Project-AgML/mulberry_leaf_variety_classification

Mulberry Leaf Variety Classification

A dataset for variety classification of mulberry leaves. The dataset contains 5,262 images across 10 classes: BlackAustralia, BlackOodTurkey, Buriram60, ChiangMai60, ChiangMaiBuriram60, Kamphaengsaeng42, RedKing, TaiwanMeacho, TaiwanStraberry, WhiteKing.
Images per class:

• BlackAustralia: 637
• BlackOodTurkey: 500
• Buriram60: 345
• ChiangMai60: 500
• ChiangMaiBuriram60: 761
• Kamphaengsaeng42: 500
• RedKing: 350
• TaiwanMeacho: 640
• TaiwanStraberry: 488
• WhiteKing: 541

This dataset is indexed on https://project-agml.github.io/ as part of the AgML python library.

Citation

@article{choompookham2024mulberry,
  title={Mulberry leaf dataset for image classification task},
  author={Choompookham, Thipwimon and Okafor, Emmanuel and Surinta, Olarik},
  journal={Data in Brief},
  volume={54},
  pages={110281},
  year={2024},
  publisher={Elsevier}
}

Chom, thipwimon; surinta, olarik (2024), “Mulberry Leaf Dataset”, Mendeley Data, V3, doi: 10.17632/ds45yy9jrc.3