{
 "id": "Voxel51/CropAndWeed",
 "owner": "Voxel51",
 "name": "CropAndWeed",
 "downloads": 13683,
 "likes": 3,
 "last_modified": "2026-07-08T21:51:20.000Z",
 "stated_licence": "other",
 "stated_from": "tag",
 "licence_name": "cropandweed-non-commercial",
 "licence_link": "https://github.com/cropandweed/cropandweed-dataset/blob/main/LICENCE",
 "file_licence": null,
 "licence_files": [],
 "sources": [],
 "gated": false,
 "tasks": [
  "object-detection",
  "image-segmentation"
 ],
 "citation": "@InProceedings{Steininger_2023_WACV,\n    author    = {Steininger, Daniel and Trondl, Andreas and Croonen, Gerardus and Simon, Julia and Widhalm, Verena},\n    title     = {The CropAndWeed Dataset: A Multi-Modal Learning Approach for Efficient Crop and Weed Manipulation},\n    booktitle = {Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision (WACV)},\n    month     = {January},\n    year      = {2023},\n    pages     = {3729-3738}\n}",
 "signal": "restrictive",
 "reason": "The dataset card's licence name or licence section contains wording that suggests non-commercial, research-only or academic-only use restrictions."
}