Explicitly split the imagedataset into training and testing set

I having dataset contains 1800 images in 10 subfolders. Each subfolder contain 180images.

I want to split my dataset into Train and Test. I want 10th,20th, 30th, ...., 180th images in each subfolder as test set. Remaining as training set.

After that i have to split my Train set into 3 part (XTrain1, XTrain2, XTrain3).

This is the code i have used:

imagefolder = 'C:\Users\manjurama\Desktop\study\PG\PROJECT\Finger vein database multiple copy\database_10';

imds = imageDatastore(imagefolder,'IncludeSubfolders',true,'LabelSource','foldernames');

numTrainingFiles = 162;

[Train, Test] = splitEachLabel(imds,numTrainingFiles);

[XTrain11, XTrain21, XTrain31] = splitEachLabel(imds, 0.333, 0.333, 0.333);

XTrain1 = augmentedImageDatastore([227 227],XTrain11);

XTrain2 = augmentedImageDatastore([227 227],XTrain21);

XTrain3 = augmentedImageDatastore([227 227],XTrain31);

But i wont work

Also i need to find the class information.

I used following code. But it wont work

classes = XTrain1.Labels; % retrieve the class information

numClasses = numel(classes);

Kindly help to do the above task. Thanks in advance.