Computer Vision chapter

The Computer Vision Chapter is the ML6 special division on all things related to Computer Vision

As the ML6 special unit for computer vision, our goal is to keep in touch with the latest developments in the field and share our learnings with colleagues, customers, the open-source community, and the public at large. Some areas we are active in at the moment are:

Object Detection

Develop custom, high-performance machine learning models for detecting objects at high speed, at high resolutions, and in challenging real-world circumstances. Different use cases demand different approaches to data pre-processing, modeling, tuning and setup. 


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Video Analysis

Use object tracking across frames to support object detection and segmentation. Detect phenomena or activities that can only be recognized taking the entire stream of images into account. Video analysis presents unique challenges in terms of resource management and model architecture.



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Generative AI

Neural networks can transfer faces, poses, stylistic attributes or can generate unseen instances of faces, people, objects or even artworks based on examples.

We are only scratching the surface of the potential in generative modeling in media but also design, retail and other areas. For more information, visit gener8.ai


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Edge Vision

Processing video on edge, near the camera can reduce network traffic and increase data security. The subsidised Vlaio project Edge Video Analysis (EVA) aims to develop a high-performing solution for anonymization and re-identification on edge. Edge processing presents a number of challenges in terms of performance, architecture, ops and security.


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OUR technologies

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Experts

Arne Vandendorpe
Machine Learning Engineer
Ghent
Lucas Desard
Machine Learning Engineer
Ghent
Alexandru Balan
Machine Learning Engineer
Amsterdam
Jin Li
Machine Learning Engineer
Amsterdam
Nikhil Nagaraj
Machine Learning Engineer
Ghent
Jérémy Keusters
Machine Learning Engineer
Ghent
Thomas Janssens
Senior Machine Learning Engineer
Ghent
Tim De Smet
Machine Learning Engineer
Ghent
Caroline Adam
Customer Engineer
Ghent
Juta Staes
Squad Lead
Ghent
Jan Van Looy
Computer Vision Chapter Lead
Ghent
Jules Talloen
Machine Learning Engineer
Ghent

Interns

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