---
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