The Camera, Transformed by Machine Learning - Core77

Together, they suggest a shared cultural understanding of a camera: a classic point-and-shoot. But the cameras we encounter every day bear little resemblance--in form or function--to this vestigial object. New capabilities in software, new hardware formats and imaging technologies, and emerging user behaviors around image creation are radically reshaping the object we know of as the "camera" into new categories. Perhaps the most impactful influence on the camera is being brought about by computer vision: empowering cameras to not only capture various kinds of images but to also parse visual information--effectively, to understand the world. Software trained on vast datasets of labeled images can recognize things like vehicles, dogs, cats, and people, along with facial features, emotions, and second-order information like movement vectors and gaze direction from raw images and videos.