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* Scoring des méthodes de détection de tableaux nutritionnels [https://drive.google.com/open?id=1-bo0v7eoRMtemZjcmqVzW0-0YMZaSOkB PDF] [https://drive.google.com/open?id=1KJ6H1HqHSHVBk3mWjEZZLLpcCt5whe6N docx]
 
* Scoring des méthodes de détection de tableaux nutritionnels [https://drive.google.com/open?id=1-bo0v7eoRMtemZjcmqVzW0-0YMZaSOkB PDF] [https://drive.google.com/open?id=1KJ6H1HqHSHVBk3mWjEZZLLpcCt5whe6N docx]
* Analyse approfondie sur la détection
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* Analyse approfondie sur la détection de tableaux nutritionnels [https://drive.google.com/open?id=1nPxOGFgjKaKuUcnVC0nbNAijt1al9rvo pdf]
de tableaux nutritionnels [https://drive.google.com/open?id=1nPxOGFgjKaKuUcnVC0nbNAijt1al9rvo pdf]
      
* Table extraction (V1): https://github.com/openfoodfacts/off-nutrition-table-extractor. Mainly focus on the nutritional table detection part, the extraction process remains quite simple.
 
* Table extraction (V1): https://github.com/openfoodfacts/off-nutrition-table-extractor. Mainly focus on the nutritional table detection part, the extraction process remains quite simple.
 
* Table extraction (v2): https://github.com/cgandon/openfoodfacts-nutriments
 
* Table extraction (v2): https://github.com/cgandon/openfoodfacts-nutriments
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* Work by Sadok and Yichen as part of the Microsoft ShareAI program
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** TableNet
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** GraphNet
    
= Other approaches =
 
= Other approaches =

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