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PostPosted: Sun Nov 15, 2015 10:24 pm 
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Location: Lexington, Kentucky
I'm working on an image recognition program that can classify yearling photos using a convoluted neural network. Here is the first go at it for all to take a look at.
[url]
https://www.metamind.io/classifiers/40114[/url]

All you have to do is either upload an image of a yearling in a standard pose or a link of the same.

It is a binary outcome so while it gives a percentage chance of being either elite or non-elite it will select one over the other. It isnt that well tuned as its accuracy is just a little over 70% but that is a result of sample size. You'd really like it to train on at least 1000 images which I will get to. I also need to add more images from North America as most are off Australian/NZ sales company sites. If anyone is interested here is the background of CNN's https://en.wikipedia.org/wiki/Convolutional_neural_network

Feedback most appreciated.

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Byron Rogers
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Keen Ice...Verrazano...Fontiton...Divisidero...Breaking Lucky...Hoss Amor...


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PostPosted: Mon Nov 16, 2015 5:38 pm 
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It likes my yearling and his informal pose.
Elite Racehorse 53%
Non Elite Racehorse 46%


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PostPosted: Mon Nov 23, 2015 6:02 pm 
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The model increases accuracy if you select the button next to the class (elite or not elite) that the horse actually is.

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Byron Rogers
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Keen Ice...Verrazano...Fontiton...Divisidero...Breaking Lucky...Hoss Amor...


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PostPosted: Wed Nov 25, 2015 10:52 am 
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I uploaded three pictures of him. The first one gives the same % mentioned above, even when I check non-elite. The second picture is him but he's standing ever so slightly different, head held a tad higher, not to mention he's got his mouth partially open and then it swings to 72% non and 27 elite. The third one which from the other side is 64 E, 35 N with the N checked. I then uploaded one of my mare and it was 65/35 e vs n so while the mare and the offspring are attractive they aren't elite.


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PostPosted: Fri Nov 27, 2015 8:01 am 
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It suffers a little through lack of sample size. The 500 or so just isnt enough but I am working on a larger and more accurate model that uses close to 10,000 images to learn on. That should be more accurate and more adaptable to horses not standing in a traditional pose.

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Byron Rogers
Performance Genetics
http://performancegenetics.com
Keen Ice...Verrazano...Fontiton...Divisidero...Breaking Lucky...Hoss Amor...


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PostPosted: Sat Dec 26, 2015 6:54 pm 
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cool stuff Byron

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PostPosted: Wed Jan 13, 2016 10:26 am 
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sent a pm awaiting response

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