Author

Nikolaj Buhl

Nikolaj is a Product Manager at Encord and a computer vision enthusiast. At Encord he oversees the development of Encord Active. Nikolaj holds a M.Sc. in Management from London Business School and Copenhagen Business School. In a previous life, he lived in China working at the Danish Embassy in Beijing, assisting Danish businesses in entering the Chinese market. He contributes writings on topics related to Computer Vision and model evaluation.

Nikolaj Buhl

All blogs by Nikolaj Buhl

sampleImage_webinar-workshop-workflows-and-active-learning
Encord Workshop: Introduction to Workflows & The Foundations of Active Learning

60 m

sampleImage_physical-ai-suite
Encord Releases New Physical AI Suite with LiDAR Support
sampleImage_organization-analytics
Encord Unveils Organization Analytics: Turn Your Data Operations Into Strategic Advantage
sampleImage_multimodal-use-cases
Top 10 Multimodal Use Cases
sampleImage_top-5-data-curation-tools-for-video
Top 5 Data Curation Tools for Video

5 m

sampleImage_medical-image-segmentation
Medical Image Segmentation: A Complete Guide

4 m

sampleImage_computer-vision-terms
39 Computer Vision Terms You Should Know

15 m

sampleImage_scale-data-labeling-operations
How to Scale Data Labeling Operations

4 m

sampleImage_9-best-image-annotation-tools-for-computer-vision-of-202311
Best Image Annotation Tools for Computer Vision of 2024 Compared [Updated]
sampleImage_best-open-source-annotation-tools
Complete Guide to Open Source Data Annotation
sampleImage_data-quality-metrics
Data, Label, & Model Quality Metrics in Encord

4 m

sampleImage_find-and-fix-label-errors-guide
How to Find and Fix Label Errors

12 m

sampleImage_bit-mask-brush-tool-with-encord
How To Use Encord’s Bitmask Brush Tool
sampleImage_video-data-management
Announcing the launch of Advanced Video Curation

2 m

sampleImage_synthetic-data-generation
What Is Synthetic Data Generation and Why Is It Useful

6 m

sampleImage_embeddings-machine-learning
The Full Guide to Embeddings in Machine Learning

6 m

sampleImage_foundation-models
The Full Guide to Foundation Models
sampleImage_seggpt-segment-everything-in-context-explainer
SegGPT: Segmenting everything in context [Explained]

10 m

sampleImage_imagebind-embedding-model-explained
ImageBind MultiJoint Embedding Model from Meta Explained

5 m

sampleImage_sudoku-solver-cv-project
A Guide to Building a Sudoku Solver CV Project 

8 m

sampleImage_cvpr-2023-papers-computer-vision
CVPR 2023: Most Anticipated Papers [Encord Community Edition]

5 m

sampleImage_mean-average-precision-object-detection
Mean Average Precision in Object Detection
sampleImage_meta-ai-chip-mtia-explained
Meta Training Inference Accelerator (MTIA) Explained

6 m

sampleImage_guide-to-contrastive-learning
Full Guide to Contrastive Learning

8 m

sampleImage_f1-score-in-machine-learning
F1 Score in Machine Learning

8 m

sampleImage_top-video-annotation-tools-for-robotics-in-2025
Top Video Annotation Tools for Robotics in 2025
sampleImage_scale-alternatives
Scale AI Alternatives: Why AI Teams Choose Encord

8 m

sampleImage_top-multimodal-annotation-tools
10 Best Multimodal Annotation Tools 2025

8 m

sampleImage_model-inference-in-machine-learning
Model Inference in Machine Learning

6 m

sampleImage_best-image-annotation-tools
18 Best Image Annotation Tools for Computer Vision [Updated 2025]

10 m

sampleImage_ppe-detection-using-computer-vision
PPE Detection Using Computer Vision for Workplace Safety
sampleImage_what-is-structured-data-and-unstructured-data
Structured Vs. Unstructured Data: What is the Difference?

8 m

sampleImage_top-tools-for-outlier-detection-in-computer-vision
6 Best Outlier Detection Tools in Computer Vision

7 m

sampleImage_yolo-object-detection-guide
YOLO Object Detection Explained: Evolution, Algorithm, and Applications

7 m

sampleImage_v7-alternatives
5 Best V7 Alternatives in 2025
sampleImage_labelbox-alternatives
Top Alternatives to Labelbox
sampleImage_data-cleaning-data-preprocessing
Mastering Data Cleaning & Data Preprocessing

6 m

sampleImage_vgg-image-annotator-via-alternatives
VGG Image Annotator Alternatives in 2025
sampleImage_top-10-multimodal-datasets
Top 10 Multimodal Datasets
sampleImage_guide-to-text-annotation
A Complete Guide to Text Annotation
sampleImage_multimodal-learning-guide
Introduction to Multimodal Deep Learning
sampleImage_google-mediapipe
Google’s MediaPipe Framework: Deploy Computer Vision Pipelines with Ease
sampleImage_automate-data-labeling-tutorial
How to Automate Data Labeling [Examples + Tutorial]

4 m

sampleImage_best-data-curation-tools-guide
7 Best Data Curation Tools for Computer Vision of 2024
sampleImage_top-text-annotation-tools-in-2024
Top Text Annotation Tools in 2025: Features, Collaboration, and Industry Applications

10 m

sampleImage_image-segmentation-for-computer-vision-best-practice-guide
Guide to Image Segmentation in Computer Vision: Best Practices

15 m

sampleImage_train-val-test-split
Training, Validation, Test Split for Machine Learning Datasets

4 m

sampleImage_reducing-bias-machine-learning
How To Mitigate Bias in Machine Learning Models

4 m

sampleImage_segment-anything-model-explained
Meta AI's Segment Anything Model (SAM) Explained: The Ultimate Guide

6 m

sampleImage_human-in-the-loop-ai
Human-in-the-Loop Machine Learning (HITL) Explained

4 m

sampleImage_ai-avatar-generator
Top 10 Best AI Avatar Generators for Video in 2024
sampleImage_vision-language-models-guide
Guide to Vision-Language Models (VLMs)
sampleImage_guide-to-semantic-segmentation
Introduction to Semantic Segmentation
sampleImage_best-video-annotation-tools
Top 8 Video Annotation Tools for Computer Vision [Updated 2024]

4 m

sampleImage_realtime-text-recognition-with-tesseract-using-opencv
How to Use OpenCV With Tesseract for Real-Time Text Detection

10 m

sampleImage_time-series-predictions-with-recurrent-neural-networks
Time Series Predictions with RNNs

6 m

sampleImage_training-vs-fine-tuning
Training vs. Fine-tuning: What is the Difference?

5 m

sampleImage_image-thresholding-image-processing
Image Thresholding in Image Processing
sampleImage_openai-dall-e-3-what-we-know-so-far
OpenAI’s DALL-E 3 Explained: Generate Images with ChatGPT
sampleImage_convolutional-neural-networks-explained
Convolutional Neural Networks (CNN) Overview

4 m

sampleImage_kl-divergence-in-machine-learning
KL Divergence in Machine Learning

3 m

sampleImage_guide-to-rlhf
Guide to Reinforcement Learning from Human Feedback (RLHF) for Computer Vision
sampleImage_diffusion-models
An Introduction to Diffusion Models for Machine Learning
sampleImage_an-introduction-to-balanced-and-imbalanced-datasets-in-machine-learning
Introduction to Balanced and Imbalanced Datasets in Machine Learning

8 m

sampleImage_agv-vs-amr-for-warehouse-automation
AGV vs. AMRs for Warehouse Automation: What's the Key Difference?
sampleImage_open-source-computer-vision-repositories
Top 10 Open Source Computer Vision Repositories

8 m

sampleImage_mastering-supervised-learning-a-comprehensive-guide
Mastering Supervised Learning: A Comprehensive Guide

8 m

sampleImage_what-is-logistic-regression
Logistic Regression: Definition, Use Cases, Implementation

8 m

sampleImage_activation-functions-neural-networks
Activation Functions in Neural Networks: With 15 examples
sampleImage_neurolabs-customer-story
sampleImage_neurolabs-customer-story
CustomersModel EvaluationRetail & E-Commerce
Improving Synthetic Data Generation with Encord Active