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MODELS -- Qvire (CulturalAI) -- Detecting quiremarks

<p>The weights of the models trained on the task of quiremark detection on medieval manuscripts. Specifically this archive contains the model weights of two detection approaches used in our&nbsp;work represented by different architectures (Faster RCNN and ViT), each of which is further represented by a set of five&nbsp;weights corresponding to the resulting models trained when performing the final evaluation on all 59 manuscripts in the form of 5-fold cross validation.</p> <p>The specific manuscripts used to train/eval the&nbsp;models in each fold are also specified in this archive.</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

Dataset details

Repository
zenodo
Published
March 28, 2023
License
cc-by-4.0
DOI
10.5281/zenodo.7813910

Scored with release 0.9.0

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