Data Augmentation

Artificially increasing the size of a training dataset by creating modified versions of existing data. Think of it like teaching a dog to recognize different breeds by showing it photoshopped pictures of dogs with different fur colors or ear shapes. This helps the model generalize better and be less sensitive to small variations in the input.