Using machine learning to count Antarctic shag (Leucocarbo bransfieldensis) nests on images captured by Remotely Piloted Aircraft Systems
A. Cusick, K. Fudala, P. P. Storozenko, J. Swiezewski, J. Kaleta, W. C. Oosthuizen, C. Pfeifer, R. J. Bialik
The paper develops a machine learning method to count Antarctic shag nests using RPAS imagery, achieving high accuracy with limited training data.
bioRxiv · Feb 27, 2024Ecology