High-power laser near-field images

For various features of the near-field output image due to various perturbations in the near-field beam transmission process, a residual neural network with an added spatial attention mechanism is used to identify and classify features such as anomalies and uniformity of light intensity distribution in the image. The data set is the high-power laser near-field output image, the image after data augmentation and the corresponding labels.