
Sign up to save your podcasts
Or


Ten 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.
Learn more about our flagship conference happening this April at attend.ted.com/podcast
Hosted on Acast. See acast.com/privacy for more information.
By TED4.1
1003910,039 ratings
Ten 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.
Learn more about our flagship conference happening this April at attend.ted.com/podcast
Hosted on Acast. See acast.com/privacy for more information.

7,841 Listeners

1,231 Listeners

491 Listeners

1,845 Listeners

1,058 Listeners

517 Listeners

2,233 Listeners

402 Listeners

461 Listeners

1,112 Listeners

660 Listeners

1,432 Listeners

397 Listeners

1,416 Listeners

9,148 Listeners

1,251 Listeners

584 Listeners

1,492 Listeners

251 Listeners

94 Listeners

108 Listeners

1,412 Listeners

1,467 Listeners

291 Listeners

82 Listeners

222 Listeners

154 Listeners

43 Listeners

46 Listeners

17 Listeners

116 Listeners

7 Listeners