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

Encord Releases New Physical AI Suite with LiDAR Support

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

Top 10 Multimodal Use Cases

Top 5 Data Curation Tools for Video
5 m

Medical Image Segmentation: A Complete Guide
4 m

39 Computer Vision Terms You Should Know
15 m

How to Scale Data Labeling Operations
4 m

Best Image Annotation Tools for Computer Vision of 2024 Compared [Updated]

Complete Guide to Open Source Data Annotation

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

How to Find and Fix Label Errors
12 m

How To Use Encord’s Bitmask Brush Tool

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

The Full Guide to Foundation Models

SegGPT: Segmenting everything in context [Explained]
10 m

ImageBind MultiJoint Embedding Model from Meta Explained
5 m

A Guide to Building a Sudoku Solver CV Project
8 m

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

Mean Average Precision in Object Detection

Meta Training Inference Accelerator (MTIA) Explained
6 m

Full Guide to Contrastive Learning
8 m

F1 Score in Machine Learning
8 m

Top Video Annotation Tools for Robotics in 2025

Scale AI Alternatives: Why AI Teams Choose Encord
8 m

10 Best Multimodal Annotation Tools 2025
8 m

Model Inference in Machine Learning
6 m

18 Best Image Annotation Tools for Computer Vision [Updated 2025]
10 m

PPE Detection Using Computer Vision for Workplace Safety

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

6 Best Outlier Detection Tools in Computer Vision
7 m

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

5 Best V7 Alternatives in 2025

Top Alternatives to Labelbox

Mastering Data Cleaning & Data Preprocessing
6 m

VGG Image Annotator Alternatives in 2025

Top 10 Multimodal Datasets

A Complete Guide to Text Annotation

Introduction to Multimodal Deep Learning

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

How to Automate Data Labeling [Examples + Tutorial]
4 m

7 Best Data Curation Tools for Computer Vision of 2024

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

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

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

How To Mitigate Bias in Machine Learning Models
4 m

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

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

Top 10 Best AI Avatar Generators for Video in 2024

Guide to Vision-Language Models (VLMs)

Introduction to Semantic Segmentation

Top 8 Video Annotation Tools for Computer Vision [Updated 2024]
4 m

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

Time Series Predictions with RNNs
6 m

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

Image Thresholding in Image Processing

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

Convolutional Neural Networks (CNN) Overview
4 m

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

Introduction to Balanced and Imbalanced Datasets in Machine Learning
8 m

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

Top 10 Open Source Computer Vision Repositories
8 m

Mastering Supervised Learning: A Comprehensive Guide
8 m

Logistic Regression: Definition, Use Cases, Implementation
8 m

Activation Functions in Neural Networks: With 15 examples


Improving Synthetic Data Generation with Encord Active