Bridging AI and the Physical World: Running Earth Observation Models at Scale with RasterFlow

Analyzing large scale, complex imagery data can be a daunting process. Now, with just a few lines of code, Wherobots RasterFlow streamlines this entire workflow to simplify preparation of imagery and large scale raster inference.

Join this upcoming webinar as we discuss: 

• How RasterFlow works and why you should use it
• Earth Observation Models that you can run out of the box, including:

• • Field Boundary Segmentation (Fields of the World)
  • Canopy Height Estimation (Meta/WRI Canopy Height)
  • Rural Road Segmentation (ChesapeakeRSC)
  • Sidewalk Segmentation (Tile2Net)
  • Or, bring your own PyTorch models

• Mosaicking and inference in RasterFlow
• Vector post-processing in WherobotsDB
• A live demo of model inference at scale with RasterFlow

This session is perfect for anyone who is working with raster data in agritech, insurance, climate tech, energy, or data teams who need to extract insights from satellite and aerial imagery.

Missed the session? Get the recording.