---
dataset_info:
  features:
  - name: image
    dtype: image
  - name: label
    dtype:
      class_label:
        names:
          '0': HLB
          '1': healthy
  splits:
  - name: train
    num_bytes: 1191138744
    num_examples: 324
  download_size: 1191169096
  dataset_size: 1191138744
configs:
- config_name: default
  data_files:
  - split: train
    path: data/train-*
license: cc-by-4.0
task_categories:
- image-classification
size_categories:
- n<1K
---
# Orange Leaf Hlb Classification

This dataset contains RGB images of orange leaves captured in a laboratory setting using multiple smartphone models. It is designed for computer vision research focused on detecting Huanglongbing disease and differentiating diseased leaves from non-diseased ones. The dataset contains 324 images across 2 classes: HLB, healthy.  
Images per class:
- HLB: 195
- healthy: 129

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

## Citation

```bibtex
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```

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*This dataset was reformatted from its original format to match HuggingFace standards.*