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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. 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 ### Data files for a particular script
Initial capitals in the filename indicate the one model for all languages in that 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. '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. 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 All data in the repository are licensed under the