Ground Truth

Physical AI news and engineering for real-world data

Product news, research, and build notes from Wherobots, the Context Engine for Physical World Data.

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Yulin Naval Base in Satellite Imagery: AI-Assisted Vessel Counts

We ran six Vantor satellite images of Yulin Naval Base on Hainan through Wherobots RasterFlow and SAM3, then measured and checked every large detection.

13 Mins Read 12 Oct 2026

Yulin Naval Base in Satellite Imagery: AI-Assisted Vessel Counts

We ran six Vantor satellite images of Yulin Naval Base on Hainan through Wherobots RasterFlow and SAM3, then measured and checked every large detection.

Computer Vision + 3

7 Mins Read 15 Sep 2026

RasterFlow is now available in Public Preview

RasterFlow makes planetary-scale earth intelligence workflows easy and costs predictable. We are excited to announce that RasterFlow is now in Public Preview, opening up the power of planetary scale Earth Intelligence to all Wherobots Professional Edition customers! RasterFlow let’s you solve complex monitoring challenges with vision-language models or tailored models for specific use cases, without […]

Computer Vision + 4

8 Mins Read 28 May 2026

How well does SAM3 detect building footprints? We asked the Wherobots Spatial AI Coding Assistant

In a recent post, we showed how easy it is to use RasterFlow and Meta’s Segment Anything 3 Model (SAM3) to detect features in the physical world. A single end-to-end pipeline built a 133 GB NAIP mosaic of Marion County, Oregon, ran SAM3 against it with text prompts spanning eight classes, and produced approximately one […]

Computer Vision + 3

18 Mins Read 6 May 2026

Change Detection Using AlphaEarth Foundations (Part 2)

Change detection with AlphaEarth Foundations measures how a place changes over time directly in embedding space, without hand-built spectral indices. This post scores temporal change using leave-one-out medoid distance and robust z-scoring per pixel, then runs it at scale on RasterFlow with a Colorado demonstration. The output flags where the landscape shifted and how strongly, ready to vectorize into geometries in WherobotsDB.

Computer Vision + 3