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YOLOv8 employs a series of data augmentation techniques, including Mosaic, Mixup, random perspective transformation, and HSV augmentation. Additionally, the input images undergo meticulous preprocessing, which includes dynamically resizing them to a fixed size, performing normalization, and converting the color space. Alos, dynamically resizing them to a fixed size, performing normalization, and converting the color space.
