Fine-tuning YOLO detectors on fire and smoke data raised aerial wildfire detection mAP from 45.7% to 79.2% on the authors' AFSE dataset, but did not improve edge-computing metrics.
Increasing damages from wildfires warrant investment in wildland fire management,
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Detecting Wildfire Flame and Smoke through Edge Computing using Transfer Learning Enhanced Deep Learning Models
Fine-tuning YOLO detectors on fire and smoke data raised aerial wildfire detection mAP from 45.7% to 79.2% on the authors' AFSE dataset, but did not improve edge-computing metrics.