Evaluation of HTR models without Ground Truth Material. (arXiv:2201.06170v2 [cs.CL] UPDATED)

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. However, the evaluation process
becomes tricky as soon as we switch from development to application. A
compilation of a new (and forcibly smaller) ground truth (GT) from a sample of
the data that we want to apply the …

arxiv evaluation