The process of tagging data with labels or annotations to teach AI models what patterns to recognize. Like grading homework to teach students the right answers.
Training an image recognition model requires thousands of photos labeled with what objects they contain, like 'cat', 'dog', or 'car'.
All four provide managed workflows to create labeled datasets for ML (human labeling, optional automation/active learning, quality control, and export to training pipelines). Names and UI differ, but the core goal—turning raw data into labeled training/validation data—is the same.