Rendered.ai is streamlining synthetic data for GIS digital twins
Satellite imagery promises to play an essential role in creating digital twins that could help model carbon emissions, increase farming yields and monitor the oceans.
However, much of this data, in the form of multispectral imagery, lidar, and radar data, is outside the realm of typical human experience, which makes it hard for humans to make sense of and label data for training better artificial intelligence (AI). Rendered.ai hopes to fill this gap by combining its synthetic data workflow platform with new geographic information systems (GIS) industry partnerships.
If you’re interested in learning exactly how Rendered.ai plans to streamline synthetic data for GIS digital twins, check out the full VentureBeat article!
👉Read the article: https://hubs.li/Q01fbrz-0
