An algorithm created to identify recipes for food just from a photograph has been demonstrated by researchers at the Massachusetts Institute of Technology (MIT).
The neural network was trained on a dataset of one million photos and one million recipes.
The trial model worked best on desserts and found smoothies and sushi more challenging, the researchers said.
The team has released an online trial although it is not a finished product.
When tested by the BBC, recipes that were generated based on a picture of spaghetti bolognese included “Italian tomato sauce” and “gunk on noodles”.
