ID:
technologies-1041
Name:
YOLOv8l-seg
Technology:
Deep Learning
Type:
Image segmentation
Data used as input:
Underwater imagery of cold-water coral reefs
Produced datasets (openly available):
Not specified
Demo (video if available):
Not specified
Paper (if available):
Deep Learning Based Characterization of Cold-Water Coral Habitat at Central Cantabrian Natura 2000 Sites Using YOLOv8
Paper DOI (if available):
10.3390/jmse12091617
Project ID (if available):
101058625
Project Acronym (if available):
iMagine
Service description:
Automated detection and segmentation of cold-water coral species in underwater imagery.
