A study of YOLO architectures for wildfire and smoke detection in ground and aerial imagery
This study evaluates the performance of state-of-the-art YOLO architectures, YOLOv8, YOLOv9, YOLOv10, and YOLOv11, for wildfire and smoke detection. Using the Fire and Smoke dataset, we trained all models for 100 epochs with default settings to ensure a fair comparison. Performance was assessed thro...
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| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2025-06-01
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| Series: | Results in Engineering |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2590123025009454 |
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