Data · dataset · 2023
Ground Truth transcriptions for training OCR of historical Bengali printed texts – Recognition of Early Indian Printed Documents competition - updated with improved XML coordinates
Listed in heiDATA
Description
This dataset comprises 81 digitised images (TIFF files) drawn from a selection of early printed Bengali books (1713-1914) digitised through the Two Centuries of Indian Print project (bl.uk/projects/two-centuries-of-indian-print). Also contained are ground truth transcriptions (XML) for each page that can be used for training optical character recognition software on historical Bengali printed text. The folder contains the images and ground truth used for the REID2019 competition (primaresearch.org/REID2019/), part of ICDAR 2019 (icdar2019.org/competitions-2/).
The images are out of copyright and the transcriptions are also public domain. This dataset is an updated version of Ground Truth transcriptions for training OCR of historical Bengali printed texts – Recognition of Early Indian Printed Documents competition with 48 xml files updated with more accurate text line coordinates.
Links
Where it is published
- Dataverse dataset page heidata.uni-heidelberg.de/dataset.xhtml?persistentId=doi%3A10.11588%2FDATA%2FAIQSXL ↗
landing page · from heidata uni heidelberg de
- DOI doi.org/10.11588/data/aiqsxl ↗
DOI / persistent id · from heidata uni heidelberg de
Catalogue records · 1
- Dataverse API heidata.uni-heidelberg.de/api/datasets/:persistentId/?persistentId=doi%3A10.11588%2FDATA… ↗
metadata API · from heidata uni heidelberg de
Topics
- Stated by source
- Arts and Humanities · Computer and Information Science
- From keywords
- Humanities · Optical character recognition
Provenance · 1 source records, 12 field assertions
| Source | Key | Last seen | Raw |
|---|---|---|---|
| heiDATA | doi:10.11588/DATA/AIQSXL | 19 h ago | JSON v1 |
| Field | Assertion | Extractor | Evidence |
|---|---|---|---|
| concepts[field].dataverse_subject:arts-and-humanities | source · heidata uni heidelberg de | connector:heidata_uni_heidelberg_de@1.0.0 | /subjects |
| concepts[field].dataverse_subject:computer-and-information-science | source · heidata uni heidelberg de | connector:heidata_uni_heidelberg_de@1.0.0 | /subjects |
| concepts[field].local:field:humanities | mapping · heidata uni heidelberg de | connector:heidata_uni_heidelberg_de@1.0.0 | /subjects |
| concepts[method].local:method:ocr | mapping · heidata uni heidelberg de | vocabulary-mapper@1.0.0 | keywords['Optical Character Recognition'] |
| concepts[modality].local:modality:image | enrichment · heidata uni heidelberg de | keyword-concept-rules@1.0.0 | title+description (65%) |
| concepts[modality].local:modality:text | enrichment · heidata uni heidelberg de | keyword-concept-rules@1.0.0 | title+description (75%) |
| created_date | source · heidata uni heidelberg de | connector:heidata_uni_heidelberg_de@1.0.0 | |
| description | source · heidata uni heidelberg de | connector:heidata_uni_heidelberg_de@1.0.0 | /description |
| publication_date | source · heidata uni heidelberg de | connector:heidata_uni_heidelberg_de@1.0.0 | |
| title | source · heidata uni heidelberg de | connector:heidata_uni_heidelberg_de@1.0.0 | /name |
| updated_date | source · heidata uni heidelberg de | connector:heidata_uni_heidelberg_de@1.0.0 | |
| version_label | source · heidata uni heidelberg de | connector:heidata_uni_heidelberg_de@1.0.0 |