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Spliting ground truth data into 70% training, 20% validation and 10% Testingdata

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Abdussalam Elhanashi
Abdussalam Elhanashi on 21 May 2020
Hi guys
i am looking for spliting data from ground truth file for following code
70% training, 20% validation and 10% Testingdata
load('gTruth.mat')
Fruits = selectLabels(gTruth,{'orange','Apple'});
if isfolder(fullfile('ExperimentData'))
cd ExperimentData
else
mkdir ExperimentData
end
addpath('ExperimentData');
splitFolder = true;
if splitFolder
valFolderName = "ExperimentData";
files = dir(fullfile(valFolderName));
N = length(files);
tf=randperm(N)>(0.20*N);
mkdir TrainingData;
mkdir ValidationData;
mkdir TestingData;
for i=3:length(tf)
files_re = files(i).name;
if tf(i) == 3
copyfile (fullfile(valFolderName,files_re),'TrainingData')
else
copyfile (fullfile(valFolderName,files_re),'Validation')
ifelse
copyfile (fullfile(valFolderName,files_re),'TestingData')
end
end
end

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