The digitisation team around Liesbeth Keyser from the National Archives in the Netherlands is working hard on creating training data for their collections in order to prepare HTR processing on a large scale. As a first result a model based on 475.769 words is now made available for Transkribus users. The model shows a Character Error Rate of 7.48% on the training set and 6.15% on the validation set. It is based on the careful transcription of dozens of different handwritings and comprises scans from the Incoming Documents from the Dutch East India Company (Overgekomen Brieven en Papieren van de VOC) of the National Archives of the Netherlands and of 19th century Notarial deeds from the Noord-Hollands archief. The model is named: NAN/NHA_GT_M3+ Enjoy!
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