Can a computer algorithm reliably identify clothing combinations that will make you look good? Scientists at eBay’s research labs are trying to find out.
Have you’ve ever puzzled over what to wear in the morning, you might also have wondered whether you could leave the choice to an algorithm that could recommend a decent combination of clothes.
The short answer is no. Various groups have studied the problem of automated fashion advice without anybody really nailing it.
Today, it is the turn of Anurag Bhardwaj and pals from eBay Research Labs in San Jose. These guys have developed two different fashion recommendation systems and then crowdsourced opinions about whether the recommendations they provide are any good.
The results provide some interesting insight into the way humans evaluate clothing but also suggest that automated fashion recommendations still have some way to go.
These guys begin by creating two different fashion recommendation algorithms, which they train on a dataset consisting of more than 13,000 photographs of fashion models taken from the web. In each photograph, the model is wearing a top and bottom combination allowing the algorithms to look for correlations between the different top and skirt combinations.