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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. | ||
= Projects = | |||
== 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. | ||
== Hunger Games == | |||
== Models == | |||
A list of our AI projects (current and future) can be found on Github: [https://github.com/openfoodfacts/openfoodfacts-ai/issues openfoodfacts-ai]. | |||
=== Category prediction === | |||
=== Logo detection === | |||
=== Nutrition facts table data extraction === | |||
The [[Nutrition facts table data extraction]] project aims to automatically extract the nutrition facts values from photos of nutrition facts table. | |||
=== Ingredients spellchecking and correction === | |||
= How to contribute? = | |||
There are many ways to help: | There are many ways to help: |