How to split an image datastore for cross-validation?

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Elena Ranguelova
Elena Ranguelova 2017-2-10
评论： Sajja Tulasi Krishna 2021-2-22
Hello,
The method
splitEachLabel
of an
imageDatastore
object splits an image data store into proportions per category label. How can one split an image data store for training using cross-validation and using the
trainImageCategoryCalssifier
class?
I.e. it's easy to split it in N partitions, but then some sort of mergeEachLabel functionality is needed to be able to train a classifier using cross-validation. Or is there another way of achieving that?
Regards, Elena
  2 个评论
kowshik Thopalli
kowshik Thopalli 2017-2-26
I am looking for an answer to a similar problem. Did you solve it?
Tripoli Settou
Tripoli Settou 2018-4-19
I am also looking for an answer to a similar problem. Did you solve it?

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Hamza Mehboob
Hamza Mehboob 2018-7-27
[imd1 imd2 imd3 imd4 imd5 imd6 imd7 imd8 imd9 imd10] = splitEachLabel(imds,0.1,0.1,0.1,0.1,0.1,0.1,0.1,0.1,0.1,'randomize');
partStores{1} = imd1.Files ;
partStores{2} = imd2.Files ;
partStores{3} = imd3.Files ;
partStores{4} = imd4.Files ;
partStores{5} = imd5.Files ;
partStores{6} = imd6.Files ;
partStores{7} = imd7.Files ;
partStores{8} = imd8.Files ;
partStores{9} = imd9.Files ;
partStores{10} = imd10.Files;
for i = 1 :k
i
test_idx = (idx == i);
train_idx = ~test_idx;
imdsTest = imageDatastore(partStores{test_idx}, 'IncludeSubfolders', true,'FileExtensions','.jpeg', 'LabelSource', 'foldernames');
imdsTrain = imageDatastore(cat(1, partStores{train_idx}), 'IncludeSubfolders', true,'FileExtensions','.jpeg', 'LabelSource', 'foldernames');
%%%%%%%%%%%%%%%%%%%%%%%%%
%%%%%%%%%%%%%%%%%%%%%%%%%
%%%%%%%%%%%%%%%%%%%%%%%%%
%%%%%Write your classification task
%%%%hamzamehboob103@gmail.com for any further help.
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
}
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