Question
I have a series of P images, each MxNxC (in other words C channels) organized as a 4D numeric array X where size(X) is [M,N,C,P]. I have a corresponding series of P label maps organized as a 3D numeric array Y where size(Y) is [M,N,P]. Question: How do I convert this input to a form that can be fed to trainNetwork() in a semantic image segmentation application? I know that trainNetwork has an input syntax, trainedNet = trainNetwork(X,Y,layers,options) but the documentation does not discuss the format of Y for semantic segmentation problems.
Expert Answer
Neeta Dsouza
PhD Expert
Answered Nov 20, 2025
In case you have images with their ground truth image files, you can create image datastore and a pixelLabelDatastore and pass it to trainNetwork function using the following command.
%imds = imageDatastore(imageDirectory); %Image DataStore %pxds = pixelLabelDatastore(pixelatedImageDirectory,classNames,pixelLabelID); %PixelLabel DataStore trainingData = pixelLabelImageDatastore(imds,pxds); net = trainNetwork(trainingData,layers,opts);
Currently the support for directly using a 4D Numeric array is not present so you may have to convert the array into set of images and store then in files accordingly.
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