Synthetic Data for Deep Learning

Synthetic Data for Deep Learning discusses fundamental computer vision problems, both low-level and high-level, synthetic environments and datasets for outdoor and urban scenes (i.e. autonomous driving), indoor scenes (i.e. indoor navigation), aerial navigation, and simulation environments for robotics. Additionally, it touches upon applications of synthetic data outside computer vision. 


“This is the first book on synthetic data for deep learning, and its breadth of coverage may render this book as the default reference on synthetic data for years to come.” 

– Springer, Publisher

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