Datasets:
metadata
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
dataset_info:
- config_name: augmented
features:
- name: image
dtype: image
- name: label
dtype:
class_label:
names:
'0': Iris yellow virus
'1': Stemphylium leaf blight and collectrichum leaf blight
'2': healthy
'3': purple blotch
splits:
- name: train
num_bytes: 35805744
num_examples: 4502
download_size: 35675035
dataset_size: 35805744
- config_name: raw
features:
- name: image
dtype: image
- name: label
dtype:
class_label:
names:
'0': Iris yellow virus
'1': Stemphylium leaf blight and collectrichum leaf blight
'2': healthy
'3': purple blotch
splits:
- name: train
num_bytes: 16357262
num_examples: 815
download_size: 16364888
dataset_size: 16357262
COLD Onion Leaf Disease Classification
A dataset for disease classification of onion leaves. The dataset contains raw and augmented versions.
The raw dataset contains 815 images.
Images per class:
- Iris yellow virus: 281
- Stemphylium leaf blight and collectrichum leaf blight: 90
- healthy: 426
- purple blotch: 18
The augmented dataset contains 4,502 images.
Images per class:
- Iris yellow virus: 1,272
- Stemphylium leaf blight and collectrichum leaf blight: 1,217
- healthy: 1,278
- purple blotch: 735
This dataset is indexed on https://project-agml.github.io/ as part of the AgML python library.
Citation
@article{aishwarya2024dataset,
title={Dataset of chilli and onion plant leaf images for classification and detection},
author={Aishwarya, MP and Reddy, A Padmanabha},
journal={Data in Brief},
volume={54},
pages={110524},
year={2024},
publisher={Elsevier}
}
M P, Aishwarya; Reddy, Padmanabha (2024), “Onion dataset”, Mendeley Data, V2, doi: 10.17632/7nxxn4gj5s.2