Project-AgML/maize_nitrogen_deficiency_classification

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

@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.