Real-time wildfire instance segmentation from self-supervised training labels
The onboard-capable version of the YOLOv11 instance segmentation architecture with airborne infrared imagery of wildfires is trained using training labels obtained from a separate self-supervised learning framework, demonstrating the feasibility of self-supervised machine learning for creating training labels.