Random flip is a basic image data augmentation operation. It randomly flips images horizontally, vertically, or both, and adjusts the corresponding bounding boxes and segmentation masks synchronously. It expands sample diversity without changing the core features of objects, improving the model's adaptability to changes in object orientation.
