{
 "id": "Yunncheng/Mirage-Test",
 "owner": "Yunncheng",
 "name": "Mirage-Test",
 "downloads": 8823,
 "likes": 3,
 "last_modified": "2025-12-04T03:40:43.000Z",
 "stated_licence": "mit",
 "stated_from": "tag",
 "licence_name": null,
 "licence_link": null,
 "file_licence": null,
 "licence_files": [],
 "sources": [],
 "gated": false,
 "tasks": [
  "image-classification"
 ],
 "citation": "@article{guo2025omniaid,\n  title={OmniAID: Decoupling Semantic and Artifacts for Universal AI-Generated Image Detection in the Wild},\n  author={Guo, Yuncheng and Ye, Junyan and Zhang, Chenjue and Kang, Hengrui and Fu, Haohuan and He, Conghui and Li, Weijia},\n  journal={arXiv preprint arXiv:2511.08423},\n  year={2025}\n}",
 "signal": "permissive",
 "reason": "The declared licence (mit) is classified as permissive.",
 "revision": "820a191bb0844ae74a1bd9eb57b28268257a4053",
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}