost impossible. Today, computer vision systems do it with greater than 99 percent accuracy. How? Joseph Redmon works on the YOLO (You Only Look Once) system, an open-source method of object detection that can identify objects in images and video -- from zebras to stop signs -- with lightning-quick speed. In a remarkable live demo, Redmon shows off this important step forward for applications like self-driving cars, robotics and even cancer detection.\n
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Resource Details

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Educator Rating
Not yet Rated
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Media Length
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7:38
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Grade
12th - Higher Ed
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Subjects
STEM
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Media Type
Instructional Videos
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Source:
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\nTED Talks\n\n
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Date
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2017
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Language
English
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Audiences
For Teacher Use
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Usage Permissions
Fine Print: Educational Use
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Concepts

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thousands, regions, speed, size, work
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Additional Tags

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image, 20 seconds, real time, process, object detection, world, interact, times, find, trained, correct, build, malamute, computer vision, algorithm;ai;computers;sight;technology, system, detection, classifier, detector, move, important, kind, driving vehicle, produce detection, laptop, label
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Classroom Considerations

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\n\" data-title=\"Get Full Access\" data-container=\"body\" rel=\"popover\" tabindex=\"0\" aria-label=\"Play video: TED: How computers learn to recognize objects instantly | Joseph Redmon\" href=\"/subscription/new\">\"TED:\n\n
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