Over a Million Recipes and Millions of Photos — Computers Learning to Find Your Meal
Imagine snapping a photo of your dinner and an app finds the recipe — sounds like magic but its real.
A giant collection of more than 1 million recipes and 13 million images gives computers lots of food to learn from, it allow them to link pictures with words about cooking.
This helps machines get better at spotting ingredients and steps even from messy photos.
Researchers taught a model to speak both picture and recipe, so it can match photos to recipes much faster than before, and in many tests it reaches nearly human accuracy.
The system even can mix ideas, like imagining a sandwich with extra cheese — a kind of simple creativity, it looks like mixing flavors in a math way, but easier to use.
All the code and data are shared, so the project is open for all and can power apps that help cooks, food lovers and curious minds.
Try thinking what this could do for dinner time, and maybe your next meal will be found by a photo.
Read article comprehensive review in Paperium.net:
Recipe1M+: A Dataset for Learning Cross-Modal Embeddings for Cooking Recipes andFood Images
🤖 This analysis and review was primarily generated and structured by an AI . The content is provided for informational and quick-review purposes.
Top comments (0)