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Springer Vieweg. <a href=\"https://doi.org/10.1007/978-3-662-66769-9_7 \">https://doi.org/10.1007/978-3-662-66769-9_7 </a>","bibtex":"@inproceedings{Gräßler_Hieb_Roesmann_Unverzagt_2023, place={Berlin, Heidelberg}, title={Creating Synthetic Training Data for Machine Vision Quality Gates}, DOI={<a href=\"https://doi.org/10.1007/978-3-662-66769-9_7 \">10.1007/978-3-662-66769-9_7 </a>}, publisher={Springer Vieweg}, author={Gräßler, Iris and Hieb, Michael and Roesmann, Daniel and Unverzagt, Marc}, editor={Lohweg, Volker}, year={2023}, pages={95–106} }","mla":"Gräßler, Iris, et al. <i>Creating Synthetic Training Data for Machine Vision Quality Gates</i>. Edited by Volker Lohweg, Springer Vieweg, 2023, pp. 95–106, doi:<a href=\"https://doi.org/10.1007/978-3-662-66769-9_7 \">10.1007/978-3-662-66769-9_7 </a>.","short":"I. Gräßler, M. Hieb, D. Roesmann, M. Unverzagt, in: V. 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Sensor and Measurement Science International (SMSI 2023), Nürnberg. <a href=\"https://doi.org/10.5162/smsi2023/p70\">https://doi.org/10.5162/smsi2023/p70</a>","short":"I. Gräßler, D. Roesmann, M. Unverzagt, J. 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