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Data is the lifeblood of AI systems, which rely on robust datasets to learn and make predictions or decisions. For perception AI models specifically, it is essential that data reflects real-world environments and incorporates the array of scenarios. This includes edge use cases for which data is often difficult to collect, such as street traffic and manufacturing assembly lines.
Announced at GTC, technical artists, software developers, and ML engineers can now build custom, physically accurate, synthetic data generation pipelines in the cloud with NVIDIA Omniverse Replicator. Omniverse Replicator is a highly extensible framework built on the NVIDIA Omniverse platform that enables physically accurate 3D synthetic data generation to accelerate the training and accuracy of perception networks.
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