Вращательная инвариантность — способность модели выдавать ту же или корректную classification несмотря на изменения orientation объекта. В image recognition rotationally invariant system может идентифицировать объект, даже если он выглядит повернутым.
In an image classification problem, an algorithm's ability to successfully classify images even when the orientation of the image changes. For example, the algorithm can still identify a tennis racket whether it is pointing up, sideways, or down. Note that rotational invariance is not always desirable; for example, an upside-down 9 shouldn't be classified as a 9. See also translational invariance and size invariance.