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Shreeshrii 2018-02-21 14:16:38 +05:30 committed by GitHub
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@ -15,6 +15,10 @@ The repository contains two types of models,
Most of the script models include English training data as well as the script, but not **Cyrillic**, as that would have a major ambiguity problem.
On Linux, the language based traineddata packages are named `tesseract-ocr-LANG` where LANG is the three letter language code eg. tesseract-ocr-eng (English language), tesseract-ocr-hin (Hindi language), etc.
On Linux, the script based traineddata packages are named `tesseract-ocr-script-SCRIPT` where SCRIPT is the four letter script code eg. tesseract-ocr-script-latn (Latin Script), tesseract-ocr-script-deva (Devanagari Script), etc.
### Data files for a particular script
Initial capitals in the filename indicate the one model for all languages in that script.
@ -44,6 +48,8 @@ With a theory that poor accuracy on test data and over-fitting on training data
'jpn' loads 'jpn_vert' as a secondary language so it can try it in case the text is rendered vertically. This seems to work most of the time as a reasonable solution.
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See the [Tesseract wiki](https://github.com/tesseract-ocr/tesseract/wiki/Data-Files) for additional information.
All data in the repository are licensed under the