Label quality as a bottleneck for YOLO detection in all-weather autonomous driving using the MUSES dataset.

Zreiqat DZ, Nguyen V, Rawashdeh NA

DOI: 10.1007/s44291-026-00244-5
Published: 2026
Container: Discover electronics
Publisher: Not recorded
Open access: yes

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Cite this work

BibTeX

@article{allodium:10.1007/s44291-026-00244-5,
  title = {Label quality as a bottleneck for YOLO detection in all-weather autonomous driving using the MUSES dataset.},
  author = {Zreiqat DZ and Nguyen V and Rawashdeh NA},
  year = {2026},
  journal = {Discover electronics},
  doi = {10.1007/s44291-026-00244-5},
  url = {https://doi.org/10.1007/s44291-026-00244-5}
}

RIS

TY  - JOUR
TI  - Label quality as a bottleneck for YOLO detection in all-weather autonomous driving using the MUSES dataset.
AU  - Zreiqat DZ
AU  - Nguyen V
AU  - Rawashdeh NA
PY  - 2026
JO  - Discover electronics
DO  - 10.1007/s44291-026-00244-5
UR  - https://doi.org/10.1007/s44291-026-00244-5
ER  -

APA

DZ, Z., V, N., & NA, R. (2026). Label quality as a bottleneck for YOLO detection in all-weather autonomous driving using the MUSES dataset.. Discover electronics. https://doi.org/10.1007/s44291-026-00244-5

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pubmed · retrieved 2026-09-25T05:51:16.800Z