{
 "id": "JunweiZheng/WildPASS",
 "owner": "JunweiZheng",
 "name": "WildPASS",
 "downloads": 144,
 "likes": 0,
 "last_modified": "2025-05-24T09:09:27.000Z",
 "stated_licence": "apache-2.0",
 "stated_from": "tag",
 "licence_name": null,
 "licence_link": null,
 "file_licence": null,
 "licence_files": [],
 "sources": [],
 "gated": false,
 "tasks": [
  "image-segmentation"
 ],
 "citation": "```text\n@inproceedings{yang2021capturing,\ntitle={Capturing Omni-Range Context for Omnidirectional Segmentation},\nauthor={Yang, Kailun and Zhang, Jiaming and Rei{\\ss}, Simon and Hu, Xinxin and Stiefelhagen, Rainer},\nbooktitle={2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},\nyear={2021}\n}\n```\n```text\n@article{yang2021context,\ntitle={Is Context-Aware CNN Ready for the Surroundings? Panoramic Semantic Segmentation in the Wild},\nauthor={Yang, Kailun and Hu, Xinxin and Stiefelhagen, Rainer},\njournal={IEEE Transactions on Image Processing},\nvolume={30},\npages={1866--1881},\nyear={2021},\npublisher={IEEE}\n}\n```",
 "signal": "permissive",
 "reason": "The declared licence (apache-2.0) is classified as permissive.",
 "revision": "5c1043560e7f41fbcdd48c60605a9fb01839ad6b",
 "stated_evidence": "https://huggingface.co/datasets/JunweiZheng/WildPASS/blob/5c1043560e7f41fbcdd48c60605a9fb01839ad6b/README.md",
 "file_evidence": "https://huggingface.co/datasets/JunweiZheng/WildPASS/tree/5c1043560e7f41fbcdd48c60605a9fb01839ad6b",
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}