{
 "id": "Project-AgML/tree_crown_segmentation",
 "owner": "Project-AgML",
 "name": "tree_crown_segmentation",
 "downloads": 63,
 "likes": 0,
 "last_modified": "2026-09-16T00:27:05.000Z",
 "stated_licence": "cc-by-4.0",
 "stated_from": "tag",
 "licence_name": null,
 "licence_link": null,
 "file_licence": null,
 "licence_files": [],
 "sources": [],
 "gated": false,
 "tasks": [
  "image-segmentation"
 ],
 "citation": "@article{peng2026uav,\n  title={UAV-based two-stage deep learning for tree crown segmentation and height estimation in Camellia oleifera plantations},\n  author={Peng, Yongkang and Yan, Enping and Xu, Xiaocheng and Mo, Dengkui and Wei, Wei},\n  journal={Ecological Informatics},\n  volume={96},\n  pages={103868},\n  year={2026},\n  publisher={Elsevier}\n}",
 "signal": "permissive",
 "reason": "The declared licence (cc-by-4.0) is classified as permissive.",
 "revision": "bd56c710c07f895c2fef2cfc4215e338d8e1dd6f",
 "stated_evidence": "https://huggingface.co/datasets/Project-AgML/tree_crown_segmentation/blob/bd56c710c07f895c2fef2cfc4215e338d8e1dd6f/README.md",
 "file_evidence": "https://huggingface.co/datasets/Project-AgML/tree_crown_segmentation/tree/bd56c710c07f895c2fef2cfc4215e338d8e1dd6f",
 "card_nc": false
}