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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
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