Tesseract will make a checkpoint, if needed, every 100 iterations, so I suggest a minimum 50-100 line images to test finetuning. Also, one of your image samples has a lot of noise on the right side. Crop all extra parts. Also for `ben` you should choose the Indic language option in tesstrain.
On Sun, Oct 11, 2020 at 8:46 AM Fazle Rabbi <akafazlera...@gmail.com> wrote: > i did the process manually for 5-6 images. i attached some samples of the > line images and ground truth. > then i ran >> make training MODEL_NAME=<model name> START_MODEL=ben > TESSDATA=<path to tessdata_best> > the resulting <model name>.traineddata file seem to not have any > connection with the original 'ben' file. the ocr produces unreadable text. > > > > -- > You received this message because you are subscribed to the Google Groups > "tesseract-ocr" group. > To unsubscribe from this group and stop receiving emails from it, send an > email to tesseract-ocr+unsubscr...@googlegroups.com. > To view this discussion on the web visit > https://groups.google.com/d/msgid/tesseract-ocr/97bea964-2fb6-4a99-85e9-738aa69427b8n%40googlegroups.com > <https://groups.google.com/d/msgid/tesseract-ocr/97bea964-2fb6-4a99-85e9-738aa69427b8n%40googlegroups.com?utm_medium=email&utm_source=footer> > . > -- ____________________________________________________________ भजन - कीर्तन - आरती @ http://bhajans.ramparivar.com -- You received this message because you are subscribed to the Google Groups "tesseract-ocr" group. To unsubscribe from this group and stop receiving emails from it, send an email to tesseract-ocr+unsubscr...@googlegroups.com. To view this discussion on the web visit https://groups.google.com/d/msgid/tesseract-ocr/CAG2NduWk-9jNMpe2XrOwC%2BHqBke01DN5BdMcjbK-bgjWnuXKHA%40mail.gmail.com.
