Data available for "Identification of herbarium specimen sheet components from high-resolution images using deep learning": Annotations for selected MELU specimen sheet digital images

Abstract

Data Available for the paper: "Identification of herbarium specimen sheet components from high-resolution images using deep learning", by Karen M Thompson, Robert Turnbull, Emily Fitzgerald, Joanne L Birch These are specific annotations of selected specimen sheet digital images from the MELU collection (Melbourne University Herbarium). MELU collection images are available: https://online.herbarium.unimelb.edu.au/  These annotations for use in a YOLO object detection model. The format of this file is a .ZIP containing a .TXT for each image annotated.  Each .TXT file will have a row for each annotated element. Eg. "4 0.064133 0.414363 0.072186 0.309392" (i) first element is an integer ident..