Datasets:

Project-AgML
/

three_season_weed_detection

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Three Season Weed Detection

A dataset for object detection of Three Season Weed Detection. The dataset contains 8,436 images with 27,963 bounding box annotations across 10 categories.

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

Citation

@article{deng2025weed,
  title={Weed image augmentation by ControlNet-added stable diffusion for multi-class weed detection},
  author={Deng, Boyang and Lu, Yuzhen},
  journal={Computers and Electronics in Agriculture},
  volume={232},
  pages={110123},
  year={2025},
  publisher={Elsevier}
}

Lu, Y. (2025). 3SeasonWeedDet10: a three-season, 10-class dataset for benchmarking AI models for robust weed detection [Dataset]. Zenodo. https://doi.org/10.5281/zenodo.14861516

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

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