nextml

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

Similar applications

You can use the exact same solution to do super-resolution or in-painting for another domain, such as fashion. Just replace the dataset with the images you want.

If you have something similar in mind, schedule a meeting, and let’s talk!

other projects

Unsupervised segmentation of satellite images

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

Detect diseases in blood samples from cats and dogs

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

Detecting damages on railroad infrastructure

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

Text recognition in factories for a large manufacturer

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%.

Super-resolution and removing objects in satellite images