AI out of MIT can cook up perfect pizza recipe from looking at a photo

CNET | 6/19/2019 | Bonnie Burton
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Click For Photo: https://cnet3.cbsistatic.com/img/lCsYkS-VJRMLY4R9AzbmW_mrQxc=/2019/03/13/ff7ad7c0-83a1-4c5f-b4c7-9aa774e9c5f1/bjs-mini-pizza.jpg

Artificial intelligence can now figure out recipes based on images of pizza.

Chicago deep-dish with pepperoni. New York thin-crust topped with pesto chicken. Vegan, gluten-free with veggies. What do you think makes for the perfect pizza?

Study - Networks - Pie - Study - MIT

A recent study suggests neural networks could create the ultimate pie. The study out of MIT, which appeared earlier this month on Arxiv.org, focuses on a neural network called PizzaGAN that can learn and replicate the ways of making pizza just from looking at photos of pies.

Generative adversarial networks (GANs) use models to make decisions. The PizzaGAN project wants to "teach a machine how to make a pizza by building a generative model that mirrors this step-by-step procedure."

PizzaGAN - Dataset - Images - Instagram - Pizza

PizzaGAN uses a dataset of 9,213 images downloaded from Instagram that show a single pizza. Each image has been assigned a set of labels that describe the toppings but exclude the dough, sauce and cheese. Pictures of 12 pizza toppings, such as arugula, bacon, broccoli, corn, basil, mushrooms and olives, were also added to the dataset for the AI to choose from.

In other words, PizzaGan is shown an image of a pizza, and it first identifies the toppings and then breaks the image down into an...
(Excerpt) Read more at: CNET
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