Davy Neven
Founder at trainYOLO
Leuven, Flemish Brabant, Belgium
Summary
👤
Senior🎓
Top SchoolDavy Neven is a founder and computer vision researcher with 11 years of experience building real-time perception systems and commercial SaaS for vision workflows. He holds a PhD from KU Leuven where he worked on semantic and instance segmentation and multi-task learning for autonomous driving under Prof. Luc Van Gool, and translated that research into products like Segments.ai, trainYOLO and consulting firm ml4vision. His work focuses on 2D vision algorithms, model-in-the-loop labeling, and practical deployment of object detection pipelines that speed annotation and inference. Comfortable moving between research and product, he repeatedly turns cutting-edge segmentation and detection techniques into developer-friendly platforms that cut labeling effort and accelerate model iteration. Based in Leuven, he blends deep academic roots with hands-on startup execution and a track record of shipping tools that make vision teams more productive.
11 years of coding experience
5 years of employment as a software developer
Phd researcher, Phd researcher at KU LeuvenMaster of Engineering (M.Eng.), Electrical and Electronics Engineering, Master of Engineering (M.Eng.), Electrical and Electronics Engineering at Katholieke Hogeschool Limburgwetenschappen-wiskunde, wetenschappen-wiskunde at VIIO humaniora tongerenMaster of Engineering (M.Eng.), Electrical, Electronics and Communications Engineering, Master of Engineering (M.Eng.), Electrical, Electronics and Communications Engineering at Katholieke Universiteit Leuven
Stackoverflow
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Github Skills (35)
bandwidth10
image-classification9
hub9
pytorch9
python9
machine-learning9
pose-estimation9
instance-segmentation9
segmentation9
cli9
clustering9
yolov89
object-detection9
computer-vision9
yolov58
Programming languages (3)
Github contributions (5)
trainyolo/trainyolo-py
Jan 2023 - Jun 2024
sdk & cli for trainyolo platform
Contributions:20 releases, 1 review, 23 pushes in 1 year 5 months
davyneven/SpatialEmbeddings
Jun 2019 - Jul 2021
Instance Segmentation by Jointly Optimizing Spatial Embeddings and Clustering Bandwidth
Contributions:4 commits, 2 pushes, 1 branch in 2 years
spatialembeddingsbandwidthclusteringspatial-embeddings
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