Why Is Data Augmentation Important?

Let’s imagine going into a secluded, unexplored forest with various species of plants and trees that we’ve never seen before. But still, just by looking at them, we can identify them as trees. Wouldn’t it be great to train our model to recognize objects in a way that it performs brilliantly on unseen data, just like a human does?

We know that it is impossible to include all the variations of real-world data in our training set. This is where data augmentation comes into play, which is a ...