LMFM-12

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Authors: Hussin, Aimi Alina, Eva Mohamad, Shaza, Iwamoto, Koji, Takemoto, Kazuhiro
Cited by: 0

Abstract

Intended for 'Freshwater Microalgae Dataset for Deep Learning-Based Classification with Transfer Learning Analysis' for the study of microalgae image classification deep learning models. The dataset consist 7,555 images of 12 freshwater microalgae species. The 12 microalgae species available are: Closterium gracile Coelastrum morus Micrasterias crux-melitensis Pediastrum duplex Planctonema lauterbornii Scenedesmus acutus Scenedesmus bijuga Selenastrum gracile Spirogyra majuscula Stigeoclonium sp. Tetradesmus dimorphus Treubaria triappendiculata

Publication details

Journal / source
Zenodo (CERN European Organization for Nuclear Research)
Publication date
1 January 2026
Document type
Dataset