What is data labeling? In machine learning, data labeling is the process of identifying raw data (images, text files, videos, etc.) and adding one or more meaningful and informative labels to …

Data labeling involves identifying raw data, such as images, text files or videos and assigning one or more labels to specify its context for machine learning models. These labels help the …

Aug 13, 2025 · Data labeling is the process of identifying and tagging raw data with meaningful information that machine learning algorithms can use to learn patterns and make predictions.

What is data labeling? Data labeling annotates raw data with meaningful labels, providing context and categorization for machine learning (ML) models to understand. These labels serve as...

Sep 29, 2023 · Data labeling is the process of annotating raw data—such as text, images, audio, or video—with meaningful labels to make it usable for training machine learning (ML) and …

Oct 30, 2025 · Data labeling explained with simple terms types, platforms, career scope & process. Learn how data labeling powers AI & how to start the journey.

May 5, 2025 · Learn how to label data at scale with the right tools, workflows, and team structure. A practical guide for building reliable ML and AI systems.

6 days ago · Data labeling is the process of adding a descriptive tag to unstructured data, like images, videos, audio, or text. This helps an ML model categorize and contextualize what it’s …

Jul 31, 2025 · Data labeling is the process of tagging raw data — such as text, images or audio — with meaningful labels so machine learning models can learn patterns and make predictions …

Aug 8, 2025 · Data labeling is a stage in machine learning that aims to identify objects in raw data (such as images, video, audio, or text) and tag them with labels that help the machine learning …