2015-03-13 04:18:03 -0600 | received badge | ● Student (source) |
2015-03-13 03:35:07 -0600 | asked a question | Generating good training data for haar cascades I am trying to build haar cascades for doing OCR of a specific font; one classifier per character. I can generate tons of training data just by drawing the font onto images. So, the plan is to generate positive training data for each character, and use the examples of other characters as negative training data (let me know if this is a dumb idea, please) I am wondering how much variation I should put into the training data. Normally I'd just try everything, but I gather these things take days to train (for each character!) so some advice would be good. So, a few questions:
Thanks! P.S. This question is also on StackOverflow. Apologies for cross-posting. |