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Machine learning models and "AI" are used in Open Food Facts to extract information from product images and to perform predictions, such as the product category.
 
Machine learning models and "AI" are used in Open Food Facts to extract information from product images and to perform predictions, such as the product category.
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= Projects =
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== Robotoff ==
    
[https://github.com/openfoodfacts/robotoff Robotoff] is Open Food Facts "AI" service: it takes care of calling the ML models and storing all predictions. [https://github.com/openfoodfacts/robotoff/wiki Robotoff wiki] describes in details how Robotoff works.
 
[https://github.com/openfoodfacts/robotoff Robotoff] is Open Food Facts "AI" service: it takes care of calling the ML models and storing all predictions. [https://github.com/openfoodfacts/robotoff/wiki Robotoff wiki] describes in details how Robotoff works.
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All machine learning models used in production are stored on Github as releases, in the [https://github.com/openfoodfacts/robotoff-models/releases robotoff-models] repository.
 
All machine learning models used in production are stored on Github as releases, in the [https://github.com/openfoodfacts/robotoff-models/releases robotoff-models] repository.
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Finally, a list of our AI projects (current and future) can be found on Github: [https://github.com/openfoodfacts/openfoodfacts-ai/issues openfoodfacts-ai].
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== Hunger Games ==
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== Models ==
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A list of our AI projects (current and future) can be found on Github: [https://github.com/openfoodfacts/openfoodfacts-ai/issues openfoodfacts-ai].
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=== Category prediction ===
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=== Logo detection ===
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=== Nutrition facts table data extraction ===
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The [[Nutrition facts table data extraction]] project aims to automatically extract the nutrition facts values from photos of nutrition facts table.
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=== Ingredients spellchecking and correction ===
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== How to contribute? ==
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= How to contribute? =
    
There are many ways to help:
 
There are many ways to help:

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