DSS-YOLO: an improved lightweight real-time fire detection model based on YOLOv8
Abstract Fire disasters pose significant risks to human life, economic development, and social stability. The early stages of a fire, often characterized by small flames, diffuse smoke, and obstructed objects, can lead to challenges such as missed detections and poor real-time performance. To addres...
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| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Nature Portfolio
2025-03-01
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| Series: | Scientific Reports |
| Subjects: | |
| Online Access: | https://doi.org/10.1038/s41598-025-93278-w |
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