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license: cc |
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task_categories: |
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- image-classification |
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- feature-extraction |
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- zero-shot-classification |
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size_categories: |
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- 1K<n<10K |
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--- |
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# Food Nutrients: A Macronutrients Dataset |
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`food_nutrients` is a dataset of visual and nutritional data for ~3k realistic plates of food captured from Google cafeterias using a custom scanning rig. |
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This dataset provides annotated pictures of food plates along with **calories**, **macronutrients** (fat, carbohydrate, protein) for the total plate and **for every ingredient** as well. |
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| Column | Definition | |
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|------------------|----------------------------------------------------------------------------------------------------------------| |
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| `image` | a 640x640 top-down image from a realistic food plate in the Google cafeteria | |
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| `id` | identifier of the sample | |
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| `split` | the split of the sample, only `test` for now | |
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| `ingredients` | a list of the different ingredients, with the mass (`grams`), `calories`, `fat`, `carb`, `protein` and `name`. | |
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| `total_mass` | total calories of the plate | |
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| `total_calories` | the total mass of the food on the plate | |
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| `total_fat` | the total fat on the plate | |
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| `total_carb` | total carbohydrates on the plate | |
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| `total_protein` | total protein on the plate | |
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## Source |
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This data was taken from Google Research's dataset [Nutrition5k](https://github.com/google-research-datasets/Nutrition5k). It's cleaned up and filtered, because this dataset had many issues such as missing images or missing calorie information for certain samples. That's why this dataset is a bit smaller than 5k samples. |
