{
 "id": "FraunhoferIOSB/Synset-Background-Effect-Datasets",
 "owner": "FraunhoferIOSB",
 "name": "Synset-Background-Effect-Datasets",
 "downloads": 57,
 "likes": 2,
 "last_modified": "2026-04-22T07:41:40.000Z",
 "stated_licence": "cc-by-4.0",
 "stated_from": "tag",
 "licence_name": null,
 "licence_link": "LICENSE",
 "file_licence": "cc-by-4.0",
 "licence_files": [
  "LICENSE"
 ],
 "sources": [],
 "gated": false,
 "tasks": [
  "image-classification",
  "image-segmentation"
 ],
 "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{measuring_effect_of_background_sielemann_2025,\n      title={{Measuring the Effect of Background on Classification and Feature Importance in Deep Learning for AV Perception}},\n      author={Sielemann, Anne and Barner, Valentin and Wolf, Stefan and Roschani, Masoud and Ziehn, Jens and Beyerer, Juergen},\n      booktitle={2025 IEEE International Automated Vehicle Validation Conference (IAVVC)},\n      year={2025}\n    }\n\n**APA:**\n\n    Sielemann, A., Barner, V., Wolf, S., Roschani, M., Ziehn, J., and Beyerer, J. (2025). <br>\n    Measuring the Effect of Background on Classification and Feature Importance in Deep Learning for AV Perception. <br>\n    In 2025 IEEE International Automated Vehicle Validation Conference (IAVVC).\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 Measuring the Effect of Background on Classification and Feature Importance in Deep Learning for AV Perception\n    by Anne Sielem",
 "signal": "permissive",
 "reason": "The declared licence (cc-by-4.0) is classified as permissive.",
 "revision": "57f596c9bef23f4820a57090839191b8c93bf9aa",
 "stated_evidence": "https://huggingface.co/datasets/FraunhoferIOSB/Synset-Background-Effect-Datasets/blob/57f596c9bef23f4820a57090839191b8c93bf9aa/README.md",
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}