Learning Cross-Modal Embeddings for Cooking Recipes and Food Images

Learning Cross-Modal Embeddings for Cooking Recipes and Food Images

In this paper, we introduce Recipe1M, a new large-scale, structured corpus of over 1m cooking recipes and 800k food images. As the largest publicly available collection of recipe data, Recipe1M affords the ability to train high-capacity models on aligned, multi-modal data. Using these data, we train...

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Bibliographic Details
Main Authors: Salvador, Amaia, Hynes, Nicholas, Aytar, Yusuf, Marin, Javier, Ofli, Ferda, Weber, Ingmar, Torralba, Antonio
Other Authors: Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
Format: Article
Language:English
Published: Institute of Electrical and Electronics Engineers (IEEE) 2019
Online Access:https://hdl.handle.net/1721.1/122660

Internet

https://hdl.handle.net/1721.1/122660

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