Datasets:

Project-AgML
/

banana_leaf_nutrient_classification

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

@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