Image flipping is a data augmentation technique where an image is mirrored along a specific axis, typically horizontally or vertically. This process is widely used to enhance training datasets in deep learning, especially for tasks like visual question answering and image captioning, as it helps models generalize better by introducing variations of the original images.
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