How computers learn to recognize objects instantly | Joseph Redmon

Published: 18 August 2017
on channel: TED
1,117,802
29k

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.

Check out more TED talks: http://www.ted.com

The TED Talks channel features the best talks and performances from the TED Conference, where the world's leading thinkers and doers give the talk of their lives in 18 minutes (or less). Look for talks on Technology, Entertainment and Design -- plus science, business, global issues, the arts and more.

Follow TED on Twitter:   / tedtalks  
Like TED on Facebook:   / ted  

Subscribe to our channel:    / ted  


On this page of the site you can watch the video online How computers learn to recognize objects instantly | Joseph Redmon with a duration of hours minute second in good quality, which was uploaded by the user TED 18 August 2017, share the link with friends and acquaintances, this video has already been watched 1,117,802 times on youtube and it was liked by 29 thousand viewers. Enjoy your viewing!