Data Augmentation | Vibepedia

Data augmentation is a crucial technique in machine learning for artificially increasing the size and diversity of training datasets. By creating modified versions of existing data, it helps improve model generalization, reduce overfitting, and enhance overall performance, especially when dealing with limited or imbalanced datasets.