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Meanwhile, the notes below and the 60-second cards cover the same ideas.
Practise this topicAugmentation
Augmentation makes new training images by flipping, rotating, cropping or recolouring the ones you have.
Remember: Ask: would a person still give it the same label?
Try the example in Code Lab
import numpy as np img = np.array([[1, 2, 3], [4, 5, 6]]) print(np.fliplr(img).tolist())