Instance segmentation of individual tree crowns with YOLOv5: A comparison of approaches using the ForInstance benchmark LiDAR dataset

Congratulations to Stefano Puliti, Johannes Breidenbach and Rasmus Astrup on their newest publication on

“Instance segmentation of individual tree crowns with YOLOv5: A comparison of approaches using the ForInstance benchmark LiDAR dataset“

and successful collaboration between SmartForest at NIBIO and researchers from The University of Göttingen, HAWK – University of Applied Science and Arts and Scion!

This is the first article using the FOR-instance dataset. For-instance is a a UAV laser scanning benchmark dataset for semantic and instance segmentation of individual trees from five data collections representing different forests in Norway, the Czech Republic, Austria, New Zealand, and Australia.