Recognition of car parts in automotive supply chains by combining synthetically generated training data with classical and deep learning based image processing

Research article (Procedia CIRP, 2020) · cited 21× · AI/ML
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Recognition of car parts in automotive supply chains by combining synthetically generated training data with classical and deep learning based image processing

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Recognition of car parts in automotive supply chains by combining synthetically generated training data with classical and deep learning based image processing is a scholarly article[1].

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  • Recognition of car parts in automotive supply chains by combining synthetically generated training data with classical and deep learning based image processing's instance of is recorded as scholarly article[2].

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APA 4ort.xyz Knowledge Graph. (2026). Recognition of car parts in automotive supply chains by combining synthetically generated training data with classical and deep learning based image processing. Retrieved May 24, 2026, from https://4ort.xyz/entity/recognition-of-car-parts-in-automotive-supply-chains-by-combining-synthetically-generated-training-data-with-classical-a
MLA “Recognition of car parts in automotive supply chains by combining synthetically generated training data with classical and deep learning based image processing.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/recognition-of-car-parts-in-automotive-supply-chains-by-combining-synthetically-generated-training-data-with-classical-a.
BibTeX @misc{4ortxyz_recognition-of-car-parts-in-automotive-supply-chains-by-combining-synthetically-generated-training-data-with-classical-a_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Recognition of car parts in automotive supply chains by combining synthetically generated training data with classical and deep learning based image processing}}, year = {2026}, url = {https://4ort.xyz/entity/recognition-of-car-parts-in-automotive-supply-chains-by-combining-synthetically-generated-training-data-with-classical-a}, note = {Accessed: 2026-05-24}}
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