Students Contribute to Open Source Projects During Azavea Fellowship Program

The Azavea Fellowship Program is a 12 week summer session during which students looking to grow their software engineering skills work with experienced mentors to contribute to Azavea open source projects.

Yoni Nachmany works on an open source project during the Azavea Fellowship Program

This summer, 4 fellows are working at our Philadelphia office:

Annie Zhao, Swarthmore College

Annie is working on the open source Azavea framework Raster Vision for doing deep learning on satellite and aerial imagery.

Xunze (Aaron) Su, University of Pennsylvania

Aaron is working on an Aerial Imagery Labelling UI for Raster Foundry, which will allow users to create labels for supervised machine learning on imagery.

Yoni Nachmany, University of Pennsylvania

Yoni is working on integrating image labeling predictions from Raster Vision into the GeoTrellis library and demonstrating the new functionality on the SpaceNet dataset.

Yun Shi, University of Pennsylvania

Yun is working on the front end of Raster Vision to monitor and collect data on machine learning jobs.

You can find more information about each project by following the links above.

We also welcome contributions to our open source projects! Have an idea for an improvement or additional feature? Find us on Github.