I don't think you need training to improve results.
You need to pre-process the image, straighten it. Use a separate tool to
identify each cell of data and then OCR that. You will get best results
like that.
On Mon, Jun 17, 2019 at 6:07 PM phucp...@gmail.com
wrote:
> Thanks shree for your reply
Thanks shree for your reply. I see that you are very busy to answer a lot
of questions here. Thanks again for taking some time for me
>
> Your files have prefix of jpn, so I assume you are training for Japanese,
> but the image in question has only numbers in it.
>
Well I forgot to mention, my mode
Your files have prefix of jpn, so I assume you are training for Japanese,
but the image in question has only numbers in it.
Getting good results on eval data but bad results on OCR could be the
result of overfitting the model, if you have used a small sample and
trained for large number of iter
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