Search Results for author: David Schoch

Found 1 papers, 1 papers with code

Evaluation of HTR models without Ground Truth Material

1 code implementation LREC 2022 Phillip Benjamin Ströbel, Simon Clematide, Martin Volk, Raphael Schwitter, Tobias Hodel, David Schoch

The evaluation of Handwritten Text Recognition (HTR) models during their development is straightforward: because HTR is a supervised problem, the usual data split into training, validation, and test data sets allows the evaluation of models in terms of accuracy or error rates.

Handwritten Text Recognition Model Selection

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