Digital Peter
Introduced by Potanin et al. in Digital Peter: Dataset, Competition and Handwriting Recognition Methods
Digital Peter is a dataset of Peter the Great's manuscripts annotated for segmentation and text recognition. The dataset may be useful for researchers to train handwriting text recognition models as a benchmark for comparing different models. It consists of 9,694 images and text files corresponding to lines in historical documents. The dataset includes Peter’s handwritten materials covering the period from 1709 to 1713.
The open machine learning competition Digital Peter was held based on the considered dataset.
Benchmarks
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Digital Peter
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StackMix+Blots
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Papers
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