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OCR models v1 (ocrs mirror)

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@deeplabua deeplabua released this 26 Jul 13:41
· 3 commits to main since this release
models-v1
2230c05

Mirror of the Latin OCR models DeepOCR pins, so fetching them does not depend on an unversioned upstream URL.

The files are byte-for-byte the ones published at https://ocrs-models.s3-accelerate.amazonaws.com/, and match the checksums pinned in crates/core/src/models.rs:

file sha256
text-detection.rten f15cfb56bd02c4bf478a20343986504a1f01e1665c2b3a0ad66340f054b1b5ca
text-recognition.rten e484866d4cce403175bd8d00b128feb08ab42e208de30e42cd9889d8f1735a6e

This tag never moves. A new set of weights gets a new tag, so a pinned checksum stays valid forever.

Where the models come from

They are produced by robertknight/ocrs-models and are the ones the ocrs engine downloads on first run. Per that project's README they are trained exclusively on open datasets with non-restrictive licences (including HierText, CC-BY-SA 4.0).

The upstream repository does not state a licence for the model files themselves; we have asked and will record the answer here. The ocrs engine code is MIT OR Apache-2.0, as is DeepOCR.

Assets 4
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