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Deep Learning Image Classifier

deeplearning.cs.toronto.edu

31–33 of 33 posts

Re: Deep Learning Image Classifier

#31
post #29
post #28

It seems strange that they would include in their set of example images, a picture of the most famous mausoleum in the world, without it being tagged with mausoleum or tomb or anything like that.

And it is tagged 99% mosque, while it isn't one. (the building on the left of it, not in the image, is).

If I uploaded my own picture of the Taj Mahal and it told me it was a Mosque, I wouldn't be surprised, and I'd probably be reasonably impressed. The dome and minarets do rather give that impression, and I wouldn't really expect a computer to be able to tell the difference.

The reason I find it odd is that I would expect the first example on a demo to be carefully chosen to show off the system in the best light. It would be one that has perfect or near-perfect tagging. Maybe later on, I would show the shortcomings with a tricky image like this.

Re: Deep Learning Image Classifier

#32
post #30

There are several of these image classifiers now that someone should run an accuracy/speed/price comparison between AlchemyAPI: http://www.alchemyapi.com/products/demo/alchemyvision/ UToronto Rekognition: http://rekognition.com/demo/concept Clarifai: http://www.clarifai.com/ I'm doing it myself, but I have a conflict of interest

Well there is the ImageNet challenge http://www.image-net.org/challenges/LSVRC/2013/results.php I'm not sure if Alchemy or Rekognition maps to any of those teams though.

Re: Deep Learning Image Classifier

#33
post #30

There are several of these image classifiers now that someone should run an accuracy/speed/price comparison between AlchemyAPI: http://www.alchemyapi.com/products/demo/alchemyvision/ UToronto Rekognition: http://rekognition.com/demo/concept Clarifai: http://www.clarifai.com/ I'm doing it myself, but I have a conflict of interest

Well there is the ImageNet challenge http://www.image-net.org/challenges/LSVRC/2013/results.php I'm not sure if Alchemy or Rekognition maps to any of those teams though.

Also see https://rodrigob.github.io/are_we_there_yet/build/classifica...
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