Research Data: UrbanOccupationsOETR_Generalkarte_DCNN_dataset
Date
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Can, Yekta Said
Gerrits, Piet
Kabadayı M. Erdem, Kabadayı M.
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KU-Authors
Koç University Affiliated Author
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Abstract
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>mkabadayi@ku.edu.tr</em> for questions regarding the DCNN dataset.
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Publisher
Zenodo
Subject
CNN, deep learning, historical maps, computer vision
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Has Part
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DOI
10.5281/zenodo.7073746
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OPEN