---
dataset_info:
  features:
  - name: rgb
    dtype: image
  - name: bands
    dtype: binary
  - name: bands_shape
    list: int64
  - name: bands_dtype
    dtype: string
  - name: label
    dtype:
      class_label:
        names:
          '0': NoRust
          '1': Rust
  splits:
  - name: train
    num_bytes: 336062712
    num_examples: 1120
  download_size: 93392012
  dataset_size: 336062712
configs:
- config_name: default
  data_files:
  - split: train
    path: data/train-*
license: cc0-1.0
task_categories:
- image-classification
size_categories:
- 1K<n<10K
---
# Coffee Rust Multispec Classification

A dataset for image classification of Coffee Rust Multispec Classification. The dataset contains 1,120 images across 2 classes: NoRust, Rust.  
Images per class:
- NoRust: 273
- Rust: 847

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

## Citation

```bibtex
@article{arocatrujillo2025colombian,
  title={Colombian coffee tree leaves multispectral images dataset},
  author={Aroca-Trujillo, Jorge Luis and Perez-Ruiz, Alexander},
  journal={Data in Brief},
  volume={59},
  pages={111421},
  year={2025},
  publisher={Elsevier}
}
```

https://www.kaggle.com/datasets/jorgearoca/coffee-rust

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