Project-AgML/DIMPSAR_medicinal_plant_classification

Dimpsar Medicinal Plant Classification

A dataset for variety classification of medicinal plants. The dataset contains 5,945 images across 40 classes:
Images per class:

• Aloevera: 164
• Amla: 146
• Amruta_Balli: 146
• Arali: 146
• Ashoka: 146
• Ashwagandha: 146
• Avacado: 146
• Bamboo: 146
• Basale: 146
• Betel: 151
• Betel_Nut: 146
• Brahmi: 146
• Castor: 160
• Curry_Leaf: 146
• Doddapatre: 146
• Ekka: 146
• Ganike: 115
• Gauva: 146
• Geranium: 146
• Henna: 150
• Hibiscus: 165
• Honge: 146
• Insulin: 146
• Jasmine: 187
• Lemon: 146
• Lemon_grass: 146
• Mango: 146
• Mint: 153
• Nagadali: 152
• Neem: 146
• Nithyapushpa: 146
• Nooni: 146
• Pappaya: 146
• Pepper: 146
• Pomegranate: 146
• Raktachandini: 146
• Rose: 168
• Sapota: 146
• Tulasi: 146
• Wood_sorel: 146

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

Citation

@article{pushpa2023dimpsar,
  title={DIMPSAR: Dataset for Indian medicinal plant species analysis and recognition},
  author={Pushpa, BR and Rani, N Shobha},
  journal={Data in Brief},
  volume={49},
  pages={109388},
  year={2023},
  publisher={Elsevier}
}

B R, Pushpa; Rani, Shobha (2023), “Indian Medicinal Leaves Image Datasets”, Mendeley Data, V3, doi: 10.17632/748f8jkphb.3