{
 "id": "Project-AgML/sugar_beet_weed_detection",
 "owner": "Project-AgML",
 "name": "sugar_beet_weed_detection",
 "downloads": 194,
 "likes": 0,
 "last_modified": "2026-10-07T03:40:46.000Z",
 "stated_licence": "cc-by-4.0",
 "stated_from": "tag",
 "licence_name": null,
 "licence_link": null,
 "file_licence": null,
 "licence_files": [],
 "sources": [],
 "gated": false,
 "tasks": [
  "object-detection"
 ],
 "citation": "@article{palva2024assessment,\n  title={Assessment of the Performance of a Field Weeding Location-Based Robot Using YOLOv8},\n  author={Palva, Reetta and Kaila, Eerikki and García-Pascual, Borja and Bloch, Victor},\n  journal={Agronomy},\n  volume={14},\n  pages={2215},\n  year={2024},\n  publisher={MDPI}\n}",
 "signal": "permissive",
 "reason": "The declared licence (cc-by-4.0) is classified as permissive.",
 "revision": "0eb2cefa3b373ce11a38a3522df16897e54e4878",
 "stated_evidence": "https://huggingface.co/datasets/Project-AgML/sugar_beet_weed_detection/blob/0eb2cefa3b373ce11a38a3522df16897e54e4878/README.md",
 "file_evidence": "https://huggingface.co/datasets/Project-AgML/sugar_beet_weed_detection/tree/0eb2cefa3b373ce11a38a3522df16897e54e4878",
 "card_nc": false
}