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Project-AgML/maize_tomato_weed_classification

Maize Tomato Weed Classification A dataset for classification of weeds and crops in maize and tomato fields. The dataset contains 55,828 images across 12 classes:Images per class: atriplex: 2,459 chenopodium: 3,375 convolvulus: 2,302 cyperus: 3,215 datura: 1,271 lolium: 1,063 maize: 25,273 portulaca: 2,052 salsola: 2,409 solanum: 4,084 sorghum: 1,703 tomato: 6,622 This dataset is indexed on https://project-agml.github.io/ as part of the AgML python library.… See the full description on the dataset page: https://huggingface.co/datasets/Project-AgML/maize_tomato_weed_classification.

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Maize Tomato Weed Classification

A dataset for classification of weeds and crops in maize and tomato fields. The dataset contains 55,828 images across 12 classes: Images per class:

—atriplex: 2,459
—chenopodium: 3,375
—convolvulus: 2,302
—cyperus: 3,215
—datura: 1,271
—lolium: 1,063
—maize: 25,273
—portulaca: 2,052
—salsola: 2,409
—solanum: 4,084
—sorghum: 1,703
—tomato: 6,622

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

Citation

bibtex

@article{mesias2025drone,
  title={Drone imagery dataset for early-season weed classification in maize and tomato crops},
  author={Mes{\'\i}as-Ruiz, Gustavo A and Pe{\~n}a, Jos{\'e} M and de Castro, Ana I and Dorado, Jos{\'e}},
  journal={Data in Brief},
  volume={58},
  pages={111203},
  year={2025},
  publisher={Elsevier}
}

Mesías-Ruiz, G. A., Peña Barragán, J. M., Castro, A. I. D., & Dorado, J. (2024). DIWEED: Drone Imagery dataset for early-season WEED classification [Data set]. DIGITAL.CSIC. http://doi.org/10.20350/DIGITALCSIC/16559

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