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One nice thing would be Robotoff writing a data quality tag whenever the detected values and the actual values don't match (typically outdated images where the contributor hasn't updated the values.)
We could then flag false positives using Nutri-Patrol
Problem
A LayoutLMv3 model was fined-tuned on the nutrition extraction dataset: https://huggingface.co/openfoodfacts/nutrition-extractor.
Integrate it in production, by:
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