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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 |