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[[Category:Artificial Intelligence]]
 
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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= Principles =
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* AI is there to help accelerate our transparency mission by augmenting Open Food Facts contributors, letting them focus on value-added tasks and increasing their personal impact.
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* We can use AI and non-AI techniques together and blend them, so that when one of the technique fails for some reason, the other one can save the day.
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* Even if a model does not have perfect results, at Open Food Facts scale, it might save contribution time and increase food transparency. Furthermore, it's possible to leverage the community to validate guesses and improve the models over time.
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= Projects =
 
= Projects =
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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].
 
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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=== Nutri-Score prediction ===
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Our classic model that's able to predict the letter of the Nutri-Score on the packaging is soon to be obsoleted by our more generic logo detection model.
    
=== Category prediction ===
 
=== Category prediction ===
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=== Logo detection ===
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=== Logos and labels detection ===
    
=== Nutrition facts table data extraction ===
 
=== Nutrition facts table data extraction ===

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