{
 "id": "Voxel51/CottonWeedDet12",
 "owner": "Voxel51",
 "name": "CottonWeedDet12",
 "downloads": 9776,
 "likes": 1,
 "last_modified": "2026-07-17T19:17:27.000Z",
 "stated_licence": "cc-by-nc-4.0",
 "stated_from": "tag",
 "licence_name": null,
 "licence_link": null,
 "file_licence": null,
 "licence_files": [],
 "sources": [],
 "gated": false,
 "tasks": [
  "object-detection"
 ],
 "citation": "@article{dang2023yoloweeds,\n  title   = {YOLOWeeds: A novel benchmark of YOLO object detectors for multi-class weed detection in cotton production systems},\n  author  = {Dang, Fengying and Chen, Dong and Lu, Yuzhen and Li, Zhaojian},\n  journal = {Computers and Electronics in Agriculture},\n  volume  = {205},\n  pages   = {107655},\n  year    = {2023},\n  doi     = {10.1016/j.compag.2023.107655}\n}\n\n@dataset{lu2023cottonweeddet12,\n  title     = {CottonWeedDet12: a 12-class weed dataset of cotton production systems for benchmarking AI models for weed detection},\n  author    = {Lu, Yuzhen},\n  year      = {2023},\n  publisher = {Zenodo},\n  doi       = {10.5281/zenodo.7535814}\n}",
 "signal": "restrictive",
 "reason": "The declared licence (cc-by-nc-4.0) is classified as having use restrictions."
}