Synthetic-to-real composite semantic segmentation in additive manufacturing

A set of labeled images of printed products at various stages of their production, used for training neural networks for semantic segmentation of manufactured parts and their structural elements.

Data and Resources

Cite this as

Aliaksei Petsiuk, Harnoor Singh, Himanshu Dadhwal, Joshua M. Pearce (2024). Dataset: Synthetic-to-real composite semantic segmentation in additive manufacturing. https://doi.org/10.57702/1j6gie8i

DOI retrieved: December 16, 2024

Additional Info

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Created December 16, 2024
Last update December 16, 2024
Author Aliaksei Petsiuk
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Harnoor Singh
Himanshu Dadhwal
Joshua M. Pearce
Homepage https://osf.io/h8r45