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ARDIS
Classification
OCR/Text Detection
|...
License: Unknown

Overview

This is a new image-based handwritten historical digit dataset named ARDIS (Arkiv Digital Sweden).
The images in ARDIS dataset are extracted from 15.000 Swedish church records which were written
by different priests with various handwriting styles in the nineteenth and twentieth centuries.
The constructed dataset consists of three single digit datasets and one digit strings dataset.
The digit strings dataset includes 10.000 samples in Red-Green-Blue (RGB) color space, whereas,
the other datasets contain 7.600 single digit images in different color spaces. Figure 1 illustrates
handwritten digit images from different datasets in ARDIS.

Citation

Please use the following citation when referencing the dataset:

@article{kusetogullari2019ardis,
title={ARDIS: a Swedish historical handwritten digit dataset},
author={Kusetogullari, Huseyin and Yavariabdi, Amir and Cheddad, Abbas and Grahn, H{\aa}kan
and Hall, Johan},
journal={Neural Computing and Applications},
pages={1--14},
year={2019},
publisher={Springer}
}
Data Summary
Type
Image,
Amount
17.6K
Size
55.6MB
Provided by
Blekinge Institute of Technology
Blekinge Institute of Technology has a distinctive focus on the digitalisation of society and sustainability. BTH's task is to contribute to a more sustainable societal development through higher education, research and innovation.
| Amount 17.6K | Size 55.6MB
ARDIS
Classification
OCR/Text Detection
License: Unknown

Overview

This is a new image-based handwritten historical digit dataset named ARDIS (Arkiv Digital Sweden).
The images in ARDIS dataset are extracted from 15.000 Swedish church records which were written
by different priests with various handwriting styles in the nineteenth and twentieth centuries.
The constructed dataset consists of three single digit datasets and one digit strings dataset.
The digit strings dataset includes 10.000 samples in Red-Green-Blue (RGB) color space, whereas,
the other datasets contain 7.600 single digit images in different color spaces. Figure 1 illustrates
handwritten digit images from different datasets in ARDIS.

Citation

Please use the following citation when referencing the dataset:

@article{kusetogullari2019ardis,
title={ARDIS: a Swedish historical handwritten digit dataset},
author={Kusetogullari, Huseyin and Yavariabdi, Amir and Cheddad, Abbas and Grahn, H{\aa}kan
and Hall, Johan},
journal={Neural Computing and Applications},
pages={1--14},
year={2019},
publisher={Springer}
}
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