Re: [tesseract-ocr] accuracy problem after trained in fine-tune

ok, I will try as you said. one more thing, what's the role of the trained_text lines will be? I have seen Bengali text are long words of lines. so I wanna know how many words or characters will be the better choice for the train? and '--xsize=3600','--ysize=350', will be according to words of

Re: [tesseract-ocr] accuracy problem after trained in fine-tune

Include the default fonts also in your fine-tuning list of fonts and see if that helps. On Wed, Aug 9, 2023, 2:27 PM Ali hussain wrote: > I have trained some new fonts by fine-tune methods for the Bengali > language in Tesseract 5 and I have used all official trained_text and > tessdata_best and

[tesseract-ocr] accuracy problem after trained in fine-tune

I have trained some new fonts by fine-tune methods for the Bengali language in Tesseract 5 and I have used all official trained_text and tessdata_best and other things also. everything is good but the problem is the default font which was trained before that does not convert text like prev but

[tesseract-ocr] Re: the unexpected result after trained data

and one more thing I have used langdata_best. On Wednesday, 9 August, 2023 at 11:39:21 pm UTC+6 Ali hussain wrote: > I have trained some new fonts by fine-tune methods for the Bengali > language in Tesseract 5 and I have used all official trained_text and other > things also. everything is good

[tesseract-ocr] the unexpected result after trained data

I have trained some new fonts by fine-tune methods for the Bengali language in Tesseract 5 and I have used all official trained_text and other things also. everything is good but the problem is the default font which was trained before that does not convert text like prev but my new fonts work