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Frederik Hvilshøj

Frederik Hvilshøj

Frederik is the Machine Learning Lead at Encord. He has an extensive computer vision and deep learning background and has completed a Ph.D. in Explainable Deep Learning and Generative Models at Aarhus University, and published research in Efficient Counterfactuals from Invertible Neural Networks and Back-propagation through Fréchet Inception Distance. Before his P.hD., Frederik studied for an M.Sc. in computer science while being a teaching assistant for "Introduction to databases" and "Pervasive computing and Software Architecture."

Frederik enjoys spending time with his two kids in his spare time and occasionally goes for long hikes around his hometown in the west of Denmark.

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All blogs by Frederik Hvilshøj

sampleImage_automated-data-annotation-guide
Data Operations
The Full Guide to Automated Data Annotation
Frederik Hvilshøj
sampleImage_an-introduction-to-balanced-and-imbalanced-datasets-in-machine-learning
Machine Learning
Introduction to Balanced and Imbalanced Datasets in Machine Learning
Frederik Hvilshøj
sampleImage_pros-cons-synthetic-training-data
Computer Vision
The Advantages and Disadvantages of Synthetic Training Data
Frederik Hvilshøj
sampleImage_synthetic-training-data-guide
Computer Vision
An Introduction to Synthetic Training Data
Frederik Hvilshøj
sampleImage_self-supervised-learning
Computer Vision
Self-supervised Learning Explained
Frederik Hvilshøj
sampleImage_best-datasets-for-machine-learning
Computer Vision
Best Datasets for Computer Vision [Industry breakdown]
Frederik Hvilshøj
sampleImage_an-introduction-to-active-learning-in-machine-learning
Data Quality
Active Learning in Machine Learning [Guide & Strategies]
Frederik Hvilshøj
sampleImage_build-data-labeling-ops
Data Operations
5 Strategies To Build Successful Data Labeling Operations
Frederik Hvilshøj
sampleImage_one-shot-learning-guide
Computer Vision
What is One-Shot Learning in Computer Vision
Frederik Hvilshøj
sampleImage_data-cleaning-computer-vision-guide
Data Quality
How to Clean Data for Computer Vision
Frederik Hvilshøj
sampleImage_quality-metric-guide
Introduction to Quality Metrics
Frederik Hvilshøj
sampleImage_visual-foundation-models-vfms-explained
Computer Vision
Visual Foundation Models (VFMs) Explained
Frederik Hvilshøj
sampleImage_evaluate-training-data-pipelines-guide
Data Operations
4 Questions to Ask When Evaluating Training Data Pipelines
Frederik Hvilshøj
sampleImage_video-annotation-guide
Data Operations
The Full Guide to Video Annotation for Computer Vision
Frederik Hvilshøj
sampleImage_low-code-no-code-computer-vision-tools
Data Operations
How to Use Low-Code and No-Code Tools for Computer Vision
Frederik Hvilshøj