Datasets List

From TC11
Revision as of 01:43, 31 May 2013 by Liwicki (talk | contribs) (Machine-printed Documents)
Jump to: navigation, search

Datasets -> Datasets List

Last updated: 2013-005-31

See the datasets sorted according to the Journal / Conference they first appeared in.

Complex Text Containers

Scene Text

Machine-printed Documents

  • Table Ground Truth for the UW3 and UNLV datasets
  • The DocLab Dataset for Evaluating Table Interpretation Methods
  • PRImA Layout Analysis Dataset
  • DFKI Dewarping Contest Dataset (CBDAR 2007) The dataset, that was used in the CBDAR 2007 Dewarping Contest, contains 102 camera captured documents with their corresponding ASCII text ground-truth. Additionally, text-line level ground-truth was also prepared to benchmark curled text-line segmentation algorithms. Part of the dataset (76 out of 102 pages) were also scanned with a flat-bed scanner to create a ground-truth image for image based evaluation of page dewarping algorithms.
  • APTI: Arabic Printed Text Image Database
  • LRDE Document Binarization Dataset (LRDE DBD) This dataset is composed of documents images extracted from the same French magazine: Le Nouvel Observateur, issue 2402, November 18th-24th, 2010. The provided dataset is composed of 375 Full-Document Images (A4 format, 300-dpi resolution).
  • RETAS OCR Evaluation Dataset The RETAS dataset (used in the paper by Yalniz and Manmatha, ICDAR'11) is created to evaluate the optical character recognition (OCR) accuracy of real scanned books. The dataset contains real OCR outputs for 160 scanned books (100 English, 20 French, 20 German, 20 Spanish) downloaded from the Internet Archive website. The corresponding ground truth text for each scanned book is obtained from the Project Gutenberg database. The OCR output of each scanned book is aligned with its ground truth at the word and character level and the alignment output is provided along with estimated OCR accuracies. The dataset is provided for research purposes.

Graphical Documents

Mixed Content Documents

Handwritten Documents

On-line and Off-line

  • CASIA Online and Offline Chinese Handwriting Databases - The Chinese handwriting datasets were produced by 1,020 writers using Anoto pen on papers, such that both online and offline data were obtained. Both the online and the offline dataset consists of three subsets for isolated characters (DB1.0–1.2, about 3.9 million samples of 7,356 classes) and three for handwritten texts (DB2.0–2.2, about 5,090 pages and 1.35 million characters). The datasets are free for academic research for handwritten document segmentation and retrieval, character and text line recognition, writer adaptation and identification.



  • The Rimes Database comprises 12,723 handwritten pages corresponding to 5605 mails of two to three pages. It was collected by asking volunteers to write a letter given one of nine predefined scenarios related to business/customer relations. The dataset has been used in numerous competitions in ICDAR and ICFHR. It is available for research purposes only, through the Web site of the authors.
  • IAM Database - A full English sentence database for off-line handwriting recognition.
  • The GERMANA Dataset - GERMANA is the result of digitising and annotating a 764-page Spanish manuscript entitled “Noticias y documentos relativos a Doña Germana de Foix, ́última Reina de Aragón", written in 1891 by Vicent Salvador. It contains approximately 21K text lines manually marked and transcribed by palaeography experts.
  • The RODRIGO Dataset - RODRIGO is the result of digitising and annotating a manuscript dated 1545. Digitisation was done at 300dpi in color by the Spanish Culture Ministry. The original manuscript is a 853-page bound volume, entitled "Historia de España del arçobispo Don Rodrigo", completely written in old Castilian (Spanish) by a single author. Annotation exists for text blocks, lines and transcriptions, resulting in approximately 20K lines and 231K running words from a lexicon of 17K words.
  • MARG- Medical Article Records Groundtruth - A freely-available repository of document page images and their associated textual and layout data. The data has been reviewed and corrected to establish its "ground truth". Please contact Dr. George Thoma ( at the National Library of Medicine for more information.

Software and Tools

This page is editable only by TC11 Officers .