trained stacked auto encoders

Helo.. iam working on pothole dataset classification by using trained stacked auto encoders concept. Below i have attached the matlab code... in that code they have loaded the dataset using digitTrainCellArrayData but i want to load the pothole dataset .Could any one please help me with the code that how to load the dataset folder.

Thans in advance:)

% Load the training data into memory
[xTrainImages,tTrain] = digitTrainCellArrayData;

% Display some of the training images
clf
for i = 1:20
    subplot(4,5,i);
    imshow(xTrainImages{i});
end
rng('default')
hiddenSize1 = 100;
autoenc1 = trainAutoencoder(xTrainImages,hiddenSize1, ...
    'MaxEpochs',400, ...
    'L2WeightRegularization',0.004, ...
    'SparsityRegularization',4, ...
    'SparsityProportion',0.15, ...
    'ScaleData', false);
view(autoenc1)
figure()
plotWeights(autoenc1);
feat1 = encode(autoenc1,xTrainImages);
hiddenSize2 = 50;
autoenc2 = trainAutoencoder(feat1,hiddenSize2, ...
    'MaxEpochs',100, ...
    'L2WeightRegularization',0.002, ...
    'SparsityRegularization',4, ...
    'SparsityProportion',0.1, ...
    'ScaleData', false);

view(autoenc2)

Answer 1

[Divya Gaddipati]

One way is to use imageDatastore.

datasetPath = fullfile('/path/to/dataset');
imds = imageDatastore(datasetPath, ...
    'IncludeSubfolders',true,'LabelSource','foldernames');

Refer to the Load and Explore Image Data section in the following example:

https://www.mathworks.com/help/deeplearning/ug/create-simple-deep-learning-network-for-classification.html#TrainABasicConvolutionalNeuralNetworkForClassificationExample-1

For more information on imageDatastore, you can refer to the below link

https://www.mathworks.com/help/matlab/ref/matlab.io.datastore.imagedatastore.html