Line 21: |
Line 21: |
| * [https://github.com/openfoodfacts/openfoodfacts-ai/blob/master/data-sets.md#nutrition-tables-cropping-and-nutrition-facts-extraction https://github.com/openfoodfacts/openfoodfacts-ai/blob/master/data-sets.md] | | * [https://github.com/openfoodfacts/openfoodfacts-ai/blob/master/data-sets.md#nutrition-tables-cropping-and-nutrition-facts-extraction https://github.com/openfoodfacts/openfoodfacts-ai/blob/master/data-sets.md] |
| | | |
− | = How the model fits in the OFF infrastructure = | + | = How the model fits in the Open Food Facts infrastructure = |
| | | |
| [[File:Nutrition Facts extraction flow.svg]] | | [[File:Nutrition Facts extraction flow.svg]] |
Line 41: |
Line 41: |
| | | |
| * 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 | + | * 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 |
| + | * Work by Sadok and Yichen as part of the Microsoft ShareAI program |
| + | ** TableNet |
| + | ** GraphNet |
| | | |
| = Other approaches = | | = Other approaches = |
Line 109: |
Line 111: |
| ** Step 2: Download Lobe - For Mac: https://aka.ms/DownloadLobeMac - For PC: https://aka.ms/DownloadLobeWindows | | ** Step 2: Download Lobe - For Mac: https://aka.ms/DownloadLobeMac - For PC: https://aka.ms/DownloadLobeWindows |
| * [https://flow.microsoft.com/en-us/ai-builder/ AI Builder] - import your photos right away into a Power App (or a Power Automate flow) so you can use the output in any real world application. | | * [https://flow.microsoft.com/en-us/ai-builder/ AI Builder] - import your photos right away into a Power App (or a Power Automate flow) so you can use the output in any real world application. |
| + | |
| + | = Quality metrics = |
| + | * [https://docs.google.com/document/d/1sJNZOq2Gs6gnNSCV2hPlnl4-3Z_SdQFQuorqoRw1cjA/edit Quality Metrics & Golden sets] |