{
 "id": "STL-Yonsei/RASMD",
 "owner": "STL-Yonsei",
 "name": "RASMD",
 "downloads": 125,
 "likes": 4,
 "last_modified": "2026-10-12T03:16:15.000Z",
 "stated_licence": "cc-by-nc-sa-4.0",
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 "licence_name": null,
 "licence_link": null,
 "file_licence": null,
 "licence_files": [
  "LICENCE"
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 "sources": [],
 "gated": "auto",
 "tasks": [
  "image-to-image",
  "object-detection",
  "translation"
 ],
 "citation": "@article{JIN2026RASMD,\n  title = {RASMD: RGB and SWIR multispectral driving dataset for robust perception in adverse conditions},\n  journal = {Information Fusion},\n  volume = {128},\n  pages = {103872},\n  year = {2026},\n  issn = {1566-2535},\n  doi = {10.1016/j.inffus.2025.103872},\n  url = {https://www.sciencedirect.com/science/article/pii/S1566253525009340},\n  author = {Youngwan Jin and Michal Kovac and Yagiz Nalcakan and Incheol Park and Sanghyeop Yeo and Hyeongjin Ju and Shiho Kim},\n  keywords = {SWIR, Dataset, Multi-spectral, Infrared, Autonomous driving, Image fusion, Super-resolution, Object detection, Image translation}\n  }",
 "signal": "restrictive",
 "reason": "The declared licence (cc-by-nc-sa-4.0) is classified as having use restrictions.",
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}