Existing data sets for evaluating algorithms for detecting, classifying, and tracking pedestrians and cyclists only contain optical imagery. Even in these evaluation data sets, there is no independent ...

As large medical imaging datasets become widely available, researchers are increasingly turning to artificial intelligence to extract useful information from scans that were never manually annotated.

Suggested Citation: "Ground Truth: Corona Landmarks." National Academy of Sciences. 2019. Ground Truth: Corona Landmarks. Washington, DC: The National Academies Press. In this series of images of what ...

Julie Anand and Damon Sauer, “Calibration Mark AD48 with Satellites,” from Ground Truth: Corona Landmarks (courtesy the artists) Strange colossal shapes dot the Sonoran Desert in Arizona, x-shaped ...

In a blog post today detailing its Ground Truth data collection program for Google Maps, Google announced some new features rolling out to users in Taiwan, Russia and Malaysia. As part of the Ground ...

The company’s high-fidelity multi-body dynamics solver targets the data quality bottleneck at the core of robot learning — ...

It takes massive amounts of data to train AI models. But sometimes, that data simply isn’t available from real-world sources, so data scientists use synthetic data to make up for that. In machine ...

Back in 2008, the Google Maps team launched Ground Truth, a project that aims to bring together all of the potential mapping data Google has and local volunteers to build the most accurate maps it can ...