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Deep learning based approach for digitized herbarium specimen segmentation
Authors:Triki  Abdelaziz  Bouaziz  Bassem  Mahdi  Walid  Hamed  Hamdi  Gaikwad  Jitendra
Affiliation:1.MIRACL Laboratory Sfax, University of Sfax, Sfax, Tunisia
;2.Friedrich Schiller University, Jena, Germany
;
Abstract:Multimedia Tools and Applications - As herbarium specimens are largely digitized and freely available in online portals, botanists aim to examine their taxonomic aspects to identify the plant...
Keywords:
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