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1303 points serjester | 1 comments | | HN request time: 0.728s | source
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rjcrystal ◴[] No.42958773[source]
I work in healthcare domain, We've had great success converting printed lab reports (95%) to Json format using 1.5-Flash model. This post is really exciting for me. will definitely try out 2.0 models.

The struggle which almost every ocr usecase faces is with handwritten documents(doctor prescriptions with bad handwriting) With gemini 1.5 flash we've had ~75-80% percent accuracy (based on random sampling by pharmacists). we're planning to improve this further by fine-tuning gemini models with medical data.

What could be other alternative services/models for accurate handwriting ocr?

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Havoc ◴[] No.42960899[source]
How on earth is anyone ok with 75% accuracy in prescriptions context?!? Or medical anything

That’s literally insane

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1. knowaveragejoe ◴[] No.42966692[source]
Nobody said they're okay with it, nor did they describe what they use the data for.