Leaf Dataset

Leaf Image Dataset

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Abstract: 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.

Dataset information

• Number of Instances: 65

• Number of Attributes: -

• Number of Classes: 5

• Associated Tasks: Classification

Relevant Papers

• Mohd Shamrie Sainin, Rayner Alfred, Suraya Alias and Mohamed A.M., Lammasha. (2018) Feature Selection and Ensemble Meta Classifier for Multiclass Imbalance Data Learning. In: Knowledge Management International Conference (KMICe) 2018, 25 –27 July 2018, Miri Sarawak, Malaysia.

• Sainin M.S., Alfred R., Adnan F., Ahmad F. (2018) Combining Sampling and Ensemble Classifier for Multiclass Imbalance Data Learning. In: Alfred R., Iida H., Ag. Ibrahim A., Lim Y. (eds) Computational Science and Technology. ICCST 2017. Lecture Notes in Electrical Engineering, vol 488. Springer, Singapore

• Mohd Shamrie Sainin, Rayner Alfred, Faudziah Ahmad, Mohamed A.M. Lammasha (2017). An Evaluation of Feature Selection methods on Multi-Class Imbalance and High Dimensionality Shape-Based Leaf Images Features. Journal of Telecommunication Electronic and Computer Engineering. 9(1-2) 57-61.

• Mohd Shamrie Sainin, Faudziah Ahmad and Rayner Alfred. (2016). Comparison of Half and Full-leaf Feature Extraction for Malaysian Medicinal Leaf Identification and Classification (Extended Version), Revista Tecnica de la Facultad de Ingenieria Universidad del Zulia, Vol 39(9), 31-39.

• Mohd Shamrie Sainin, and Rayner Alfred. (2014). Feature Selection for Malaysian Medicinal Plant Leaf Shape Identification and Classification. Proceedings of the International Conference on Computational Science and Technology – 2014 (ICCST’14), IEEE, pp 1-6.

• Mohd Shamrie Sainin, Taqiah Khadijah Ghazali and Rayner Alfred. (2014). Malaysian Medicinal Plant Leaf Shape Identification and Classification. In proceeding of: Knowledge Management International Conference and Exhibition 2014, Langkawi, Malaysia, Vol 2, pp. 578-583. (ISBN: 978-983-2078-92-0).

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