More than half a million representative text-based images compiled by a number of major European libraries.
Dataset of ICDAR 2019 Competition on Post-OCR Text Correction
The corpus accounts for 22M OCRed characters along with the corresponding Gold Standard (GS).
REID2017
Example and evaluation dataset used for the ICDAR2017 Competition on Recognition of Early Indian printed Documents
HBR2013
Example and evaluation dataset used for the ICDAR2013 Competition on Historical Book Recognition.
GT4HistOCR: Ground Truth for training OCR engines on historical documents in German Fraktur and Early Modern Latin
GT4HistOCR contains ground truth for research in Optical Character Recognition (OCR) technology applied to historical printings in German Fraktur and Early Modern Latin.
CIS OCR Workshop v1.0: OCR and postcorrection of early printings for digital humanities
The 2-day CIS OCR Workshop on “OCR and postcorrection of early printings for digital humanities” originally held at LMU, Munich 14/15 September 2015 (see http://www.cis.lmu.de/ocrworkshop).