diff --git a/README.md b/README.md index 3297a184a59b348289013d9db29827401172f10d..94a111a59ae1c4c158f1c5dfde6cf598188a4ddf 100644 --- a/README.md +++ b/README.md @@ -5,12 +5,12 @@ 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).