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What is the input to the ML algorithm? Does it know the surrounding context so that it has a chance to deduce "if this stroke is slightly longer then the end result will be idiomatic greek and latin"?
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The input is 3d chunks of reconstructed CT data from our scans. I can't remember the specifics but maybe enough voxels for .5mm^3 at a time or so? They're all available for free from https://registry.opendata.aws/vesuvius-challenge-herculaneum... . Our trained models are all available at https://huggingface.co/scrollprize
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