How good is good do you say?
We got a pretty good results with CER at 4% and WER at 15%!
This was on a limited dataset used to test and train which most likely means that if you introduced an even larger dataset with greater variations in handwriting style for testing the numbers might be even worse.
Very simplified: A risk of a character wrong every 20th character and a word wrong every 7th word. The SER was around 20%.
There’s an reason why no one has released a good model for western letters yet and why companies pay up to 1€ for capturing data from 10 handwritten pages.
It will come but OCR isn’t as sexy as developing text2image solutions.
Unable to understand and/or admit that both sides can be bad. It’s ok to admit the “your team” did some nasty shit and it doesn’t in any way cancel out what the other “team” did.
Also, Winning an argument doesn’t in any way make you a winner. Actually, an argument that someone “won” often doesn’t lead to a change for the better or even make anyone convinced that your arguments were valid.