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Of course, but $100 per year to do the same is an even better deal. I can only assume that their support for custom requests is absolutely incredible, because

Of course, but $100 per year to do the same is an even better deal. I can only assume that their support for custom requests is absolutely incredible, because it should be pretty trivial for any potential competitor to put up a similar concept for a tenth of the price and still be making a profit. But that's always the case with enterprise software I suppose. The improvement from 98% to 100% "quality" (whatever that means) is well worth a drastic price hike for most businesses.

pjc50 5y ago
I absolutely expect this to be harder than it looks. If it was easy Google lens would do it. I had a similar shock when trying to do OCR from photos of receipts.
- yorwba 5y ago
  Google Lens isn't going to include a menu item for every single computer vision task with a simple specialized solution. OpenCV provides circle detection out of the box: https://docs.opencv.org/3.4/d4/d70/tutorial_hough_circle.html https://docs.opencv.org/3.4/d4/d70/tutorial_hough_circle.htm... The only part that's somewhat difficult is tuning the parameters correctly. I've found setting all thresholds very low (generating lots of false positives) and then culling overlap to work very well when I had to count individual atoms in electron microscopy images a few years ago.
  - pjc50 5y ago
    > The only part that's somewhat difficult is tuning the parameters correctly Well, yes, that's what the value provided by the service is. > count individual atoms in electron microscopy image This sounds very cool - what sort of order of magnitude numbers were they, and how accurate was it in the end?
mjburgess 5y ago
This was my first thought: I could do this in half a day. Then you look at their site and all the domains of application. My guess is they probably use a variety of models to get 100%: edge detection, CNN-style object detection, all sorts. And then aggregate/choose between the resulting predictions. Then they will probably have some layers of geometrical estimators. The challenge here is 100% and on a wide variety of images. They'll need to maintain and collect data across a lot of domains, and find ways of coping with non-ideal ("in the field") input.
imtringued 5y ago
https://news.ycombinator.com/item?id=27262146 https://news.ycombinator.com/item?id=27262146 Replicating that dataset will cost you $10000 just to take the photos.

pjc50 5y ago

I absolutely expect this to be harder than it looks. If it was easy Google lens would do it. I had a similar shock when trying to do OCR from photos of receipts.

yorwba 5y ago
Google Lens isn't going to include a menu item for every single computer vision task with a simple specialized solution. OpenCV provides circle detection out of the box: https://docs.opencv.org/3.4/d4/d70/tutorial_hough_circle.html https://docs.opencv.org/3.4/d4/d70/tutorial_hough_circle.htm... The only part that's somewhat difficult is tuning the parameters correctly. I've found setting all thresholds very low (generating lots of false positives) and then culling overlap to work very well when I had to count individual atoms in electron microscopy images a few years ago.
- pjc50 5y ago
  > The only part that's somewhat difficult is tuning the parameters correctly Well, yes, that's what the value provided by the service is. > count individual atoms in electron microscopy image This sounds very cool - what sort of order of magnitude numbers were they, and how accurate was it in the end?

mjburgess 5y ago

This was my first thought: I could do this in half a day. Then you look at their site and all the domains of application. My guess is they probably use a variety of models to get 100%: edge detection, CNN-style object detection, all sorts. And then aggregate/choose between the resulting predictions. Then they will probably have some layers of geometrical estimators. The challenge here is 100% and on a wide variety of images. They'll need to maintain and collect data across a lot of domains, and find ways of coping with non-ideal ("in the field") input.

imtringued 5y ago

https://news.ycombinator.com/item?id=27262146 https://news.ycombinator.com/item?id=27262146 Replicating that dataset will cost you $10000 just to take the photos.