UrbanOccupationsOETR_Generalkarte_DCNN_dataset

The UrbanOccupationsOETR_Generalkarte_DCNN_dataset is the dataset that contains sample material for Road Type Automatic Feature Extraction analysis based on the Generalkarte Historical Transport Map. We provide 500 images per road type divided into a separate training and validation folder. In addition, all images and labels are divided by their respective labelled road type sub-category.<br> <br> If you would like to use the dataset below in further publication, please use the credentials specified below: Can, Yekta Said, Petrus Johannes Gerrits, and M. Erdem Kabadayi, ‘Automatic Detection of Road Types From the Third Military Mapping Survey of Austria-Hungary Historical Map Series With Deep Convolutional Neural Networks’, IEEE Access 9 (2021): 62847–56, https://doi.org/10.1109/ACCESS.2021.3074897. Please contact <em>[e-mail]</em> for questions regarding the DCNN dataset.UrbanOccupationsOETR_Generalkarte_DCNN_dataset是用于开展基于《Generalkarte历史交通地图》（Generalkarte Historical Transport Map）的道路类型自动特征提取分析的样本素材数据集。我们为每一类道路类型提供500张图像，并将其分别归入独立的训练文件夹与验证文件夹。此外，所有图像与标签均按照其对应的标注道路类型子类别进行分类归档。 若您计划在后续学术发表工作中使用本数据集，请遵循如下引用规范：作者为Yekta Said Can、Petrus Johannes Gerrits与M. Erdem Kabadayi，论文题为《基于深度卷积神经网络（Deep Convolutional Neural Networks，DCNN）的奥匈帝国第三次军事测绘历史地图集道路类型自动识别》，发表于《IEEE Access》2021年第9卷，页码范围62847–62856，DOI链接：https://doi.org/10.1109/ACCESS.2021.3074897。若您对该DCNN数据集存有疑问，请联系邮箱[e-mail]。