Training Data Incunabula Reichenau
<p>This data set contains the training data for the following three published Transkribus models:</p> <ol> <li><a href="https://readcoop.eu/model/german-incunabula-reichenau/" target="_blank" rel="noopener">German Incunabula (Reichenau)</a></li> <li><a href="https://readcoop.eu/model/latin-incunabula-reichenau/" target="_blank" rel="noopener">Latin Incunabula (Reichenau)</a></li> <li><a href="https://readcoop.eu/model/latin-german-bilingual-incunabula-reichenau/" target="_blank" rel="noopener">Latin/German Bilingual Incunabula (Reichenau)</a></li> </ol> <p>This model is trained to recognize the Gothic and Antiqua typefaces found in Latin incunabula and early prints. The Ground Truth used to train and evaluate this models is based on a collection of incunabula and post-incunabula of the former Reichenau monastery, now held at the Badische Landesbibliothek in Karlsruhe.</p> <p>It was developed by the project Digitalisierung und Volltexterkennung der ehemals Reichenauer Inkunabeln at the Badische Landesbibliothek, which was funded by the Stiftung Kulturgut Baden-Württemberg.</p>
ShareScore
32/100
Overall dataset sharing score
Score breakdown
These five areas show where the dataset supports — or may limit — practical reuse.
- Stewardship
- 4
- Harmonization
- 4
- Access
- 16
- Reuse readiness
- 8
- Engagement
- 0