Clark Dorman, Chief Engineer at Next Century Corporation, presents the "Using Synthetic Image Generation to Reduce the Cost of Vision Algorithm Development" tutorial within the "Algorithm Development Techniques and Tools" technical session at the October 2013 Embedded Vision Summit East.

One of the greatest challenges in developing computer vision applications is the development and maintenance of high-quality training and testing data. Annotated data that covers the range of object variations, poses, and environmental situations is needed to ensure that a system will perform successfully in operational situations. However, obtaining sufficient data is time consuming and expensive. The Synthetic Image Generation Harness for Training and Testing (SIGHTT) project creates annotated images by combining rendered 3D objects with real backgrounds. This talk discusses the use of synthetic data and its generation, combined with live data, to alleviate the data problem.

Here you’ll find a wealth of practical technical insights and expert advice to help you bring AI and visual intelligence into your products without flying blind.



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