Project-AgML/coffee_rust_multispec_classification

1---2dataset_info:3  features:4  - name: rgb5    dtype: image6  - name: bands7    dtype: binary8  - name: bands_shape9    list: int6410  - name: bands_dtype11    dtype: string12  - name: label13    dtype:14      class_label:15        names:16          '0': NoRust17          '1': Rust18  splits:19  - name: train20    num_bytes: 33606271221    num_examples: 112022  download_size: 9339201223  dataset_size: 33606271224configs:25- config_name: default26  data_files:27  - split: train28    path: data/train-*29license: cc0-1.030task_categories:31- image-classification32size_categories:33- 1K<n<10K34---35# Coffee Rust Multispec Classification36 37A dataset for image classification of Coffee Rust Multispec Classification. The dataset contains 1,120 images across 2 classes: NoRust, Rust.  38Images per class:39- NoRust: 27340- Rust: 84741 42This dataset is indexed on https://project-agml.github.io/ as part of the AgML python library.43 44## Citation45 46```bibtex47@article{arocatrujillo2025colombian,48  title={Colombian coffee tree leaves multispectral images dataset},49  author={Aroca-Trujillo, Jorge Luis and Perez-Ruiz, Alexander},50  journal={Data in Brief},51  volume={59},52  pages={111421},53  year={2025},54  publisher={Elsevier}55}56```57 58https://www.kaggle.com/datasets/jorgearoca/coffee-rust59 60*This dataset was reformatted from its original format to match HuggingFace standards.*