how to use augmentedImageDatastore for validation

Is there a way to use augmentedImageDatastore (in my case augimds30) for validation?

for e.x. I split dataset in 70 by 30 percent, and I augment like this:

augimds30 = augmentedImageDatastore([50 50 3],imds30)

but then how to use this here for validation instead of imds30?

YPred = classify(net,imds30);
YValidation = imds30.Labels;

because if I put here augimds30 I get :

No appropriate method, property, or field 'Labels' for class 'augmentedImageDatastore'.
Error in cnn (line 50)
YValidation = augimds30.Labels;

[0xJcam]

Hello Sr.

I already had the same question and digging on internet I found following answer...

It is not posible cause 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.

https://www.mathworks.com/help/deeplearning/ref/trainingoptions.html#namevaluepairarguments

Hope this can be helpful to someone.

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