Leveraging museum specimens for AI-driven trait detection using computer vision: A case study on Zimbabwean fish

Kudzai Mafuwe, Nobuhle Sebata, Mwazvita T. Zimunya, Michael S. Crossley

Open source

DOI: 10.3897/nhcm.3.187529
Published: 2026-08-10
Container: Natural History Collections and Museomics
Publisher: Pensoft Publishers
Open access: unknown

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Cite this work

BibTeX

@article{allodium:10.3897/nhcm.3.187529,
  title = {Leveraging museum specimens for AI-driven trait detection using computer vision: A case study on Zimbabwean fish},
  author = {Kudzai Mafuwe and Nobuhle Sebata and Mwazvita T. Zimunya and Michael S. Crossley},
  year = {2026},
  journal = {Natural History Collections and Museomics},
  doi = {10.3897/nhcm.3.187529},
  url = {https://doi.org/10.3897/nhcm.3.187529}
}

RIS

TY  - JOUR
TI  - Leveraging museum specimens for AI-driven trait detection using computer vision: A case study on Zimbabwean fish
AU  - Kudzai Mafuwe
AU  - Nobuhle Sebata
AU  - Mwazvita T. Zimunya
AU  - Michael S. Crossley
PY  - 2026
JO  - Natural History Collections and Museomics
DO  - 10.3897/nhcm.3.187529
UR  - https://doi.org/10.3897/nhcm.3.187529
ER  -

APA

Mafuwe, K., Sebata, N., Zimunya, M. T., & Crossley, M. S. (2026). Leveraging museum specimens for AI-driven trait detection using computer vision: A case study on Zimbabwean fish. Natural History Collections and Museomics. https://doi.org/10.3897/nhcm.3.187529

Source records

crossref · retrieved 2026-09-26T00:54:58.086Z