Datasets:
File size: 1,470 Bytes
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configs:
- config_name: default
default: true
features:
- name: image
dtype: image
- name: label
dtype:
class_label:
names:
'0': ALTERNARIA LEAF SPOT
'1': HEALTHY
'2': LEAF SPOT
'3': ROSETTE
'4': RUST
license: cc-by-4.0
task_categories:
- image-classification
size_categories:
- 1K<n<10K
---
# Groundnut Leaf Disease Classification
A dataset for image classification of Groundnut Leaf Disease Classification. The dataset contains 1,720 images across 5 classes: ALTERNARIA LEAF SPOT, HEALTHY, LEAF SPOT, ROSETTE, RUST.
Images per class:
- ALTERNARIA LEAF SPOT: 450
- HEALTHY: 600
- LEAF SPOT: 450
- ROSETTE: 100
- RUST: 120
This dataset is indexed on https://project-agml.github.io/ as part of the AgML python library.
## Citation
```bibtex
@article{sasmal2024novel,
title={A novel groundnut leaf dataset for detection and classification of groundnut leaf diseases},
author={Sasmal, Buddhadev and Das, Arunita and Dhal, Krishna Gopal and Saheb, Sk Belal and Khurma, Ruba Abu and Castillo, Pedro A},
journal={Data in Brief},
volume={55},
pages={110763},
year={2024},
publisher={Elsevier}
}
```
Sasmal, Buddhadev ; Das, Arunita; Dhal, Krishna Gopal; Saheb, Belal; Abu Khurma, Ruba ; Castillo-Valdivieso, Pedro A. (2024), “A novel groundnut leaf dataset for detection and classification of groundnut leaf diseases”, Mendeley Data, V2, doi: 10.17632/x6x5jkk873.2
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