Datasets:
File size: 1,367 Bytes
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dataset_info:
features:
- name: image
dtype: image
- name: label
dtype:
class_label:
names:
'0': healthy
'1': infected
splits:
- name: train
num_bytes: 654819164
num_examples: 2321
download_size: 709587508
dataset_size: 654819164
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
---
# Fig Leaf Ficus Worm Classification
A dataset for disease classification of fig leaves with Ficus worms. The dataset contains 2,321 images across 2 classes: healthy, infected.
Images per class:
- healthy: 971
- infected: 1,350
This dataset is indexed on https://project-agml.github.io/ as part of the AgML python library.
## Citation
```bibtex
@article{hafi2024image,
title={Image dataset of healthy and infected fig leaves with Ficus leaf worm},
author={Hafi, Saad Jabir and Mohammed, Mohammed Abdallazez and Abd, Dhafar Hamed and Alaskar, Haya and Alharbe, Nawaf R and Ansari, Sam and Aliesawi, Salah A and Hussain, Abir Jaafar},
journal={Data in Brief},
volume={53},
pages={109958},
year={2024}
}
```
Hafi, Saad; Mohammed Abdallazez, Mohammed; Hamed , Dhafar; Alaskar, Haya; Hussain, Abir (2023), “fig leaves dataset”, Mendeley Data, V2, doi: 10.17632/f7dk2yknff.2 |