I've tried to reproduce the reported results for ICDAR 2013 and ICDAR 2015.
Using the weights you've shared, I get .7 F1 on ICDAR 2013 E2E. In the paper you reported .77.
I am not using the 90K dictionary for the recogntion.
Is this drop in performance expected? Are the weights you have shared tuned to some other dataset?
Hi John,
this is expected: we shared tiny version of network, which can run real-time on laptops. Full back-bone yolo2 network will increase the numbers.
Hi,
Thanks for the code.
I've tried to reproduce the reported results for ICDAR 2013 and ICDAR 2015.
Using the weights you've shared, I get .7 F1 on ICDAR 2013 E2E. In the paper you reported .77. I am not using the 90K dictionary for the recogntion. Is this drop in performance expected? Are the weights you have shared tuned to some other dataset?
Regards, John