Identification of morphologically cryptic species with computer vision models: wall lizards (Squamata: Lacertidae: Podarcis) as a case study
Citation
Pinho C, Kaliontzopoulou A, Ferreira C A, Gama J, plazi (2023). Identification of morphologically cryptic species with computer vision models: wall lizards (Squamata: Lacertidae: Podarcis) as a case study. Plazi.org taxonomic treatments database. Checklist dataset https://doi.org/10.15468/gkuba4 accessed via GBIF.org on 2024-12-14.Description
This dataset contains the digitized treatments in Plazi based on the original journal article Pinho, Catarina, Kaliontzopoulou, Antigoni, Ferreira, Carlos A, Gama, João (2023): Identification of morphologically cryptic species with computer vision models: wall lizards (Squamata: Lacertidae: Podarcis) as a case study. Zoological Journal of the Linnean Society 198 (1): 184-201, DOI: 10.1093/zoolinnean/zlac087, URL: https://academic.oup.com/zoolinnean/article/198/1/184/6777764
Taxonomic Coverages
Geographic Coverages
Bibliographic Citations
- Pinho, Catarina, Kaliontzopoulou, Antigoni, Ferreira, Carlos A, Gama, João (2023): Identification of morphologically cryptic species with computer vision models: wall lizards (Squamata: Lacertidae: Podarcis) as a case study. Zoological Journal of the Linnean Society 198 (1): 184-201, DOI: 10.1093/zoolinnean/zlac087, URL: https://academic.oup.com/zoolinnean/article/198/1/184/6777764 -
Contacts
Catarina Pinhooriginator
Antigoni Kaliontzopoulou
originator
Carlos A Ferreira
originator
João Gama
originator
Guido Sautter
administrative point of contact
email: sautter@plazi.org
homepage: https://plazi.org
publisher
Plazi
Bern
CH
email: info@plazi.org
homepage: https://plazi.org/
plazi
metadata author
Plazi