Recipe1M+: A Dataset for Learning Cross-Modal Embeddings for Cooking Recipes and Food Images

In this paper, we introduce Recipe1M+, a new large-scale, structured corpus of over one million cooking recipes and 13 million food images. As the largest publicly available collection of recipe data, Recipe1M+ affords the ability to train high-capacity models on aligned, multimodal data. Using thes...

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Bibliographic Details
Main Authors: Marin, Javier (Author), Biswas, Aritro (Author), Ofli, Ferda (Author), Hynes, Nicholas (Author), Salvador, Amaia (Author), Aytar, Yusuf (Author), Weber, Ingmar (Author), Torralba, Antonio (Author)
Format: Article
Language:English
Published: Institute of Electrical and Electronics Engineers (IEEE), 2021-04-01T19:28:34Z.
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