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

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

Recipe1M is 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, multi-modal data. (Javier Marin, Aritro Biswas, Ferda Ofli, Nicholas Hynes, Amaia Salvador, Yusuf Aytar, Ingmar Weber, Antonio Torralba)

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