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)...

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Bibliographic Details
Main Authors: Matthew Z. Wong, Kiyohito Kunii, Max Baylis, Wai Hong Ong, Pavel Kroupa, Swen Koller
Format: Article
Language:English
Published: PeerJ Inc. 2019-10-01
Series:PeerJ Computer Science
Subjects:
Online Access:https://peerj.com/articles/cs-222.pdf