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Project-AgML/tea_leaf_disease_pest_detection

181 downloads in 30 days0 likesLast modified 29 Sep 2026View on Hugging Face

Permissive or share-alike

The declared licence (cc-by-4.0) is classified as permissive.

Declared licence: cc-by-4.0, from the tagEvidence: README.md at 00021fe
Licence files: No licence file at the top level of the repositoryEvidence: file list at 00021fe
Declared sources: None listed in the card metadata
Access gated on Hugging Face: No

Each cell links to what was checked: a file, a file list or a Hub record.

Tasks

object-detection

Citation text from the card

@article{lyu2026spatial,
  title={Spatial-aware lightweight network for real-time tea disease detection: A coordinate attention-enhanced YOLOv8n approach with path-decoupling strategy},
  author={Lyu, Xiang and Yu, Yue and Song, ChengLei},
  journal={PLOS One},
  volume={21},
  pages={e0354583},
  year={2026},
  publisher={Public Library of Science}
}

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dataset_licence({ "id": "Project-AgML/tea_leaf_disease_pest_detection" })
signal: "permissive"
stated_licence: "cc-by-4.0"
sources: 0