Google's AI can tell how good your photos are
The Mountain View search giant published a blog post this week in which it described an academic paper on a Neural Image Assessment (NIMA) system.
The system uses a deep convolutional neural network (CNN) to rate photos based on what it thinks you will like, both technically and aesthetically.
The network was trained on a dataset of images that had been rated by humans. The result is an AI that "closely" replicates the mean scores given by human raters when judging photos.
In the blog post, Hossein Talebi, a Google software engineer, and Peyman Milanfar, a Google research scientist in machine perception, wrote:
The technology isn't yet live on Google's devices or on its browsers but the researchers explained the significance of their work.