Natural Image Orientation Angle Detection

Orientation angle detection of natural images is a challenging computer vision task aimed at enabling machines to learn image features to accurately detect the arbitrary rotation angle (0 to 359 degrees) of an image. This method not only corrects the common 90-degree step rotations in modern cameras but also handles images taken at a tilt, enhancing the accuracy and reliability of image processing. It is widely applied in fields such as image recognition, document correction, and augmented reality.