BDMediLeaves: A leaf images dataset for Bangladeshi medicinal plants identification
Published: 26 June 2023| Version 1 | DOI: 10.17632/gk5x6k8xr5.1
Contributors:
, , siful islam siful islam, , , , Description
The dataset comprises of a total of 2,029 original leaf images of ten unique categories of commonly found medicinal plants in Bangladesh, including Phyllanthus Emblica, Kalanchoe Pinnata, Centella Asiatica, Mikania Micrantha, Azadirachta indica, Hibiscus rosa-sinensis, Terminalia Arjuna, Ocimum tenuiflorum, Justicia Adhatoda, and Calotropis gigantea. In addition 38,606 augmented images are also provided to train larger and deeper deep neural networks.
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Institutions
United International University
Categories
Computer Science Applications, Image Classification