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Internship: deep learning on aerial imagery

Readar

Readar was founded in 2016 and extracts all kind of information from aerial imagery. To do this we combine remote sensing with machine learning. Our customer base is very diverse: from grid operator to insurance companies. The knowledge we extract from our data has a strong environmental impact: as representative examples, we map solar panels to support the sustainable energy revolution and we help municipalities in banning asbestos. We combine the dynamics of a start-up with the professionalism of our established customers! The internship assignment is part of our international expansion plan.

About you and the project:

Readar has developed deep learning algorithms to: 1. Automatically identify buildings and 2. Generate 3D models for these buildings. Both use aerial imagery as input. The algorithms work well, but the results of the individual models are relatively rough.

Your focus within this project is on combining both algorithms: we expect the accuracy for both algorithms to strongly improve if we use them in tandem. A big set of trainingdata is available.

To make this a success you need:

  • to be enthusiastic about this assignment.
  • a “can be done mentality”, you really like to tackle this challenge.
  • Programming experience in Python
  • Experience with a deep learning library like Tensorflow.

If you do not already have experience in deep learning please state this clearly in your application, we have another assignment available.

For questions or applications please contact Erik Heeres: erikheeres@readar.com