I am trying to build an image classification model with Keras that should be able to classify cups as "good condition" or "defect". This was easy to do with a single image as input. However, I now want to try feeding 6 images, one from every angle(top, bottom, side etc), as input. What would be the best approach for this ? My initial idea was a np array of shape (6, width, height, 3), but this deemed unsuitable.