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.
All blogs by Nikolaj Buhl

CVPR 2023: Most Anticipated Papers [Encord Community Edition]
5 m

Mean Average Precision in Object Detection
How To Use Encord’s Bitmask Brush Tool

Meta Training Inference Accelerator (MTIA) Explained
6 m

Medical Image Segmentation: A Complete Guide
4 m

Data, Label, & Model Quality Metrics in Encord
4 m

How to Find and Fix Label Errors
12 m

39 Computer Vision Terms You Should Know
15 m

The Full Guide to Foundation Models

How to Scale Data Labeling Operations
4 m
SegGPT: Segmenting everything in context [Explained]
10 m

Top 5 Data Curation Tools for Video
5 m

How to Diagnose and Improve Annotation Performance: Deep-Dive on Metrics, Workflows, and Quality

Encord Unveils Organization Analytics: Turn Your Data Operations Into Strategic Advantage

Encord Workshop: Introduction to Workflows & The Foundations of Active Learning
60 m

Encord Releases New Physical AI Suite with LiDAR Support

Top 10 Multimodal Use Cases
Best Image Annotation Tools for Computer Vision of 2024 Compared [Updated]

Complete Guide to Open Source Data Annotation

Announcing the launch of Advanced Video Curation
2 m

What Is Synthetic Data Generation and Why Is It Useful
6 m

The Full Guide to Embeddings in Machine Learning
6 m
ImageBind MultiJoint Embedding Model from Meta Explained
5 m

A Guide to Building a Sudoku Solver CV Project
8 m

Training vs. Fine-tuning: What is the Difference?
5 m

Introduction to Semantic Segmentation
7 Best Data Curation Tools for Computer Vision of 2024

Guide to Image Segmentation in Computer Vision: Best Practices
15 m

Top 10 Open Source Computer Vision Repositories
8 m

Introduction to Multimodal Deep Learning

Logistic Regression: Definition, Use Cases, Implementation
8 m

Mastering Supervised Learning: A Comprehensive Guide
8 m

Human-in-the-Loop Machine Learning (HITL) Explained
4 m

10 Best Multimodal Annotation Tools 2025
8 m

Guide to Vision-Language Models (VLMs)

Top Video Annotation Tools for Robotics in 2025

Meta AI's Segment Anything Model (SAM) Explained: The Ultimate Guide
6 m

Scale AI Alternatives: Why AI Teams Choose Encord
8 m

Introduction to Balanced and Imbalanced Datasets in Machine Learning
8 m

6 Best Outlier Detection Tools in Computer Vision
7 m

18 Best Image Annotation Tools for Computer Vision [Updated 2026]
10 m

Training, Validation, Test Split for Machine Learning Datasets
4 m

How to Automate Data Labeling [Examples + Tutorial]
4 m
Top 10 Best AI Avatar Generators for Video in 2024

Top 8 Video Annotation Tools for Computer Vision [Updated 2026]
4 m

Top 10 Multimodal Datasets

Activation Functions in Neural Networks: With 15 examples

YOLO Object Detection Explained: Evolution, Algorithm, and Applications
7 m

Convolutional Neural Networks (CNN) Overview
4 m

Full Guide to Contrastive Learning
8 m

F1 Score in Machine Learning
8 m

Model Inference in Machine Learning
6 m

PPE Detection Using Computer Vision for Workplace Safety

Structured Vs. Unstructured Data: What is the Difference?
8 m

5 Best V7 Alternatives in 2025

Top Alternatives to Labelbox

Mastering Data Cleaning & Data Preprocessing
6 m

VGG Image Annotator Alternatives in 2025

A Complete Guide to Text Annotation

Google’s MediaPipe Framework: Deploy Computer Vision Pipelines with Ease

Top Text Annotation Tools in 2025: Features, Collaboration, and Industry Applications
10 m

How To Mitigate Bias in Machine Learning Models
4 m

How to Use OpenCV With Tesseract for Real-Time Text Detection
10 m

Time Series Predictions with RNNs
6 m

Image Thresholding in Image Processing

OpenAI’s DALL-E 3 Explained: Generate Images with ChatGPT

KL Divergence in Machine Learning
3 m

Guide to Reinforcement Learning from Human Feedback (RLHF) for Computer Vision

An Introduction to Diffusion Models for Machine Learning

AGV vs. AMRs for Warehouse Automation: What's the Key Difference?