Data available for "Adding graphic elements to herbarium labels to improve computer vision detection": YOLOv5 Best model weights, for BORDERS amended-MELU trained object detection model
Data Available for the paper: "Adding graphic elements to herbarium labels to improve computer vision detection", by Karen M Thompson, Robert Turnbull, Emily Fitzgerald, Joanne L Birch
This is the 'best' weights for use in a YOLOv5 object detection model - where BORDERS have been digitally added to the institutional and annotation labels on the specimen image
This research was undertaken using the LIEF HPC-GPGPU Facility hosted at the University of Melbourne. This Facility was established with the assistance of LIEF Grant LE170100200.
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