Datasets:
File size: 2,354 Bytes
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dataset_info:
- config_name: augmented
features:
- name: image
dtype: image
- name: label
dtype:
class_label:
names:
'0': Boron
'1': Calcium
'2': Healthy
'3': Iron
'4': Magnesium
'5': Manganese
'6': Potassium
'7': Sulphur
'8': Zinc
splits:
- name: train
num_bytes: 357205515
num_examples: 12747
download_size: 281381623
dataset_size: 357205515
- config_name: raw
features:
- name: image
dtype: image
- name: label
dtype:
class_label:
names:
'0': Boron
'1': Calcium
'2': Healthy
'3': Iron
'4': Magnesium
'5': Manganese
'6': Potassium
'7': Sulphur
'8': Zinc
splits:
- name: train
num_bytes: 96869063
num_examples: 5348
download_size: 95966968
dataset_size: 96869063
configs:
- config_name: augmented
data_files:
- split: train
path: augmented/train-*
- config_name: raw
default: true
data_files:
- split: train
path: raw/train-*
license: cc-by-4.0
task_categories:
- image-classification
size_categories:
- 1K<n<10K
---
# Banana Leaf Nutrient Classification
A dataset for classification of Banana leaf nutrient deficiencies. The dataset contains raw and augmented versions.
The raw dataset contains 5,348 images.
Images per class:
- Boron: 173
- Calcium: 794
- Healthy: 1,584
- Iron: 151
- Magnesium: 288
- Manganese: 24
- Potassium: 381
- Sulphur: 1,240
- Zinc: 713
The augmented dataset contains 12,747 images.
Images per class:
- Boron: 1,384
- Calcium: 1,588
- Healthy: 1,586
- Iron: 1,359
- Magnesium: 1,440
- Manganese: 1,200
- Potassium: 1,524
- Sulphur: 1,240
- Zinc: 1,426
This dataset is indexed on https://project-agml.github.io/ as part of the AgML python library.
## Citation
```bibtex
@article{sunitha2023fully,
title={A fully labelled image dataset of banana leaves deficient in nutrients},
author={Sunitha, P and Uma, B and Channakeshava, S and Suresh Babu, CS},
journal={Data in Brief},
volume={48},
pages={109155},
year={2023},
publisher={Elsevier}
}
```
p, sunitha; B, Uma; Babu C S, Suresh ; S, Channakeshava (2025), “Images of Nutrient Deficient Banana Plant Leaves”, Mendeley Data, V2, doi: 10.17632/7vpdrbdkd4.2 |