Changes

* 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.

* 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.

* 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.

* 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.

= Projects =

= Projects =

== Robotoff ==  

== 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://openfoodfacts.github.io/robotoff/ Robotoff documentation] describes in details how Robotoff works.

 

Depending on its confidence, each prediction is either applied automatically or require a manual validation. [https://hunger.openfoodfacts.org/ Hunger Games] is our in-house validation tool.

Depending on its confidence, each prediction is either applied automatically or require a manual validation. [https://hunger.openfoodfacts.org/ Hunger Games] is our in-house validation tool.