README.md

---
dataset_info:
  features:
  - name: image
    dtype: image
  - name: label
    dtype:
      class_label:
        names:
          '0': Aloevera
          '1': Amla
          '2': Amruthaballi
          '3': Arali
          '4': Astma_weed
          '5': Badipala
          '6': Balloon_Vine
          '7': Bamboo
          '8': Beans
          '9': Betel
          '10': Bhrami
          '11': Bringaraja
          '12': Caricature
          '13': Castor
          '14': Catharanthus
          '15': Chakte
          '16': Chilly
          '17': Citron lime (herelikai)
          '18': Coffee
          '19': Common rue(naagdalli)
          '20': Coriender
          '21': Curry
          '22': Doddpathre
          '23': Drumstick
          '24': Ekka
          '25': Eucalyptus
          '26': Ganigale
          '27': Ganike
          '28': Gasagase
          '29': Ginger
          '30': Globe Amarnath
          '31': Guava
          '32': Henna
          '33': Hibiscus
          '34': Honge
          '35': Insulin
          '36': Jackfruit
          '37': Jasmine
          '38': Kambajala
          '39': Kasambruga
          '40': Kohlrabi
          '41': Lantana
          '42': Lemon
          '43': Lemongrass
          '44': Malabar_Nut
          '45': Malabar_Spinach
          '46': Mango
          '47': Marigold
          '48': Mint
          '49': Neem
          '50': Nelavembu
          '51': Nerale
          '52': Nooni
          '53': Onion
          '54': Padri
          '55': Palak(Spinach)
          '56': Papaya
          '57': Parijatha
          '58': Pea
          '59': Pepper
          '60': Pomoegranate
          '61': Pumpkin
          '62': Raddish
          '63': Rose
          '64': Sampige
          '65': Sapota
          '66': Seethaashoka
          '67': Seethapala
          '68': Spinach1
          '69': Tamarind
          '70': Taro
          '71': Tecoma
          '72': Thumbe
          '73': Tomato
          '74': Tulsi
          '75': Turmeric
          '76': ashoka
          '77': camphor
          '78': kamakasturi
          '79': kepala
  splits:
  - name: train
    num_bytes: 9989663974
    num_examples: 6900
  download_size: 9484082641
  dataset_size: 9989663974
configs:
- config_name: default
  data_files:
  - split: train
    path: data/train-*
license: cc-by-4.0
task_categories:
- image-classification
size_categories:
- 1K<n<10K
---

# DIMPSAR Medicinal Leaf Classification

A dataset for variety classification of medicinal plant leaves. The dataset contains 6,900 images across 80 classes: 
Images per class:
- Aloevera: 118
- Amla: 67
- Amruthaballi: 91
- Arali: 89
- Astma_weed: 82
- Badipala: 76
- Balloon_Vine: 61
- Bamboo: 118
- Beans: 97
- Betel: 114
- Bhrami: 104
- Bringaraja: 73
- Caricature: 76
- Castor: 129
- Catharanthus: 134
- Chakte: 68
- Chilly: 69
- Citron lime (herelikai): 99
- Coffee: 83
- Common rue(naagdalli): 67
- Coriender: 115
- Curry: 168
- Doddpathre: 142
- Drumstick: 56
- Ekka: 81
- Eucalyptus: 80
- Ganigale: 75
- Ganike: 63
- Gasagase: 79
- Ginger: 82
- Globe Amarnath: 81
- Guava: 128
- Henna: 80
- Hibiscus: 118
- Honge: 113
- Insulin: 89
- Jackfruit: 110
- Jasmine: 49
- Kambajala: 59
- Kasambruga: 48
- Kohlrabi: 73
- Lantana: 76
- Lemon: 123
- Lemongrass: 8
- Malabar_Nut: 51
- Malabar_Spinach: 79
- Mango: 103
- Marigold: 93
- Mint: 135
- Neem: 132
- Nelavembu: 90
- Nerale: 62
- Nooni: 72
- Onion: 92
- Padri: 73
- Palak(Spinach): 149
- Papaya: 135
- Parijatha: 66
- Pea: 47
- Pepper: 8
- Pomoegranate: 75
- Pumpkin: 92
- Raddish: 40
- Rose: 106
- Sampige: 61
- Sapota: 44
- Seethaashoka: 47
- Seethapala: 114
- Spinach1: 67
- Tamarind: 176
- Taro: 69
- Tecoma: 69
- Thumbe: 74
- Tomato: 62
- Tulsi: 177
- Turmeric: 39
- ashoka: 81
- camphor: 66
- kamakasturi: 67
- kepala: 76

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

## Citation

```bibtex
@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