Malaysian Medicinal Leaf Images

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

Description

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. https://doi.org/10.32890/jict2021.20.2.1

Files

Steps to reproduce

Image Preprocessing, Feature Extraction, Classifier

Institutions

Universiti Malaysia Sabah

Categories

Computer Science

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