{
 "id": "FraunhoferIOSB/SynsetSignsetSensitivityAnalysisDataset",
 "owner": "FraunhoferIOSB",
 "name": "SynsetSignsetSensitivityAnalysisDataset",
 "downloads": 116,
 "likes": 2,
 "last_modified": "2026-09-15T16:26:54.000Z",
 "stated_licence": "cc-by-4.0",
 "stated_from": "tag",
 "licence_name": null,
 "licence_link": "LICENSE",
 "file_licence": null,
 "licence_files": [],
 "sources": [],
 "gated": false,
 "tasks": [
  "image-classification"
 ],
 "citation": "<!-- If there is a paper or blog post introducing the dataset, the APA and Bibtex information for that should go in this section. -->\n\nTo cite this dataset in your scientific work, please use the following bibliography entry:\n\n**BibTeX:**\n\n    @inproceedings{sensitivity_analysis_sielemann_2026,\n      title={{Sensitivity Analysis of Deep-Learning Perception Models to Sensing Parameters}},\n      author={Sielemann, Anne and Bitzer, Niklas and Roschani, Masoud and Ziehn, Jens and Beyerer, Juergen},\n      booktitle={2026 IEEE 29th International Conference on Intelligent Transportation Systems (ITSC)},\n      year={2026}\n    }\n\n**APA:**\n\n    Sielemann, A., Bitzer, N., Roschani, M., Ziehn, J., and Beyerer, J. (2026). \n    Sensitivity Analysis of Deep-Learning Perception Models to Sensing Parameters. \n    In 2026 IEEE 29th International Conference on Intelligent Transportation Systems (ITSC).\n\nIn case of copying and redistributing, or publishing an adapted version of our dataset, please provide the name of our dataset, the creator names, a copyright notice, \na link to this website, a license notice with a link to the license, and, if changes were made, a disclaimer notice, and a short description of the applied changes. \nFor example, as follows:\n\n    This work is based on Sensitivity Analysis of Deep-Learning Perception Models to Sensing Parameters\n    by Anne Sielemann, Niklas Bitzer, Masoud Roschani, Jens Ziehn, and Juergen Beyerer,\n    © 2026 Fraunhofer IOSB, All rights reserved.\n ",
 "signal": "permissive",
 "reason": "The declared licence (cc-by-4.0) is classified as permissive.",
 "revision": "3edd8ac193714a32a19488a76fc3dc310f1e67e6",
 "stated_evidence": "https://huggingface.co/datasets/FraunhoferIOSB/SynsetSignsetSensitivityAnalysisDataset/blob/3edd8ac193714a32a19488a76fc3dc310f1e67e6/README.md",
 "file_evidence": "https://huggingface.co/datasets/FraunhoferIOSB/SynsetSignsetSensitivityAnalysisDataset/tree/3edd8ac193714a32a19488a76fc3dc310f1e67e6",
 "card_nc": false
}