Datasets:
File size: 1,659 Bytes
c1a2c59 b795057 c1a2c59 b795057 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 | ---
dataset_info:
features:
- name: image
dtype: image
- name: label
dtype:
class_label:
names:
'0': Bacterial_Spot
'1': Brown_Blight
'2': Dry
'3': Healthy
'4': Powdery_Mildew
'5': Sooty_Mold
splits:
- name: train
num_bytes: 15638402894
num_examples: 2400
download_size: 15064275900
dataset_size: 15638402894
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
---
# Plum Leaf Disease Classification
A dataset for image classification of plum leaf disease. The dataset contains 2,400 images across 6 classes: Bacterial_Spot, Brown_Blight, Dry, Healthy, Powdery_Mildew, Sooty_Mold.
Images per class:
- Bacterial_Spot: 400
- Brown_Blight: 400
- Dry: 400
- Healthy: 400
- Powdery_Mildew: 400
- Sooty_Mold: 400
This dataset is indexed on https://project-agml.github.io/ as part of the AgML python library.
## Citation
```bibtex
@article{bhowmik2024customised,
title={A customised vision transformer for accurate detection and classification of Java Plum leaf disease},
author={Bhowmik, Auvick Chandra and Ahad, Md. Taimur and Emon, Yousuf Rayhan and Ahmed, Faruk and Song, Bo and Li, Yan},
journal={Smart Agricultural Technology},
volume={8},
pages={100500},
year={2024},
publisher={Elsevier}
}
```
Bhowmik, Auvick Chandra; Ahad, Taimur (2024), “Java Plum Leaf Disease Dataset”, Mendeley Data, V3, doi: 10.17632/43d75vptz4.3
*This dataset was reformatted from its original format to match HuggingFace standards.* |