YOLOFM: an improved fire and smoke object detection algorithm based on YOLOv5n

Xin Geng, Yixuan Su, Xianghong Cao, Huaizhou Li, Linggong Liu

Open source

DOI
10.1038/s41598-024-55232-0
Published
2024-02-24
Container
Scientific Reports
Publisher
Springer Science and Business Media LLC
Open access
unknown

Credibility signals

uncertain Score 64/100 under policy 1.0.0. This is a metadata assessment, not a judgment of the paper's conclusions.

Show all credibility signals

Cite this work

BibTeX

@article{allodium:10.1038/s41598-024-55232-0,
  title = {YOLOFM: an improved fire and smoke object detection algorithm based on YOLOv5n},
  author = {Xin Geng and Yixuan Su and Xianghong Cao and Huaizhou Li and Linggong Liu},
  year = {2024},
  journal = {Scientific Reports},
  doi = {10.1038/s41598-024-55232-0},
  url = {https://doi.org/10.1038/s41598-024-55232-0}
}

RIS

TY  - JOUR
TI  - YOLOFM: an improved fire and smoke object detection algorithm based on YOLOv5n
AU  - Xin Geng
AU  - Yixuan Su
AU  - Xianghong Cao
AU  - Huaizhou Li
AU  - Linggong Liu
PY  - 2024
JO  - Scientific Reports
DO  - 10.1038/s41598-024-55232-0
UR  - https://doi.org/10.1038/s41598-024-55232-0
ER  - 

APA

Geng, X., Su, Y., Cao, X., Li, H., & Liu, L. (2024). YOLOFM: an improved fire and smoke object detection algorithm based on YOLOv5n. Scientific Reports. https://doi.org/10.1038/s41598-024-55232-0

Source records