Transform Your Datasets: Discover the Magic of AI Data Augmentation!

Introduction Getting Started: The Concept of Data Augmentation and it’s Benefits. According to the definition, data augmentation is the modification of existing datasets in order to improve effectiveness, particularly in circumstances where building collections of labeled data is a logistic or cost problem. By making transformations to the original data either by rotating, scaling or flipping images among others, not only will the generalization ability of various machine learning models be improved, but also overfitting will be minimized. This process ensures that you build and enrich your dataset at little or no human work or extra resources needed. Apart from assisting in enhancing model performance, data augmentation brings variation in the training instances ensuring that AI systems are trained on a wide range of cases. For example, in the case of Natural Language Processing (NLP), if a few sentences are paraphrased, it helps the algorithms capture the style better. In the s...