Is there a way to select specific images for the training dataset of a convolutional neural net ?

Hi, I am trying to fine tune a CNN (Googlenet) and train a new dataset (photos of various landscapes) in order to classify new images. I was wondering if there was a way to select specific images for the training dataset, instead of randomly splitting the whole dataset into training/testing images ? For example, with three classes : select images 1-10 of class 1, images 1-10 of class 2 and images 1-10 of class 3 for the training dataset...and the rest for testing.

Does anyone know of a pratical example (which I may have overlooked) that uses this approach ? I would really appreciate it.

Thank you !

Sincerely,

Answer 1

[Srivardhan Gadila]

You can refer to Datastores for Deep Learning, subset, splitEachLabel & Datastore