that we’ve built with our clients
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.
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 and went from 4% error rate to a much better 0.2%.
Super-resolution and removing objects in satellite images
The goal of this project was to make accesible satellite data easier to work with by removing unecessary objects and by increasing the resolution.
Detect risk and requirements in legal documents
We helped a large consulting company to automatically detect requirements in their tender process
Large scale video-search using CLIP
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.
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Scan through terabytes of photos to automatically detect damages on your physical assets
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