Synthetic dataset generation for object-to-model deep learning in industrial applications
The availability of large image data sets has been a crucial factor in the success of deep learning-based classification and detection methods. Yet, while data sets for everyday objects are widely available, data for specific industrial use-cases (e.g., identifying packaged products in a warehouse)...
Main Authors: | Matthew Z. Wong, Kiyohito Kunii, Max Baylis, Wai Hong Ong, Pavel Kroupa, Swen Koller |
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Format: | Article |
Language: | English |
Published: |
PeerJ Inc.
2019-10-01
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Series: | PeerJ Computer Science |
Subjects: | |
Online Access: | https://peerj.com/articles/cs-222.pdf |
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