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> ... it takes years to collect the training data required for successful commercial LPR, both for NN and non-NN methods (as you need regression tests even if y
by Reelin 8y ago
> ... it takes years to collect the training data required for successful commercial LPR, both for NN and non-NN methods (as you need regression tests even if you don't need it for training), to get plates from all seasons and weathers and vehicle conditions.
I suspect this won't be the case for much longer (or perhaps already isn't). It seems successful generalization from simulated environments is within reach.
https://blog.openai.com/generalizing-from-simulation/ https://blog.openai.com/generalizing-from-simulation/
- whoisthisguy 8y agoSince license plates are "simple" (unlike photos of faces for example), training data can be generated. Similarly how Dropbox developed their OCR system based on NN.
- l33tman 8y agoYeah that would certainly be interesting. At least it would work to expand a dataset. I guess the tricky part is to realize at all that some problem cases can appear though, and code them into the simulation.. for example, the bumper-bent license plates someone wrote about further down :)