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MELU-Trained-ObjDetection-Model-Yolov5-BEST.pt (88.61 MB)

Data available for "Identification of herbarium specimen sheet components from high-resolution images using deep learning": YOLOv5 Best model weights for MELU trained object detection model

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posted on 2023-07-27, 03:27 authored by Karen ThompsonKaren Thompson, Robert TurnbullRobert Turnbull

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


This is the 'best' weights for use in a YOLOv5 object detection model.


Other information available to support this paper:

(1) annotations for selected MELU specimen sheet digital images

(2) annotations for benchmark dataset (noting these are specific to the MELU trained model) 

Funding

A high-performance cloud resource for computational modelling

Australian Research Council

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