Data Augmentation Explained | Deep Learning | Semantic Segmentation

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Data augmentation is a technique that enables you to increase the amount of training data by making some reasonable modifications in your existing data. Flipping, cropping, rotation, adding some noise to original data are some of the most common data augmentation techniques.

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