Project-AgML/USU-Corn-WeedDB_detection

Usu Corn Weeddb Detection This dataset comprises real-world RGB images capturing corn fields with various weed species. Collected directly in agricultural field environments, it provides ground-truth bounding box annotations for weed detection tasks in precision farming applications. The dataset contains 800 images with 10,539 bounding box annotations across 3 categories. This dataset is indexed on https://project-agml.github.io/ as part of the AgML python library. The original… See the full description on the dataset page: https://huggingface.co/datasets/Project-AgML/USU-Corn-WeedDB_detection.