Project-AgML/RoCoLe_disease_detection

RoCoLe Disease Detection A dataset for detection of Robusta coffee leaf diseases. The dataset contains 1,560 images with 1,560 bounding box annotations across 6 categories, as well as segmentation masks. This dataset is indexed on https://project-agml.github.io/ as part of the AgML python library. Citation @article{parraga2019rocole, title={RoCoLe: A robusta coffee leaf images dataset for evaluation of machine learning based methods in plant diseases… See the full description on the dataset page: https://huggingface.co/datasets/Project-AgML/RoCoLe_disease_detection.