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TexBiG Dataset for Analysing Complex Document Layouts in the Digital Humanities

Name: TexBiG Dataset for Analysing Complex Document Layouts in the Digital Humanities
Keywords: instance segmentation, document layout analysis, digital humanities

Research datakeyboard_double_arrow_right Dataset 27 Sep 2022 German Publisher:Zenodo

Authors: Tschirschwitz, David; Klemstein, Franziska; Stein, Benno; Rodehorst, Volker;

doi: 10.5281/zenodo.6885144 , 10.5281/zenodo.8347059 , 10.5281/zenodo.6885143

TexBiG Dataset for Analysing Complex Document Layouts in the Digital Humanities

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Abstract

This is the dataset for the paper "A Dataset for Analysing Complex Document Layouts in the Digital Humanities and its Evaluation with Krippendorff ’s Alpha". TexBiG (from the German Text-Bild-Gefüge, meaning Text-Image-Structure) is a document layout analysis dataset for historical documents in the late 19th and early 20th century. The dataset provides instance segmentation (bounding boxes and polygons/masks) annotations for 19 different classes with more then 52.000 instances. Annotations are manually annotated by experts and evaluated with Krippendorff's Alpha, for each document image are least two different annotators have labeled the document. Further details can be found in the Paper.

Related Organizations

Bauhaus University, Weimar
Germany

Keywords

instance segmentation, document layout analysis, digital humanities

1 Research products, page 1 of 1

Weights & Model Configs for: A Dataset for Analysing Complex Document Layouts in the Digital Humanities and its Evaluation with Krippendorff 's Alpha
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