Malaysian Medicinal Leaf Images

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.

Metadata Access
Creator Sainin, M (via Mendeley Data)
Publisher Data Archiving and Networked Services (DANS)
Contributor Mohd Shamrie Sainin
Publication Year 2021
Rights info:eu-repo/semantics/openAccess; License:;
OpenAccess true
Resource Type Dataset
Discipline Other