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Nasjonalbiblioteket

Synthetic text images for North, South, Lule and Inare Sámi

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Description

This dataset contains synthetic line images meant for fitting OCR models for North, South, Lule and Inari Sámi. Clean line images are created using Pillow and they are subsequently distorted using Augraphy.

The text in this dataset comes from Giellatekno's corpus.

The dataset is split randomly by file so 71 % of the files (307387 lines) are in the training split, 9 % of the files (40765 lines) are in the validation split and 20 % of the files (84534 lines) are in the test split. Each split has a unique set of typefaces and text/background colors. | See the documentation file for more information.

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Distributions
1

Nameless distribution
  • zip
Download

APIs providing this dataset
0

No registered APIs provide this dataset.

Contact information

Contact point:
Not provided
Website:
https://www.nb.no/sprakbanken/
Email:
sprakbanken@nb.no
Telephone:
Not provided

About the data

Language:
Not provided
Content providers:
Not provided
Provenance:
Not provided
Update frequency:
Not provided
First issued:

This date indicates when the data in this dataset was first released. It may have happened before the dataset was published on data.norge.no.

October 1, 2024
Last updated:
January 28, 2025
Accuracy:
Not provided
Availability:
Not provided
Completeness:
Not provided
Currentness:
Not provided
Relevance:
Not provided
Geographical scope:
Not provided
Temporal scope:
Not provided
Conforms to:

Reference to an implementation rule or other specification that forms the basis for the dataset.

Not provided

Legal basis

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Concepts used in the dataset

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References

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About this dataset

Publisher:
Nasjonalbiblioteket
Published:

This date indicates when the dataset was harvested by data.norge.no. It may have been available earlier elsewhere.

Read more about harvesting here

March 3, 2026
Last updated:
March 13, 2026
Landing page:
Not provided
Documentation:
Not provided
Dataset type:
Not provided
Metadata Quality:

Metadata quality is an indicator of how well the datasets are described using metadata.

Read more about metadata quality here

Good (59%)
URI:

Themes

Keywords

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