Project-AgML/MH_SoyaHealthVision_disease_classification_uav

MH SoyaHealthVision Disease Classification UAV A dataset for disease classification of soybean leaves. The dataset contains 2,842 images across 4 classes: Healthy, Mosaic, Rust, Semilooper_Pest.Images per class: Healthy: 280 Mosaic: 772 Rust: 1,000 Semilooper_Pest: 790 This dataset is indexed on https://project-agml.github.io/ as part of the AgML python library. Citation @article{shinde2025indian, title={An Indian UAV and leaf image dataset for integrated crop… See the full description on the dataset page: https://huggingface.co/datasets/Project-AgML/MH_SoyaHealthVision_disease_classification_uav.