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What is the correct syntax for using an augmentedImageDatastore as validation data in trainingOptions for the trainNetwork() function?

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I have the following image datastore:
myDataset = imageDatastore('C:\MyData',...
'IncludeSubfolders',true,...
'FileExtensions','.png',...
'LabelSource','foldernames');
[imdsTrain, imdsVal, imdsTest] = splitEachLabel(myDataset, 0.6, 0.2, 'randomized');
Which I then prepare to input into some pre-trained networks:
augimdsTrain = augmentedImageDatastore([227 227 3],imdsTrain,...
'ColorPreprocessing', 'gray2rgb',...
'DataAugmentation', augmenter);
augimdsVal = augmentedImageDatastore([227 227 3],imdsVal, ...
'ColorPreprocessing', 'gray2rgb');
augimdsTest = augmentedImageDatastore([227 227 3],imdsTest,...
'ColorPreprocessing', 'gray2rgb');
What is the correct syntax for using augimdsVal as 'ValidationData'in trainingOptions? Do I just use the augmented datastore as is (as I've seen in some of the documentation):
options = trainingOptions('sgdm','InitialLearnRate', 0.0001, 'ValidationData', augimdsVal);
Or can I add labels like so:
options = trainingOptions('sgdm','InitialLearnRate', 0.0001, 'ValidationData', {augimdsVal imdsVal.Labels});
Or is there a better way?

Accepted Answer

Harsha Priya Daggubati
Harsha Priya Daggubati on 15 May 2020
Hi,
The name-value pair 'ValidationData' can support only the following types as a value:
  1. Image Data Store.
  2. Data Store.
  3. Table.
  4. Cell array of X and Y, where X represents data while Y represents corresponding labels.
So, I guess it is invalid to give labels again as a value.
Refer to the following link:
Hope this clarifies your concern!
  3 Comments
Harsha Priya Daggubati
Harsha Priya Daggubati on 15 May 2020
As the imagedataStore has labels, there is no need to explicitly specify labels to augmented image datastore, when we use imds as the argument during creation.

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