Project-AgML/GYMNSA_pear_rust_detection
GYMNSA Pear Rust Detection A dataset for object detection of pear rust on leaevs. The dataset contains 746 images with 16,251 bounding box annotations across 1 category. This dataset is indexed on https://project-agml.github.io/ as part of the AgML python library. Citation @article{mass2025annotated, title={Annotated image dataset with different stages of European pear rust for UAV-based automated symptom detection in orchards}, author={Ma{\ss}, Virginia and… See the full description on the dataset page: https://huggingface.co/datasets/Project-AgML/GYMNSA_pear_rust_detection.
GYMNSA Pear Rust Detection
A dataset for object detection of pear rust on leaevs. The dataset contains 746 images with 16,251 bounding box annotations across 1 category.
This dataset is indexed on https://project-agml.github.io/ as part of the AgML python library.
Citation
@article{mass2025annotated,
title={Annotated image dataset with different stages of European pear rust for UAV-based automated symptom detection in orchards},
author={Ma{\ss}, Virginia and Alirezazadeh, Pendar and Seidl-Schulz, Johannes and Leipnitz, Matthias and Fritzsche, Eric and Ibraheem, Rasheed Ali Adam and Geyer, Martin and Pflanz, Michael and Reim, Stefanie},
journal={Data in Brief},
volume={58},
pages={111271},
year={2025},
publisher={Elsevier}
}Maß, Virginia; Alirezazadeh, Pendar; Seidl-Schulz, Johannes; Leipnitz, Matthias; Fritzsche, Eric; Ibraheem, Rasheed Ali Adam; Geyer, Martin; Pflanz, Michael; Reim, Stefanie (2024), “GYMNSA dataset”, Mendeley Data, V1, doi: 10.17632/44kjgc4gkc.1