NFFA-EUROPE - Majority SEM Dataset

Dataset of 21,272 SEM images produced at CNR-IOM (Trieste, Italy). Images are classified into 10 categories in a folder structure. Classification labels have been checked by a group of nanoscientists on the web site http://sem-classifier.nffa.eu and only those images which have been validated by the absolute majority of the group have been included in the dataset.
The dataset is appropriate for the purposes of this study and in general for visual object recognition software research. Any scientific metadata associated to the measure is not present in the images. The dataset is therefore relevant as a whole, being the single images entirely detached from any specific information or scientific detail related to the displayed subject. This work has been done within the NFFA-EUROPE project (www.nffa.eu) and has received funding from the European Union’s Horizon 2020 Research and Innovation Programme under grant agreement No. 654360 NFFA-Europe.

本数据集包含21272张由意大利的里雅斯特的CNR-IOM机构拍摄的扫描电子显微镜（SEM, Scanning Electron Microscope）图像。数据集以文件夹层级结构划分为10个类别。分类标签已由纳米科学研究团队在网站http://sem-classifier.nffa.eu上完成校验，仅通过该团队绝对多数成员验证的图像才被纳入本数据集。
本数据集适配本研究的相关需求，同时也可广泛应用于视觉目标识别软件的研究工作。图像中未附带任何与该成像测试相关的科学元数据，因此本数据集整体具备较高的研究价值——这是因为单张图像完全剥离了与所展示研究对象相关的所有特定信息与科学细节。本数据集的制作依托NFFA-EUROPE项目（www.nffa.eu）完成，并获得欧盟“地平线2020”研究与创新计划的资助，拨款协议编号为654360 NFFA-Europe。

搜集汇总

背景与挑战

背景概述

该数据集包含21,272张SEM图像，分为10个类别，经过纳米科学家团队验证，适用于视觉对象识别研究。数据集总大小为13.6GB，每个类别对应一个压缩文件。