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Nutrition facts table data extraction (view source)
Revision as of 10:35, 19 June 2020
, 10:35, 19 June 2020no edit summary
Extracting nutritional facts from images would allow to fill values when nutritional facts are missing and to check values filled by users.
Extracting nutritional facts from images would allow to fill values when nutritional facts are missing and to check values filled by users.
== Why it's very important ==
* We need nutrition facts to compute nutritional quality with the Nutri-Score
* It takes 2 minutes per product to type in nutrition values, a process that is also tedious and error-prone
** 1M products x 2 minutes = 10 years of work full time without week-ends or vacations
* Being able to add complete data for a product quickly is key to attain a critical mass of products in new countries
* [https://docs.google.com/presentation/d/1GQ5wBRtu48GJCEg6Ir4BddNnPqS7Ui3kmeCZ_TaRBi8/edit#slide=id.g70e2e194c1_2_97 Presentation of the problem in French (for Share AI project)]
* [https://docs.google.com/presentation/d/1GQ5wBRtu48GJCEg6Ir4BddNnPqS7Ui3kmeCZ_TaRBi8/edit#slide=id.g70e2e194c1_2_97 Presentation of the problem in French (for Share AI project)]