BDMediLeaves

This dataset focused on six medicinal plants ( Phyllanthus Emblica, Terminalia Arjuna, Kalanchoe Pinnata, Centella Asiatica, Justicia Adhatoda and Mikania Micrantha ) based in Bangladesh. All the leaves images were taken separately by iPhone 13. The purpose of image augmentation was to expand the dataset's size and mitigate the risk of overfitting during the training and validation of the model. "BDMediLeaves" dataset have two subfolders one is non-augmented another one is augmented. In non-augmented folder there are six different sub folders which are named by six different medicinal plant species and these subfolders have also three subfolders “train”, “test”, “validation”.

THIS DATASET IS ARCHIVED AT DANS/EASY, BUT NOT ACCESSIBLE HERE. TO VIEW A LIST OF FILES AND ACCESS THE FILES IN THIS DATASET CLICK ON THE DOI-LINK ABOVE

Identifier
DOI https://doi.org/10.17632/t9rns2gmr3.1
PID https://nbn-resolving.org/urn:nbn:nl:ui:13-9y-hqdb
Metadata Access https://easy.dans.knaw.nl/oai?verb=GetRecord&metadataPrefix=oai_datacite&identifier=oai:easy.dans.knaw.nl:easy-dataset:298107
Provenance
Creator Islam, S
Publisher Data Archiving and Networked Services (DANS)
Contributor Saiful Islam
Publication Year 2023
Rights info:eu-repo/semantics/openAccess; License: http://creativecommons.org/licenses/by/4.0; http://creativecommons.org/licenses/by/4.0
OpenAccess true
Representation
Resource Type Dataset
Discipline Other