Map Border Dataset v2: Extended Dataset for Detection and Segmentation tasks in Historical Cadastral Maps


General Information

Map Border Dataset v2 was created in order to facilitate training and evaluation of methods for detection and segmentation tasks on historical cadastral maps. It is an extension of the Map Border Dataset. The data were collected from materials owned by the State Administration of Land Surveying and Cadastre of the Czech Replublic. We have manually created ground-truths for four tasks: Landmark Detection, Cadastre Border Detection, Inch and Corner detection and Map Area Segmentation. The dataset is freely available for education and research purposes. However, any other use is strictly excluded!

Technical Details

The dataset consists of 100 map sheets with resolution of circa 8400 x 6850 pixels. It is divided into training, validation and test parts containing 70, 10 and 20 images respectivelly. The ground-truths for each task are provided as binary masks where white colour indicates the objects of interest.

The original map sheets are stored as .JPG images. The ground-truth masks are provided in the .png format.

License

This dataset is licensed under the Attribution-NonCommercial-ShareAlike 4.0 International, so commercial use in any form is excluded.

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For further information about this dataset, please, see the paper below:

  • L. Lenc, J. Baloun, J. Martínek and P. Král, Towards Historical Map Analysis Using Deep Learning Techniques, FullText, Bibtex.
  • Please, cite this paper when you use this dataset in your experiments.