Datasets:
File size: 1,460 Bytes
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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.* |