An introduction to Data Annotation for Machine Learning (2025 18th Feb.)

This is a summary of data annotation for machine learning;
covering the fundamental concepts, the practical techniques, and industry-specific applications. We briefly explore the definition; types; and benefits of data annotation; delve into the process of performing data annotation for machine learning models; and examine the latest tools and technologies
available. Furthermore; we address current challenges in data annotation and outline vital steps in the annotation process; from data collection to data export. Finally; we will discuss best practices for data annotation in Large Language Models and Machine Learning to ensure high-quality training data and optimal model performance.