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Google Cloud Vision API enters Beta

googlecloudplatform.blogspot.com

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Re: Google Cloud Vision API enters Beta

#52
post #13
post #5

Earlier quoted context omitted.

There actually are other APIs, though with a smaller scope. For text extraction for example there is the OnDemand Api, https://dev.havenondemand.com/apis/ocrdocument#overview , backed by HP. They also have logo detection. I'd be surprised if no replacement for the category detection exists. Though I admit I also hesitate to replace that API with the google offering for the one app where I actually use it. The results…

There's also this API by Microsoft Research. https://www.projectoxford.ai/

I will throw ours into the ring as well.

If you need to understand emotional reaction on video sources, our API can fill in the gaps not currently filled by Google's Cloud Vision API: https://www.kairos.com/emotion-analysis-api

Disclosure: I'm CTO of Kairos.com

Re: Google Cloud Vision API enters Beta

#53
post #38
post #23

I don't know for certain, but I suspect that Google utilized images from the web in training this system. Even if they didn't, suppose they had. I think this can raise an interesting question around copyright. In training an AI system with hundreds/thousands of bits of data, no single piece of training data makes much of a difference. If one of my images on the web that I had captioned with the keyword 'dog' was used…

By using this API, we're effectively training Google's system to be more and more accurate. Shouldn't Google pay us for using it? Just saying :-)

Good point!

Re: Google Cloud Vision API enters Beta

#54
post #3

I feel like this is some really compelling tech. It would be so amazing to build stuff with this in mind. I wouldn't be comfortable doing it, though. This sort of API is available only until Google decide that they don't want it to be available. There's not really anything close to equivalent that you could drop in to replace it if it were being shut down, the price were being hiked, or you had some sort of other iss…

What about Clarifai.com ?

Re: Google Cloud Vision API enters Beta

#55
post #38
post #23

I don't know for certain, but I suspect that Google utilized images from the web in training this system. Even if they didn't, suppose they had. I think this can raise an interesting question around copyright. In training an AI system with hundreds/thousands of bits of data, no single piece of training data makes much of a difference. If one of my images on the web that I had captioned with the keyword 'dog' was used…

By using this API, we're effectively training Google's system to be more and more accurate. Shouldn't Google pay us for using it? Just saying :-)

Not quite. The terms and conditions say that you own the IP and that it isn't used beyond providing the immediate service, meaning they aren't using it to train future models.

Besides, it's a call without any feedback, so it's not that valuable as far as training goes.

Re: Google Cloud Vision API enters Beta

#56
post #28

If the OCR is good then they're totally burying the lede, it's pricing is 100x cheaper than commercial OCR APIs. It's potentially a game changer, plenty of industries have piles of scanned documents. Cheap OCR means this data suddenly becomes accessible even if the value per individual document is low (i.e. for input into machine learning).

Paper from a few years ago comparing Google's OCR system to commercially available benchmarks:

http://www.educatingsilicon.com/wp-content/uploads/2013/10/p...

A lot better for text in photographs. Comparison might be different on dense document text though.

Re: Google Cloud Vision API enters Beta

#57
post #3

I feel like this is some really compelling tech. It would be so amazing to build stuff with this in mind. I wouldn't be comfortable doing it, though. This sort of API is available only until Google decide that they don't want it to be available. There's not really anything close to equivalent that you could drop in to replace it if it were being shut down, the price were being hiked, or you had some sort of other iss…

TensorFlow + TensorFlow Serving + Google ReCeption model plus optionally a SVN on ReCeption features for your custom detection. All that code and the pretrained model is Open Source. There's some engineering to glue it together and some extra work for the easier, non-image classification parts.

There is also http://www.deepdetect.com

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