adding kha.traineddata#5
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the standard khasi literature which has low to moderate diacrities can be recognised with eng.traineddata. Though accuracy in text with high diacrities(khasi dictionaries) using any lang.traineddata is low compared to latin.traineddata(best). Hence kha.traineddata is created by layertraining.
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@zdenop @stweil @Shreeshrii can you check this, please. |
Contributor
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Can you please update PR so it follows structure as https://github.com/tesseract-ocr/tessdata_contrib/tree/main/grc_hist? |
Member
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We also need documentation how the model was created to allow future updates with improved releases. |
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the standard khasi literature which has low to moderate diacrities can be recognised with eng.traineddata. Though accuracy in text with high diacrities(khasi dictionaries) using any lang.traineddata is low compared to latin.traineddata(best). Hence kha.traineddata is created by layertraining.
original repo - https://github.com/udaycruise2903/khasi-ocr/tree/main
test reports are in - https://github.com/udaycruise2903/khasi-ocr/wiki/khasi-ocr
image tests - https://github.com/udaycruise2903/imgtestsets-kha