NVIDIA Isaac Sim On Omniverse – Synthetic Data for Perception Model Training
June 10, 2021
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1:20Now PlayingNVIDIA Isaac Sim On Omniverse – Synthetic Data for Perception Model Training
YouTube Description
as posted by the channelTraining perception models requires large and diverse datasets. Assembling these datasets can be costly, timeconsuming, and even dangerous for certain corner cases. By leveraging the synthetic data generation capabilities of Isaac Sim, developers can bootstrap the training task. This video highlights Isaac Sim’s support for domain randomization which allows for random changes in texture, colors, lighting, and placement. The video also showcase the different types of data including bounding boxes, depth, and segmentation that can be generated from the simulation environment.
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