Picterra university
Welcome to Picterra University
Looking for a comprehensive course on Picterra and the underlying Machine Learning and Earth Observation concepts ?
We’ve got you covered and prepared a comprehensive course covering the full Machine Learning lifecycle with Picterra, from data labelling to using models in production. Increase your productivity, reduce cost and extend your portfolio of services to better serve your clients.
Note that the course requires an active Picterra subscription.
our university
Why should you choose Picterra University?
1 1 1
Module
Earth observation & the Geospatial domain – Core Concepts and Applications
2 2 2
Module
Machine Learning – Core Concepts and Applications
3 3 3
Module
Diving into the Picterra platform – Imagery and Account Basics
4 4 4
Module
Training your first detector
5 5 5
Module
Running your detector and managing results
6 6 6
Module
Advanced features
7 7 7
Module
Picterra API & Python library
8 8 8
Module
Third party tools (QGIS and Tableau)
9 9 9
Module
Case studies
10 10 10
Module
Now it’s your turn!
our team
About Picterra and instructors
Frank de Morsier
COO & Co-Founder
Frank received the BSc degree in Electrical Engineering and the MSc degree in Information Technology with a Minor in Space Technologies from the EPFL, Switzerland, ranked as world’s 12th and Europe 2nd best engineering university. He holds a PhD in machine learning applied to remote sensing imagery from the EPFL-LTS5 and worked in the private industry in the field of remote sensing image processing since 2014. He is also lecturer of the “Image Processing for Earth Observation” master course at EPFL. He has an extensive practical and theoretical knowledge of machine learning and pattern recognition for image processing. Co-founder and CTO of Picterra, his focus is on the development and applications of machine learning algorithms for multitemporal and multisensors image analysis, with a special emphasis on approaches allowing to upscale processing chains while keeping end-user interactions within the loop.
Julien Rebetez
Chief Technology Officer
Julien received the MSc degree in Information and Communication Technologies from the University of Applied Science Western Switzerland (HES-SO) in 2012. After an internship at Google during his studies, he worked for 4 years as a R&D engineer focused on Machine Learning at HEIG-VD, working on a number of remote sensing data analysis projects.
In 2016, he joined MindMaze as a Senior Software Engineer working on a range of technologies from low-level C++ to Unity 3D games. He joined Picterra in 2018 where he works on the Picterra Platform, both on Software Architecture and on the underlying Machine Learning. He has also contributed to a number of machine learning / data science open source projects and is generally interested about the latest findings in Deep Learning research.
Roger Fong
Lead Machine Learning Engineer
Roger received his B.Sc degree in Computer Science from Brown University in Providence, RI, USA in 2012. After graduating he was hired as a full-time software engineer at Apple headquarters in Cupertino, California from 2012 to 2015 where he worked on the open source WebKit framework. He finished his EPFL Master degree in Computer Science with a minor in Micro Engineering by performing a combined internship/master thesis at Picterra in association with the Computer Vision Lab from EPFL. He is now Computer Vision engineer at Picterra and focuses on the application of Machine Learning algorithms on remote sensing imagery. He has worked primarily with deep learning models and is particularly interested in image recognition and object detection applications.