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| === Offline mode === | | === Offline mode === |
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− | * A small version of the database needs to be included in the app (at install, and then synched regularly) | + | * A small version of the database needs to be included in the app (at install, and then synced regularly) |
| ** All products, but only key data | | ** All products, but only key data |
| * When scanning products, key data should be shown instantly, even if there's no network | | * When scanning products, key data should be shown instantly, even if there's no network |
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| == Data science == | | == Data science == |
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− | Why it's important: our product database is growing rapidly (10k new products every Month in early 2019), we need automated ways to extract and validate data | + | Why it's important: our product database is growing rapidly (730k products, with 10k new products every month in early 2019), we need automated ways to extract and validate data |
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− | Background: to date, we have done very little in this area | + | Background: We have started in the past year to ramp up effort, and we have processed 1,5 million images with OCR and general entity, barcode and QR-code recognition. The result is 1,5 million matching JSON files with bounding boxes. |
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| === Automatically classify products === | | === Automatically classify products === |
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| * We currently have performance issues with MongoDB requests that could be optimized | | * We currently have performance issues with MongoDB requests that could be optimized |
| * There are many other areas for improvements for the backend, see https://github.com/openfoodfacts/openfoodfacts-server | | * There are many other areas for improvements for the backend, see https://github.com/openfoodfacts/openfoodfacts-server |
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| == 2018- 2017 Project ideas == | | == 2018- 2017 Project ideas == |