Synthetic Image Data for Deep Learning

Realistic synthetic image data rendered from 3D models can be used to augment image sets and train image classification semantic segmentation models. In this work, we explore how high quality physically-based rendering and domain randomization can efficiently create a large synthetic dataset based o...

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Hauptverfasser:	Anderson, Jason W, Ziolkowski, Marcin, Kennedy, Ken, Apon, Amy W
Format:	Artikel
Sprache:	eng
Schlagworte:	Computer Science - Computer Vision and Pattern Recognition Computer Science - Learning
Online-Zugang:	Volltext bestellen
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