Machine Learning Times
Machine Learning Times
EXCLUSIVE HIGHLIGHTS
Podcast: Four Things the Machine Learning Industry Must Learn from Self-Driving Cars
    Welcome to the next episode of The Machine...
A Refresher on Continuous Versus Discrete Input Variables
 How many times have I heard that the most...
Podcast: Why Deep Learning Could Expedite the Next AI Winter
  Welcome to the next episode of The Machine Learning...
PAW Preview Video: Evan Wimpey, Director of Strategic Analytics at Elder Research
 In anticipation of his upcoming presentation at Deep Learning...
SHARE THIS:

3 years ago
From Foodie Pic to Your Plate: Generating Recipes With Facebook AI

 

Originally published in Synced, June 20, 2019

Imagine snapping a pic of your tasty restaurant entree or the magnificent lasagna in a foodie post, and up pops a recipe for said dish. Facebook AI has now transformed that gourmand’s fantasy into reality.

Facebook’s AI’s new “Inverse Cooking” AI system reverse-engineers recipes from food images, predicting both the ingredients in the dish and their preparation and cooking instructions. The technique improves on former ingredient prediction baselines with the large-scale Recipe1M data set; and Facebook says the recipes are more accurate than traditional retrieval-based approaches.

The image-to-recipe system recognizes individual ingredients and infers what happened to them on the way to the plate. It predicts the ingredients by extracting visual features from the input image and ingredient co-occurrences. Researchers first pretrain an image encoder and an ingredients decoder to predict ingredients, then train the system to produce dish title, preparation and cooking instructions. Prediction and model generation is the final step, where the system feeds predicted ingredients into an advanced sequence generation model to come up with a recipe.

To continue reading this article, click here.

One thought on “From Foodie Pic to Your Plate: Generating Recipes With Facebook AI

  1. Pingback: Deciphering Taste – InfoCurrents

Leave a Reply