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Should you rely on public OCR benchmark scores to choose a model?
Vik Paruchuri argues that scoring flaws can penalize correct OCR results and hide important differences between models.
TLDR
Datalab founder Vik Paruchuri argues against relying on overall public OCR benchmark scores when choosing a model. A post describing his talk cites a test that penalizes a correctly preserved line break and a six-model ranking in which the last-place model beats the top-ranked one on content and tables. Paruchuri also discusses testing models on your own documents.
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