3 datasets found

The ICDAR 2019 Competition on Image Retrieval for Historical Handwritten Documents dataset consists of 20,000 document images representing about 10,000 writers, divided into...

Baseline detection in historical documents using Convolutional U-Nets

The dataset is used for writer identification and retrieval. It contains 3600 document images written by 720 different writers.