Rendered.ai has integrated many best-in-class simulators onto it’s no-code synthetic data engineering platform to help engineers to effectively generate and use synthetic training data in AI programs.
Rochester Institute of Technology’s Digital Imaging and Remote Sensing Image Generation (DIRSIG™) Model is already available in the Rendered.ai PaaS to more easily simulate highly physically accurate electro-optical (EO), infrared (IR), hyperspectral (HSI), and multispectral (MSI) data, supporting remote sensing systems.
This video shows you how to use the DIRSIG simulation tool in synthetic data generation workflows on the Rendered.ai platform, using our sample “DIRSIG Remote Sensing” workspace as an example. Use content code “DIRSIGDEMO” anytime to access & experiment with the content from this example when you log onto the platform.
