Problem with evaluate(imagecategoryclassifier) function from Vision System tool box
Ältere Kommentare anzeigen
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.
Akzeptierte Antwort
Weitere Antworten (0)
Kategorien
Mehr zu Image Category Classification finden Sie in Hilfe-Center und File Exchange
Produkte
Community Treasure Hunt
Find the treasures in MATLAB Central and discover how the community can help you!
Start Hunting!