Atlas · GenAI 2026

Data Labeling & Annotation

Producing labeled training and eval data — guidelines, inter-annotator agreement, active learning and tooling (Label Studio).

conceptPeak: 2019Dataset CurationAI consensus: 0/3

Prerequisites

mediumTraining Data Curation
Labeling is how supervised training data is produced.
softData Curation
Part of assembling quality datasets.

Recommended reference

Label Studio — official documentation

Notes from AI deep research

Related skills

← is an instance of: CVAT(0/3)
← is an instance of: Label Studio(0/3)