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

IEEE transactions on pattern analysis and machine intelligence, Volume abs/1810.06553, 2019.

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Abstract:

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, multi-modal data. Using these data, we train a neural network to le...More

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