README.md

metadata

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

@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