Dear Tesseract Community,

I am a computer vision scientist working on using Tesseract and some 
computer vision algorithms to help blind/aging people with text/object 
recognition. I have playing around with Tesseract for the past few months 
and I am interested in understanding a bit more on how Tesseract is really 
trained.

Can anyone help me with the following questions?

   1. Can anyone tell me more about the classifiers that Tesseract uses?
   2. I've read the page on Training Tesseract and want to know specifics 
   of the dataset on which the default (svn head english version) is trained on

Thanks,
Mayur

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