Computer Vision

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.

https://pjreddie.com/darknet/imagenet/

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Image upscaling supercharged

Let's Enhance. A State of the art neural network to help you upscale and enhance your images.

https://letsenhance.io/

Awesome Computer Vision

A curated list of awesome computer vision resources:

https://github.com/jbhuang0604/awesome-computer-vision

First-person Hyperlapse Videos (Technical)

We present a method for converting first-person videos, for example, captured with a helmet camera during activities such as rock climbing or bicycling, into hyperlapse videos: time-lapse videos with a smoothly moving camera.