{
 "id": "NVEagle/LocateAnything-Data",
 "owner": "NVEagle",
 "name": "LocateAnything-Data",
 "downloads": 15419,
 "likes": 39,
 "last_modified": "2026-08-06T14:13:57.000Z",
 "stated_licence": null,
 "stated_from": "none",
 "licence_name": null,
 "licence_link": null,
 "file_licence": null,
 "licence_files": [],
 "sources": [],
 "gated": false,
 "tasks": [
  "object-detection"
 ],
 "citation": "@article{wang2026locateanything,\n  title={LocateAnything: Fast and high-quality vision-language grounding with parallel box decoding},\n  author={Wang, Shihao and Liu, Shilong and Kuang, Yuanguo and Wei, Xinyu and Liu, Yangzhou and Li, Zhiqi and Man, Yunze and Chen, Guo and Tao, Andrew and Liu, Guilin and others},\n  journal={arXiv preprint arXiv:2605.27365},\n  year={2026}\n}",
 "signal": "unclear",
 "reason": "The checks could not identify a recognised licence ID in the dataset's metadata."
}