MOKE-microscopy-Skyrmion-dataset

Magnetic skyrmions in thin-film systems are heavily under investigation due to their potential applicability for spintronic applications. An often used imagning techniqe is the magneto-optical Kerr effect (MOKE-)microscopy. Here we provide approximately 2400 MOKE images of around 30 different thin film measurements, focused on magnetic skyrmions and material defects. The dataset counts more than 1 million skyrmions. Corresponding labels are also provided pixelwise as a 3-class label (Background, skyrmion, defect) for training neural network devices on detection. Own U-Net based pre-trained models are available for direct usage. The corresponding publication is in preparation. Statistics and models used for publication are also included.薄膜体系中的磁性斯格明子（magnetic skyrmions）因其在自旋电子学领域的潜在应用价值而受到广泛研究。其中一种常用的成像技术为磁光克尔效应（magneto-optical Kerr effect, MOKE）显微镜技术。本数据集提供了约2400幅磁光克尔效应显微镜图像，源自约30组不同的薄膜测量实验，成像聚焦于磁性斯格明子与材料缺陷。该数据集总计包含超过100万个斯格明子样本。同时配套提供逐像素标注的三类标签（背景、斯格明子、缺陷），可用于训练神经网络开展目标检测任务。本研究自主研发的基于U-Net架构的预训练模型亦可直接投入使用。相关学术论文尚在筹备阶段，论文中所用的统计数据与模型文件均已包含在本数据集内。

搜集汇总

背景与挑战

背景概述

该数据集包含约2400张磁光克尔效应（MOKE）显微镜图像，聚焦于磁性斯格明子和材料缺陷，覆盖超过100万个斯格明子实例，并提供像素级的三类标注（背景、斯格明子、缺陷），适用于训练神经网络进行目标检测。数据集还包括预训练的U-Net模型和统计信息，支持磁性斯格明子在自旋电子学应用中的研究。