We read every piece of feedback, and take your input very seriously.
To see all available qualifiers, see our documentation.
Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.
By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.
Already on GitHub? Sign in to your account
When using tesseract 4.0 with --oem 1 (LSTM) with Gujarati traineddata, ન is being recognized as ત in the attached image.
Same image when recognized with --oem 0 is recognizing ન correctly, but has other accuracy problems.
So, it looks like that LSTM model for Gujarati has not been trained with this font.
Image and ground truth file are attached.
It would be helpful to have the ability to finetune using real images in addition to synthetic data.
guj.ag.exp0-GT.txt
The text was updated successfully, but these errors were encountered:
Tested with both best/guj and best/Gujarati traineddata - psm 6 just now.
While the ન - ત Confusion is still there, Gujarati traineddata seems better than guj - it is dropping fewer words in OCR output.
Sorry, something went wrong.
tesseract-ocr/tesseract#1264
No branches or pull requests
When using tesseract 4.0 with --oem 1 (LSTM) with Gujarati traineddata, ન is being recognized as ત in the attached image.
Same image when recognized with --oem 0 is recognizing ન correctly, but has other accuracy problems.
So, it looks like that LSTM model for Gujarati has not been trained with this font.
Image and ground truth file are attached.
It would be helpful to have the ability to finetune using real images in addition to synthetic data.
guj.ag.exp0-GT.txt
The text was updated successfully, but these errors were encountered: