London: Google's latest Neural Image Assessment (NIMA) system is using Artificial Intelligence (AI) to scan all the pictures you took on your phone for quality and then help choose the most attractive ones.
The system uses deep convolutional neural networks, a type of computing system that replicates the biological networks in the brain, to scan phone photos for both technical and aesthetic elements, according to the Daily Mail.
Google hopes to develop the system as App to suggest improvements such as tweaks to brightness and contrast in real time, and even offer tips to improve the framing and 'aesthetic beauty and emotional appeal' of images.
With data based on what human judges generally select as good images in photo contests, the algorithm rates photos based on technical elements such as blurriness, highlights and use of shadows.
Once it is officially released for use on phones and computers, the system will also judge photos based on more subjective elements of attractiveness, such as aesthetic beauty or emotional appeal.
Ideally, each photo will be compared to a reference image of a similar subject and style.
But if no such reference image is available, Google will use statistical data to gauge what image humans are most likely to prefer.
The algorithm gives all photos a composite score of 1-10 and suggests edits for things like better brightness and exposure.
Google's engineers hope that the system will allow users to make the edits in real time.
"Our proposed network can be used to not only score images reliably and with high correlation to human perception, but also it is useful for a variety of labour-intensive and subjective tasks such as intelligent photo editing, optimising visual quality for increased user engagement, or minimising perceived visual errors in an imaging pipeline," Google software engineer Hossein Talebi wrote in a blog post.
Google claims that the photo scores very closely match the ratings given by human judges, with photos that both have the right technical elements and tug at the heartstrings receiving the highest scores.