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The big companies, particularly google, already uses state of the art techniques. Additionally, OCR has long been a topic study in academia. I think it's unlike
by tensor 9y ago
The big companies, particularly google, already uses state of the art techniques. Additionally, OCR has long been a topic study in academia. I think it's unlikely that we'll see any major "disruption" in this industry. Improvements will likely continue to come from the usual suspects.
- mohi13 9y agothe really sad being that with all the talks of AI taking over humanity a seemingly a simple task of reading printed text is so far behind..seems ML/AI has many years to really make big leaps.
- paganel 9y agoAutomatic translation has also already reached the low-hanging statistical fruit, meaning it has been stuck at 70-80% performance/accuracy for the last couple of years (i.e. you can use it to get a general idea of what a text written in a foreign language might mean, but you can't use it for day-to-day language interactions without sounding unprofessional or even stupid).
- gajju3588 9y agoIt always seems like this before the big dawn. Rev-share is a decently big carrot. ;-)
- m_ke 9y agoYou can beat all of the general OCR solutions by training a model for a specific use case.