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423 bytes added ,  14 February 2022
(https://github.com/openfoodfacts)
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== 2022-02 ==
== 2022-02 ==


* 2022-02-11 - Taxonomies - The packaging field is now taxonomized, which means we won't have a mix of languages without knowing in which language each entry is. It is also very useful to compute the Eco-Score environmental score with more precision.
* 2022-02-11 - Taxonomies - Thanks to @Stephane's work, the packaging field is now taxonomized, which means we won't have a mix of languages without knowing in which language each entry is. It is also very useful to compute the Eco-Score environmental score with more precision.
* 2022-02-11 - Finding technical contribution opportunities - Are you a Python person ? A designer. Do your eyes shine for Ruby or are you feeling Rusty ? There's now [https://github.com/openfoodfacts a recap of all the technical projects of Open Food Facts, along with shortcuts to technical contribution opportunities.]
* 2022-02-11 - Finding technical contribution opportunities - Are you a Python person ? A designer. Do your eyes shine for Ruby or are you feeling Rusty ? Thanks to @Pierre (teolemon), There's now [https://github.com/openfoodfacts a recap of all the technical projects of Open Food Facts, along with shortcuts to technical contribution opportunities]. Feel free to propose improvements to the recap itself!
* 2022-02-07 - New robotoff version in production. ([https://github.com/openfoodfacts/robotoff/releases/tag/v1.2.0 see v1.2.0 on github]) major features include applying category found by neural network automatically if there is a high confidence and an internal refactor: splitting predictions and insights
* 2022-02-11 - SDKs (Ruby) - [https://github.com/openfoodfacts/openfoodfacts-ruby New release of our Ruby package] thanks to @nicolasleger
* 2022-02-07 - New Robotoff version in production ! ([https://github.com/openfoodfacts/robotoff/releases/tag/v1.2.0 see v1.2.0 on GitHub]): Thanks to the work of @Yana K during the fellowship, categories predicted with a very high level of confidence are now applied automatically. In addition, some foundational work by Raphael to split predictions and insights should pave the way for more detections in the future. Thanks @Alex G for the final touches and the smooth release !


== 2022-01 ==
== 2022-01 ==