Datasetpublic

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.

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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 train/test/val split has been preserved in the split column.

Citation

bibtex

@article{bhandari2026usu,
  title={USU-Corn-WeedDB: A UAV RGB Image Dataset for Multi-Species Weed Detection in Forage Corn},
  author={Bhandari, Utsav and Burlakoti, Saroj and Miller, Rhonda and Young, Sierra and Westra, Eric and Etienne, Aaron},
  journal={arXiv preprint arXiv:2606.06709},
  year={2026}
}

Bhandari, U., & Etienne, A. (2026). USU-Corn-WeedDB: A UAV RGB Image Dataset for Multi-Species Weed Detection in Forage Corn [Dataset]. Zenodo. https://doi.org/10.5281/zenodo.20044178

This dataset was reformatted from its original format to match HuggingFace standards.