MIT Creates New System Can Translate Food Pics Into Recipes

Have you ever eaten a dish and instantly wished you had the recipe? Well, a recently developed system may soon make that happen, simply by snapping a picture of your food.

In case you missed it, researchers at MIT have developed a neural network called Pic2Recipe that will be to food what  Shazam is for music. You take a picture, and it work backwards to develop a recipe for it. The researchers developed a database, “Recipe1M” from millions of recipes and millions of pictures on sites, and were able to train the network to “find patterns and make connections between the food images and the corresponding ingredients and recipes."

As for how well it works, it seems there’s still some work that needs to be done. The MIT team calls it a work in progress because it does well with baked goods. However, it's not up to snuff when “identifying more ambiguous foods, like sushi rolls and smoothies.” There’s also a bit of confusion when there are multiple recipes for the one dish. 

Source: MIT News


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