Thursday
Workshop Room 1
09:00 - 10:00
(UTC+02)
Workshop (60 min)
Part 1/2: GeoAI - From Pixels to Patterns: Image Segmentation from Aerial Imagery
At Norkart we aim to develop the best AI models for automatic mapping of objects from aerial imagery. With a wealth of already labeled objects, such as buildings, we find ourselves in a somewhat unique position - we are able to train precise Machine Learning models without the need of manually annotating data.
In this workshop you will be guided through the process of collecting training data, training machine learning models to identify objects in aerial imagery and validating those models on new regions the model hasn't seen yet. No coding experience needed. The code and environment is set up in the cloud, just bring your laptop.
Join us for an inspiring session about Machine Learning in the geospatial domain - maybe you'll learn a thing or two as well!
Malte Loller-Andersen
Malte is a passionate machine learning engineer working for Norkart, operating in the geospatial domain. Through various projects for big Norwegian companies, he has gathered in-depth knowledge about data engineering, machine learning and MLOps.
In addition to diving deep into the technicalities, Malte enjoys sharing knowledge and holding talks at various conferences. Since starting his career he has held workshops and talks at several international conferences, and he will continue doing exactly that until a global pandemic stops him. If a global pandemic even can stop him!
Mathilde Ørstavik
Mathilde is the head of AI at Norkart. She has a broad experience in applied AI, and she enjoys sharing her vision and inspiring audiences at the intersection of geospatial data and artificial intelligence.