Project-AgML/sorghum_weed_classification

Sorghum Weed Classification

A dataset for weed classification in sorghum fields. The dataset contains 4,312 images across 3 classes: BroadLeafWeed, Grass, Sorghum.
Images per class:

• BroadLeafWeed: 1,441
• Grass: 1,467
• Sorghum: 1,404

This dataset is indexed on https://project-agml.github.io/ as part of the AgML python library.

Citation

@article{justina2024sorghumweeddataset_classification,
  title={SorghumWeedDataset\_Classification and SorghumWeedDataset\_Segmentation datasets for classification, detection, and segmentation in deep learning},
  author={Justina, Michael J and Thenmozhi, M},
  journal={Data in brief},
  volume={52},
  pages={109935},
  year={2024},
  publisher={Elsevier}
}

Michael, Justina; M, Thenmozhi (2023), “SorghumWeedDataset_Classification”, Mendeley Data, V1, doi: 10.17632/4gkcyxjyss.1