Ah OK. In case that’s the question: I would try to keep the validation dataset as close to the test dataset (which one should only use once the model training is done) so that the validation dataset can indeed act as a proxy for the test set (i.e. the unseen samples).
In that case, no I would not add random data augmentation to the validation data, but would make sure to use the same (static) preprocessing such as resizing, normalization etc.