Quote:
Originally Posted by Jeff P
I'll play. (At least the physical condition/horse physicality part.)
There are sharp people who have developed the ability to recognize fit and ready horses.
They know it when they see it. And it can be a difference maker.
If human beings can learn to do it: AI can learn to do it faster and with fewer mistakes.
Enter image recognition software.
Imagine a team of players, who among other things, record thousands of hours of track video - horses in the paddock, post parades, pre-race warmups, and gate loads, etc. while saving the video in digital format to a hard drive.
From there, have AI train on the individual frames of the video - comparing visible attributes for tens of thousands of horses against odds and finish position.
It's absolutely doable.
Don't assume for a second it isn't being worked on.
-jp
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I think the recording of the video part of it for each horse (like so many other good inputs that I keep harping on as being necessary) is what will prove to be elusive. Again I wouldn't underestimate what the computer can do when spoon fed good inputs. The problem with racing data which has always been the case is the value-added pieces aren't readily available in any consumable format, only the more generic information is readily available. The notion that I find entertaining is when people believe AI will generate its own good inputs. Like a world class chef can somehow cook great food with third rate ingredients. Bad meat is bad meat. As someone who has done my fair share of coding it's amusing what people think is possible in this arena.
