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Opencv does have support SVM accuracy?

asked 2017-10-25 01:55:34 -0600

vbc gravatar image

updated 2019-12-09 07:46:12 -0600

ojesus gravatar image

I had using opencv 3.3 to developed App Motobike plate recognition on C++. I'd using over 600 image to train. Then i used 300 other image for testing training data. How does i can find the result accuracy of testing from svm? Or how i can find any character detect not correct without manual?

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what are you doing there, exactly ? are you trying to read the letters (or only - plate or not) ? do you have any "ground truth" data for your test set ?

berak gravatar imageberak ( 2017-10-25 02:06:30 -0600 )edit
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You need manually labelling each image (ground truth or not + exact characters in ground truth) in order to compare SVM plate recognition testing results combined with OCR recognition to your own manual labels

carton99 gravatar imagecarton99 ( 2017-10-25 02:48:41 -0600 )edit

@berak: im trying read letters on plate. im using plate image from phone camera

@carton99: your mean that SVM cant show accuracy without label. Each image to checking dont have percent accuracy if we don't set label before?

vbc gravatar imagevbc ( 2017-10-25 04:40:45 -0600 )edit
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@vbc: if you want evaluate your method you need to have label for your testing group image.

Nevertheless, I think you mix with the heuristic given in output by the SVM which give a value on a probability to belonging to your objet (plate).

carton99 gravatar imagecarton99 ( 2017-10-25 06:24:05 -0600 )edit

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answered 2017-10-27 07:34:02 -0600

vbc gravatar image

I found the answer here http://answers.opencv.org/question/60... Thanks you for you support @carton99

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Asked: 2017-10-25 01:55:34 -0600

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Last updated: Oct 27 '17