TorchGeo with Caleb Robinson

In this video, Robin catches up with Caleb discuss TorchGeo, which is a PyTorch library similar to torchvision, but providing datasets, samplers, transforms, and pre-trained models specific to geospatial data. The goal of TorchGeo is to make it easier for machine learning experts to work with geospatial data, and for remote sensing experts to explore machine learning solutions.

- https://github.com/microsoft/torchgeo
- https://www.linkedin.com/in/calebrob6/
- https://twitter.com/calebrob6

To learn more about deep learning applied to satellite & aerial imagery head to https://www.satellite-image-deep-learning.com/

Bio: Caleb is a Research Scientist in the Microsoft AI for Good Research Lab. His work focuses on tackling large scale problems at the intersection of remote sensing and machine learning/computer vision. Some of the projects he works on include: estimating land cover, poultry barns, solar panels, and cows from high-resolution satellite imagery. Caleb is interested in research topics that facilitate using remotely sensed imagery more effectively.

Logo animation and thumbnail credits: Mikolaj Czerkawski @mikonvergence

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