Developers of machine-learning based computer vision applications often face difficulties obtaining sufficient data for training and evaluating models. In this talk, we explore the use of synthetic data techniques to overcome these challenges. We explain the “simulation-to-reality” gap and the […]
In this presentation, we introduce the essential aspects of training convolutional neural networks (CNNs). We discuss the prerequisites for training, including models, data and training frameworks, with an emphasis on the characteristics of data needed for effective training. We explore […]
Attaining the lowest power, size and cost for a smart camera requires carefully matching the hardware to the actual application requirements. General-purpose media processors may appear attractive and easy to use, but often include unneeded features which increase system size, […]
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