| --- |
| dataset_info: |
| features: |
| - name: image |
| dtype: image |
| - name: label |
| dtype: |
| class_label: |
| names: |
| '0': '0' |
| '1': '75' |
| '2': '136' |
| splits: |
| - name: train |
| num_bytes: 513958144 |
| num_examples: 1200 |
| download_size: 514177576 |
| dataset_size: 513958144 |
| 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 |
| --- |
| # Maize Nitrogen Deficiency Classification |
|
|
| A dataset for image classification of Maize leaves with varying levels of nitrogen deficiency. The dataset contains 1,200 images across 3 classes: 0, 75, 136. |
| Images per class: |
| - 0: 400 |
| - 75: 400 |
| - 136: 400 |
|
|
| This dataset is indexed on https://project-agml.github.io/ as part of the AgML python library. |
|
|
| ## Citation |
|
|
| ```bibtex |
| @article{salai2023nitrogen, |
| title={Nitrogen deficiency in maize: Annotated image classification dataset}, |
| author={Salaić, Miroslav and Novoselnik, Filip and Žarko, Ivana Podnar and Galić, Vlatko}, |
| journal={Data in Brief}, |
| volume={50}, |
| pages={109625}, |
| year={2023}, |
| publisher={Elsevier} |
| } |
| ``` |
|
|
| Galic, Vlatko; Podnar Zarko, Ivana; Novoselnik, Filip; Salaic, Miroslav (2023), “Nitrogen deficiency in maize: annotated image classification dataset”, Mendeley Data, V1, doi: 10.17632/g7xnn2bm4g.1 |
|
|
| *This dataset was reformatted from its original format to match HuggingFace standards.* |
