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.

搜集汇总

背景与挑战

背景概述

该数据集包含高功率激光近场输出图像及经过数据增强的图像和对应标签，旨在通过带有空间注意力机制的残差神经网络识别和分类近场图像中的异常及光强分布均匀性特征。数据集适用于卷积神经网络（CNN）相关的高功率激光近场分析研究。