Project-AgML/medicinal_plant_classification_bd

Medicinal Plant Classification Bd

This dataset contains real RGB images of medicinal plants native to Bangladesh, captured in a controlled laboratory environment. Images were collected using handheld smartphones during the summer months (July to August), providing a diverse and standardized representation of plant specimens under consistent lighting and background conditions. The dataset contains 5,000 images across 10 classes: Bohera, Devilbackbone, Haritoki, Lemongrass, Nayontara, Neem, Pathorkuchi, Thankuni, Tulsi, Zenora.
Images per class:

• Bohera: 500
• Devilbackbone: 500
• Haritoki: 500
• Lemongrass: 500
• Nayontara: 500
• Neem: 500
• Pathorkuchi: 500
• Thankuni: 500
• Tulsi: 500
• Zenora: 500

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

The original train/test/val split has been preserved in the split column.

Citation

@article{borkatulla2023bangladeshi,
  title={Bangladeshi medicinal plant dataset},
  author={Borkatulla, Bijly and Ferdous, Jannatul and Uddin, Abdul Hasib and Mahmud, Prince},
  journal={Data in Brief},
  volume={48},
  pages={109211},
  year={2023},
  publisher={Elsevier}
}

Bijly Borkatullah, Jannatul Ferdous, Abdul Hasib Uddin, and Prince Mahmud. (2022). Medicinal Plant Raw [Dataset]. Kaggle. https://doi.org/10.34740/KAGGLE/DSV/4510170

This dataset was reformatted from its original format to match HuggingFace standards.