Turns out after they’ve been trained on enormous datasets, algorithms can not only tell what a picture is such as knowing a cat is a cat but can also generate absolutely original images.
Turns out after they’ve been trained on enormous datasets, algorithms can not only tell what a picture is such as knowing a cat is a cat but can also generate absolutely original images. The that makes this possible has matured significantly in recent years and in some applications is very proficient, but in other ways, still has a long way to go.
Recognizes What an Image Is
It’s taken two decades for computer scientist s to train and develop machines that can “see” the world around them—another example of an everyday skill humans take for granted yet one that is quite challenging to train a machine to do.
Facial recognition technology, used both in retail and security, is one way and its ability to “see” the world is starting to be commonplace. Retailers use facial recognition technology to better market and sell to their target audience. In one particularly intriguing use case, some Chinese office complexes have vending machines that identify shoppers through facial recognition technology and track the items they take from the machine to ultimately bill the shoppers’ accounts. Even anonymous data about shoppers collected from cameras such as age, gender, and body language can help retailers improve their marketing efforts and provide a better customer experience.
Retail giant Walmart deployed a fleet of stock-monitoring robots that can identify through computer vision when a shelf needs more product and alert humans to ensure it happens. Target is also testing out similar technology.
Seeing , an iPhone app uses to help blind and partially-sighted people navigate their environment by using computer vision to identify and speak its observations of the scenes and objects in its field of vision. From Face ID to unlock the iPhone X to cameras on the street used to identify criminals as well as the algorithms that allow social media platforms to identify who is in photos, is everywhere.
Now that is able to understand, for the most part, what an image represents and can tell the difference between a stop sign and a dog, a dog from an elephant and more, the next frontier to perfect is image generation.[…]