---
dataset_info:
  features:
  - name: image
    dtype: image
  - name: label
    dtype:
      class_label:
        names:
          '0': citrus_canker
          '1': citrus_greening
          '2': citrus_mealybugs
          '3': die_back
          '4': foliage_damaged
          '5': healthy_leaf
          '6': powdery_mildew
          '7': shot_hole
          '8': spiny_whitefly
          '9': yellow_dragon
          '10': yellow_leaves
  splits:
  - name: train
    num_bytes: 2923333962
    num_examples: 5813
  download_size: 3681067331
  dataset_size: 2923333962
configs:
- config_name: default
  data_files:
  - split: train
    path: data/train-*
---

# Orange Leaf Disease Classification

A dataset for disease classification of orange leaves. The dataset contains 5,813 images across 11 classes: citrus_canker, citrus_greening, citrus_mealybugs, die_back, foliage_damaged, healthy_leaf, powdery_mildew, shot_hole, spiny_whitefly, yellow_dragon, yellow_leaves.  
Images per class:
- citrus_canker: 588
- citrus_greening: 254
- citrus_mealybugs: 603
- die_back: 642
- foliage_damaged: 632
- healthy_leaf: 547
- powdery_mildew: 598
- shot_hole: 560
- spiny_whitefly: 672
- yellow_dragon: 407
- yellow_leaves: 310

This dataset is indexed on https://project-agml.github.io/ as part of the AgML python library.

## Citation

```bibtex
@article{emon2024multi,
  title={Multi-format open-source sweet orange leaf dataset for disease detection, classification, and analysis},
  author={Emon, Yousuf Rayhan and Ahad, Md Taimur and Rabbany, Golam},
  journal={Data in Brief},
  volume={55},
  pages={110713},
  year={2024},
  publisher={Elsevier}
}
```

Emon, Yousuf Rayhan; Ahad, Md Taimur; Khan, Shahrin ; Mustofa, Sumaya (2025), “Multi-format open-source sweet orange leaf dataset for disease detection, classification, and analysis.”, Mendeley Data, V2, doi: 10.17632/f7cr74mwpj.2