Malaysian Medicinal Leaf Images

Published: 10 September 2021| Version 1 | DOI: 10.17632/23tkrk7h4z.1
Mohd Shamrie Sainin


Leaf images sample for Malaysian Medicinal Plant classification. Previous study using this dataset are using randomly selected training (45 images) and testing (20 images). Images are pre-processed and numeric values using shape-based features are extracted. Preliminary study using several classifiers such as SMO, J48, NB, k-NN and Random Forest show that SMO produced 50% accuracy. Citation Request Sainin, M. S., & Alfred, R., & Ahmad, F. (2021). Ensemble meta classifier with sampling and feature selection for data with imbalance multiclass problem. Journal of Information and Communication Technology, 20(2), 103-133.


Steps to reproduce

Image Preprocessing, Feature Extraction, Classifier