The repo gt_structure_5_2 is part of the OCR-D Ground Truth Structure corpus. Only the structure of the printed page is annotated. The corpus was created as a result of the DFG project OCR-D.
This project is maintained by OCR-D
The GT data has been labeled. The labeling is based on an ontology defined by the Pattern Recognition and Image Analysis Research Lab (PRImA-Research-Lab) at the University of Salford. This normalized and semantic description of the OCR-GT data can be found in the METS metadata file. The labeling metadata is created for each available page. The following labeling metadata is available for the complete collection.
Here you will find a description and explanation of the labeling metadata.
Description: In computer vision, document layout analysis is the process of identifying and categorizing the regions of interest in the scanned image of a text document. A reading system requires the segmentation of text zones from non-textual ones and the arrangement in their correct reading order. Examples: Page layout analysis (segmentation into regions, classification into text, graphic, table etc.) Related: "OCR": Often used as a synonym for layout analysis and text recognition, but strictly only the text recognition component.
Description: The recognition of table/form structure and/or contents. Examples: Stock exchange data in a newspaper, Filled in questionaire form Related: OCR Object / shape recognition (e.g. table separator detection)
Description: E.g. XML
Description: Corpus: a collection of written texts, especially the entire works of a particular author or a body of writing on a particular subject. Examples: A text corpus, An image database
Description: Description coming soon.
Description: Description coming soon.
Description: Description coming soon.
Description:
Description: Footnotes at bottom of page
Description: Titles repeated each page
Description: Description coming soon.
Description: Description coming soon.
Description: Region, zone, block
Description: Description coming soon.
You can download the complete data here. They contain a zip file in which the components of the collection are also in zip files. Metadata for the complete collection and the components are in METS format.
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| TxtRegion | ImgRegion | LineDrawRegion | GraphRegion | TabRegion | ChartRegion | SepRegion | MathRegion | ChemRegion | MusicRegion | AdRegion | NoiseRegion | UnknownRegion | CustomRegion | TextLine | Page |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 6309 | 0 | 0 | 83 | 51 | 0 | 176 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1620 |