NFFA-EUROPE - 100% SEM Dataset - Old

This dataset should not be used, because a huge amount of replicas has been found. Please use the new version.
Dataset of 25,430 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 100% 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.

本数据集请勿使用，因已发现大量重复副本，请使用其新版本。
本数据集包含25430张由意大利的里雅斯特CNR-IOM制作的扫描电子显微镜（Scanning Electron Microscope, SEM）图像。这些图像按照文件夹结构划分为10个类别。分类标签已由一组纳米科学家在网站http://sem-classifier.nffa.eu上完成审核，仅经该小组全体一致验证通过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，且总体上可用于视觉对象识别软件的研究工作。图像未附带任何与测量相关的科学元数据。因此，本数据集整体具备应用价值，因为单张图像完全剥离了与展示对象相关的所有特定信息或科学细节。
本工作依托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，资助协议编号为654360 NFFA-Europe。

搜集汇总

背景与挑战

背景概述

该数据集为旧版，明确警告不应使用，因存在大量重复，推荐使用新版。它包含25,430张SEM图像，分为10个类别，经过专家验证，适用于视觉对象识别研究，但缺乏科学元数据，且与特定科学细节脱钩。数据集源自NFFA-EUROPE项目，受欧盟Horizon 2020资助。