An image classifier has few labeled examples and must be robust to realistic orientation changes. Which preparation strategy should be evaluated?

1. Evaluate only the original training images after augmentation.
2. Apply arbitrary transformations even when they change the correct class.
3. Put augmented copies of each training image into the held-out test set.
4. Use label-preserving augmentations appropriate to the domain, applied within the training split.