BDMediLeaves: A leaf images dataset for Bangladeshi medicinal plants identification

Published: 26 June 2023| Version 1 | DOI: 10.17632/gk5x6k8xr5.1
Contributors:
Saiful Islam,
, siful islam siful islam, Md Mahfuzul Alam Rishad, Sayem Ahmed, Toyabur Rahman Utshow, Minhajul Islam Siam

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.

Files

Institutions

  • United International University

Categories

Computer Science Applications, Image Classification

Licence