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* good to read : https://openfoodfacts.github.io/robotoff/introduction/architecture/ | * good to read : https://openfoodfacts.github.io/robotoff/introduction/architecture/ | ||
* [https://github.com/openfoodfacts/robotoff-ann/ robotoff-ann] is a complement to robotoff that focuses on logo detection and embedding (we use nearest neighbors to classify logos) | * [https://github.com/openfoodfacts/robotoff-ann/ robotoff-ann] is a complement to robotoff that focuses on logo detection and embedding (we use nearest neighbors to classify logos) | ||
* Last training of category model (using only title and ingredients as features): https://github.com/ | * Last training of category model (using only title and ingredients as features): https://github.com/openfoodfacts/off-category-classification | ||
* All trained models are published as "releases" on https://github.com/openfoodfacts/openfoodfacts-ai | * All trained models are published as "releases" on https://github.com/openfoodfacts/openfoodfacts-ai | ||
* [https://openfoodfacts.github.io/api-documentation/ Open Food Facts API documentation] | * [https://openfoodfacts.github.io/api-documentation/ Open Food Facts API documentation] |
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