Machine Learning

Our assignment was to develop an algorithm that segments satellite images into distinct areas based on vegetation without any labeled training data.

Together with Infranord and Trafikverket, we’ve developed machine learning algorithms for detecting damages on railroad infrastructure.

We helped our customer to improve their solution for reading text in images specialized to their environment and went from 4% error rate to a much better 0.2%.

The goal of this project was to make accesible satellite data easier to work with by removing unecessary objects and by increasing the resolution.

Together with one of the largest veterinarian companies, we developed algorithms for detecting specific diseases in blood samples.

Using new advancements in connecting text and images, we helped a large media production company implement effective video search without the need for meta-data.