<ul><li>Data augmentation is crucial for training accurate models in computer vision, especially with limited labeled data.</li><li>It artificially increases the dataset size and diversity by applying transformations to existing images.</li><li>Data augmentation helps prevent overfitting and improves model generalization to real-world scenarios.</li><li>However, excessive augmentation can introduce unrealistic variations and potentially amplify biases in the dataset.</li></ul>

An Overview of Image Data Augmentation in Deep Learning

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