Tephritid26: A standardized, multi-angle image dataset of quarantine-significant true fruit flies for deep learning-based identification.

Li Z, Wang X, Wu Z, Yong M, De Meyer M, Bourtzis K, Wei B, Zheng T, Zeng Q, Mo J, Liu R, Susanto A, Liu W, Guo W, Ding X, Huang X, Yang D, Cheng D, Yu X, Jiang F, Li X

Open source

DOI
10.1038/s41597-026-07713-2
Published
2026 Jun 27
Container
Scientific data
Publisher
Dryad
Open access
yes

Credibility signals

uncertain Score 61/100 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/s41597-026-07713-2,
  title = {Tephritid26: A standardized, multi-angle image dataset of quarantine-significant true fruit flies for deep learning-based identification.},
  author = {Li Z and Wang X and Wu Z and Yong M and De Meyer M and Bourtzis K and Wei B and Zheng T and Zeng Q and Mo J and Liu R and Susanto A and Liu W and Guo W and Ding X and Huang X and Yang D and Cheng D and Yu X and Jiang F and Li X},
  year = {2026},
  journal = {Scientific data},
  doi = {10.1038/s41597-026-07713-2},
  url = {https://doi.org/10.1038/s41597-026-07713-2}
}

RIS

TY  - JOUR
TI  - Tephritid26: A standardized, multi-angle image dataset of quarantine-significant true fruit flies for deep learning-based identification.
AU  - Li Z
AU  - Wang X
AU  - Wu Z
AU  - Yong M
AU  - De Meyer M
AU  - Bourtzis K
AU  - Wei B
AU  - Zheng T
AU  - Zeng Q
AU  - Mo J
AU  - Liu R
AU  - Susanto A
AU  - Liu W
AU  - Guo W
AU  - Ding X
AU  - Huang X
AU  - Yang D
AU  - Cheng D
AU  - Yu X
AU  - Jiang F
AU  - Li X
PY  - 2026
JO  - Scientific data
DO  - 10.1038/s41597-026-07713-2
UR  - https://doi.org/10.1038/s41597-026-07713-2
ER  - 

APA

Z, L., X, W., Z, W., M, Y., M, D. M., K, B., B, W., T, Z., Q, Z., J, M., R, L., A, S., W, L., W, G., X, D., X, H., D, Y., D, C., X, Y., F, J., & X, L. (2026). Tephritid26: A standardized, multi-angle image dataset of quarantine-significant true fruit flies for deep learning-based identification.. Scientific data. https://doi.org/10.1038/s41597-026-07713-2

Source records