nonflipped

Nonflipped is an adjective used to describe an object, image, or data element that has not undergone a flip operation, such as horizontal or vertical mirroring, or any orientation-altering transformation. It denotes preservation of the original spatial arrangement and label correspondence, in contrast to content that has been mirrored or rotated as part of preprocessing or augmentation.

In computer vision and machine learning, data augmentation often includes random flips to increase dataset diversity. Nonflipped data, by contrast, remains in its original orientation. This is important for tasks where orientation carries meaning or where mirroring could invalidate labels, such as text recognition, directional indicators, or scenes where perspective matters. Some datasets and labeling pipelines explicitly record a nonflipped flag to distinguish original images from augmented ones, helping maintain accurate evaluation and training splits.

In 3D graphics and CAD, nonflipped can refer to a model or mesh whose face winding order and normal directions have not been reversed by a transformation. Flipping can invert normals and affect rendering, shading, and back-face culling, so preserving a nonflipped orientation helps maintain intended appearance and physics behavior.

In labeling and dataset curation, nonflipped may appear as a metadata attribute indicating that a sample was not created via flipping or mirroring. This can support reproducibility, fair evaluation, and domain-specific constraints where symmetry does not apply.

See also: flip, mirroring, data augmentation, image orientation.