Datasets List

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Datasets -> Datasets List

Last updated: 2011-007-08

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

Machine-printed Documents

Graphical Documents

Scene Text

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.

On-line

Off-line

  • 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 (thoma@lhc.nlm.nih.gov) at the National Library of Medicine for more information.

Software and Tools



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