Sklab Youcef, Ariaout Sklab Hanane, Boujydah Y., Qacami Y., Prifti Edi, Zucker Jean-Daniel, Vignes Lebbe R., Chenin Eric. (2024). Towards a deep learning-powered herbarium image analysis platform. Biodiversity Information Science and Standards, 8, e135629 [4 p.]. ISSN 2535-0897.
Titre du document
Towards a deep learning-powered herbarium image analysis platform
Année de publication
2024
Type de document
Article
Auteurs
Sklab Youcef, Ariaout Sklab Hanane, Boujydah Y., Qacami Y., Prifti Edi, Zucker Jean-Daniel, Vignes Lebbe R., Chenin Eric
Source
Biodiversity Information Science and Standards, 2024,
8, e135629 [4 p.] ISSN 2535-0897
Global digitization efforts have archived millions of specimen scans worldwide in herbarium collections, which are essential for studying plant evolution and biodiversity.
ReColNat hosts, at present, over 10 million images. However, analyzing these datasets poses crucial challenges for botanical research. The application of deep learning in
biodiversity analyses, particularly in analyzing herbarium scans, has shown promising results across numerous tasks (Ariouat et al. 2023, Ariouat et al. 2024, Groom et al. 2023,
Sahraoui et al. 2023).
