BDMediLeaves
Published: 2 June 2023| Version 1 | DOI: 10.17632/t9rns2gmr3.1
Contributors:
Saiful Islam, , , , Minhajul Islam Siam, , Description
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”.
Files
Institutions
United International University
Categories
Computer Science, Computer Vision, Biologicals, Image Classification