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 This repository provides a Jupyter notebook that uses a YOLOv8 model to extract figures from a book given the url of its iiif manifest.
 
 The model has been trained on the following fives book from the ABO corpus:
-- [](http://data.onb.ac.at/ABO/%2BZ97792402)
-- [](http://data.onb.ac.at/ABO/%2BZ155502807)
-- [](http://data.onb.ac.at/ABO/%2BZ156318706)
-- [](http://data.onb.ac.at/ABO/%2BZ164403901)
-- [](http://data.onb.ac.at/ABO/%Z259182702)
+- http://data.onb.ac.at/ABO/%2BZ97792402
+- http://data.onb.ac.at/ABO/%2BZ155502807
+- http://data.onb.ac.at/ABO/%2BZ156318706
+- http://data.onb.ac.at/ABO/%2BZ164403901
+- http://data.onb.ac.at/ABO/%Z259182702
 
-From these approximately 1700 book pages 250 contain figures that have been annotated with bounding boxes with the image annotation webservice [CVAT](https://www.cvat.ai/). Training has been done locally with the nano version of YOLOv8. The resulting model for figure detection is given by ()[model_extract_figures.pt].
+From these approximately 1700 book pages 250 contain figures that have been annotated with bounding boxes with the image annotation webservice [CVAT](https://www.cvat.ai/). Training has been done locally with the nano version of YOLOv8. The resulting model for figure detection is given by [model_extract_figures.pt](model_extract_figures.pt).