The GBN Dataset consists from four different German-Brazilian historical newspapers, along with their digital and binarized images and ground truth files. The GBN-Dataset Corpus consists of two parts. The parts are designated numerically. German-Brazilian-Newspapers-Dataset_1 = Part 1, German-Brazilian-Newspapers-Dataset_2 = Part 2. It is a dataset created for evaluation of layout analysis methods.
- Language:
- deu
- Format:
- Page-XML
- Time:
- 1912-1940
- GT Type:
- data_structure
- License:
- PublicDomainMark 1.0
- Project:
- German-Brazilian Newspapers (GBN)
- Project-URL:
- https://web.inf.ufpr.br/vri/databases/gbn/
TxtRegion | ImgRegion | LineDrawRegion | GraphRegion | TabRegion | ChartRegion | SepRegion | MathRegion | ChemRegion | MusicRegion | AdRegion | NoiseRegion | UnkownRegion | CustomRegion | TextLine | Page |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1113 | 18 | 0 | 71 | 0 | 0 | 176 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 68 |
document | TxtRegion | ImgRegion | LineDrawRegion | GraphRegion | TabRegion | ChartRegion | SepRegion | MathRegion | ChemRegion | MusicRegion | AdRegion | NoiseRegion | UnkownRegion | CustomRegion | TextLine | Page |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
DerJugendfreund | 283 | 2 | 16 | 28 | 15 | |||||||||||
EvLuthKirchenblatt | 330 | 2 | 19 | 34 | 17 | |||||||||||
DerGemeindebote | 226 | 12 | 49 | 19 | ||||||||||||
DerSandwirt | 274 | 14 | 24 | 65 | 17 |
The GBN Dataset (Part 1 and Part 2)[1] consists of 102 page images from eight different German-Brazilian historical newspapers, along with their binarized images and ground files. It is a dataset created for evaluation of layout analysis methods.
Complex layouts, poor preservation conditions of the paper, old spelling, different font sizes and the presence of multiple languages in the same page are some of the challenges of historical newspaper layout analysis that are present in the GBN Dataset. There are also pages with a slightly transparent paper and some blurs, which makes the dataset more challenging.
The dataset samples belong to the dbp digital collection from the dokumente.br initiative which has as one of the goals to digitally reconstruct the complete collection of these newspapers.
The pages of eight different newspaper titles were scanned at 600 dpi and are available in PNG format. The following table shows the composition and distribution of these images from the dataset.
Newspaper Title | Publishing date | Script | Language | Image size (in pixels) |
“Der Gemeindebote” | 1935-1938 | Fraktur | German | 3850 x 5480 |
“Der Jugendfreund” | 1911-1917 | Fraktur | German | from 2650 x 3950 to 5320 x 8050 |
“Der Pioner” | 1888-1891 | Fraktur / Latin | Portuguese / German | 7100 x 10590 |
“Der Sandwirt” | 1934-1940 | Fraktur | German | 4250 x 6020 |
“Evangelissch-Lutherisches Kirchenblatt” | 1916-1919 | Fraktur | German | 2590 x 3690 |
“Kolonie Zeitung” | 1863-1889 | Fraktur / Latin | Portuguese / German |
5470 x 7010 6700 x 8400 7050 x 9300 |
“Gemeindeblatt” | 1938 | Fraktur | German | 3850 x 5870 |
“Heimatbote” | 1936 | Fraktur | German | 3850 x 5480 |
The GBN Dataset is composed of:
- grayscale images of the pages;
- ground truth files for each of them (XML PAGE[2]).
The XML PAGE files were produced with the Aletheia software and contain the geometric representation of different classes (e.g. text, image, graphic or separator regions) of each region of the page.
The GBN dataset is released for academic research only and is free to researchers from educational or research institutes for non-commercial purposes.
Training GBN v1.0 Dataset: training-GBNv1.zip
- Araujo, A. B. “Análise de layout de página em jornais históricos germano-brasileiros,” Federal University of Paraná, Curitiba, 2019. https://acervodigital.ufpr.br/handle/1884/63706
- Pletschacher, S. and Antonacopoulos, A. “The PAGE (Page Analysis and Ground-Truth Elements) Format Framework,” in IEEE 20th International Conference on Pattern Recognition (ICPR), 2010, pp. 257–260.
Please contact Alessandra Belézia Araujo (alessandra.belezia@ufpr.br) with questions or comments.