Hello! I’m thinking about building a licence plate reader and I’m trying to decide what it would be the best approach:
1 - Use deepstack to detect licence plate and then pass that image to some text recognition like Tesseract.
2 - Train a deepstack model to detect licence plates and also to detect letters inside of it.
Option 2 would be a lot slower to develop, but I’m looking for the best accuracy possible.
What would be the best approach for you guys and why?
I hope I’m not asking in the wrong place because this isn’t about deepstack itself. If anyone knows a more appropriate forum to ask this kind of questions, please let me know.