New app uses A.I to tell if your images are awesome or not

The stock photography search engine Everypixel has launched a new web app called Everypixel Aesthetics that uses a neural network to tell you how awesome any photo is.

“We trained neural networks to see the beauty of photos the same way as you and I do,” Everypixel says of their new app. “To handle it, designers, editors and experienced stock photographers helped us generate a training dataset with 956,794 positive and negative patterns.”

Using the dataset, the service then takes a look at any photo you provide and returns a percent chance indicating the likelihood that the photo is “awesome.” Alongside the percentage, the site also automatically generates a list of spookily accurate tags relevant to what’s in the shot.

It didn't seem to think much of Steve McCurry's iconic 'Afghan girl' shot, scoring it a lowly 92.2%, while a nice, but far from iconic, stock shot scored a not too shabby 99.6%, just 0.4% off total awesomeness (below).

It's worth noting that in a disclaimer, Everypixel Aesthetics states that it doesn't measure the coolness or beauty of a person or any object in a photo. It cares only about technical parts like brightness, contrast, noise, and so on.

So is any of it accurate? Try it yourself and see.