Recognition of additive manufacturing parts based on neural networks and synthetic training data: A generalized end-to-end workflow
Published: 23 October 2023| Version 1 | DOI: 10.17632/trd8nry345.1
Contributor:
Jonas ConradDescription
This depository contains the test set for the article "Recognition of additive manufacturing parts based on neural networks and synthetic training data: A generalized end-to-end workflow". It is made up of real part images to test the generalized end-to-end workflow. The subfolder names include the class information.
Files
Institutions
inspire AG, Eidgenossische Technische Hochschule Zurich
Categories
Image Classification