Benchmarking Zero-Shot Open-Vocabulary and Fine-Tuned Object Detectors for Underground Mine Personnel Detection

Ellen Essien, Samuel Frimpong

Open source

DOI
10.3390/s26175646
Published
2026-09-05
Container
Sensors
Publisher
MDPI AG
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:10.3390/s26175646,
  title = {Benchmarking Zero-Shot Open-Vocabulary and Fine-Tuned Object Detectors for Underground Mine Personnel Detection},
  author = {Ellen Essien and Samuel Frimpong},
  year = {2026},
  journal = {Sensors},
  doi = {10.3390/s26175646},
  url = {https://doi.org/10.3390/s26175646}
}

RIS

TY  - JOUR
TI  - Benchmarking Zero-Shot Open-Vocabulary and Fine-Tuned Object Detectors for Underground Mine Personnel Detection
AU  - Ellen Essien
AU  - Samuel Frimpong
PY  - 2026
JO  - Sensors
DO  - 10.3390/s26175646
UR  - https://doi.org/10.3390/s26175646
ER  - 

APA

Essien, E., & Frimpong, S. (2026). Benchmarking Zero-Shot Open-Vocabulary and Fine-Tuned Object Detectors for Underground Mine Personnel Detection. Sensors. https://doi.org/10.3390/s26175646

Source records