Problem with evaluate(i​magecatego​ryclassifi​er) function from Vision System tool box

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Hello Matlab communtiy, I have a quich question to the evaluate(imagecategoryclassifier) function in matlab. I tried the given sample code, but it seems to missmatch some predicted labels considering the calculated scores. In the help it states that the predicted label corresponds to the highest value given by the score. After I run the example multiple times, it seemed to missmatch at least two labels. Here is the code I ran and the output it produced:
setDir = fullfile(toolboxdir('vision'),'visiondata','imageSets'); imgSets = imageSet(setDir, 'recursive');
[trainingSets, testSets] = partition(imgSets, 0.3, 'randomize');
bag = bagOfFeatures(trainingSets,'Verbose',false);
categoryClassifier = trainImageCategoryClassifier(trainingSets, bag);
[confMat,knownLabelIdx,predictedLabelIdx,score] = evaluate(categoryClassifier, testSets);
disp(score); disp(predictedLabelIdx);
-0.6226 -0.3774
-0.6509 -0.3491
-0.4416 -0.5584
-0.4953 -0.5047
-0.6226 -0.3774
-0.6509 -0.3491
-0.4416 -0.5584
-0.4953 -0.5047
2
1
1
1
2
2
1
1
So here I don't understand why the second predicted label is 1 and not 2. The rest makes sense to me.

Respuesta aceptada

Birju Patel
Birju Patel el 30 de Sept. de 2015
Editada: Birju Patel el 26 de Oct. de 2015
Hi Jacob,
Thanks for reporting this issue. This is a bug. The predicted labels are correct, but the scores are not.
I can create a patched version for you. What release are you using?
EDIT: patched version for 15a attached. You'll need to put the patched version of the file here:
$MATLAB_ROOT/toolbox/vision/vision/
Also added patched version for 15b, which has _15b appended to it (imageCategoryClassifier_15b.m). You'll need to download this file and remove the "_15b" from the file name before copying it over to the toolbox directory.
Birju
  1 comentario
Jacob Koerber
Jacob Koerber el 2 de Oct. de 2015
Editada: Jacob Koerber el 2 de Oct. de 2015
Hello Birju,
thanks for responding to my question. I would love to have a patched version of this function, for further work on my bachelors thesis. The version I am using is 8.5.0.197613 (R2015a)
Regards Jacob

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