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 是一款包含基于通用地图（Generalkarte）历史交通地图的道路类型自动特征提取分析所需样本数据的数据集。我们为每类道路类型提供500张图像，并将其分别划分至训练文件夹与验证文件夹中。此外，所有图像与标签均按照其标注的道路类型子类别进行划分。 若您希望在后续出版物中使用本数据集，请遵循下方指定的引用规范：Yekta Said Can、Petrus Johannes Gerrits 与 M. Erdem Kabadayi，《基于深度卷积神经网络（Deep Convolutional Neural Networks）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》，《IEEE Access》第9卷（2021年）：62847–56，https://doi.org/10.1109/ACCESS.2021.3074897。若您对该深度卷积神经网络（Deep Convolutional Neural Networks，简称DCNN）数据集有任何疑问，请联系 [e-mail]。