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PixlHub is a data labeling platform for building training datasets: image, text, LiDAR and RLHF projects with built-in review workflows, live quality metrics, and AI assistance from pre-labeling models to LLM agents.
PixlHub annotation editor with labeled vehicles, pedestrian and traffic sign on a street scene

The PixlHub editor at work: class hotkeys, precise annotations, and every object tracked as an instance.

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Quickstart

Project, data, labels and your first submitted task in about five minutes.

Core concepts

The seven ideas that make every screen predictable.

Learn the platform

Projects

Creation, workflow, assets, tasks and schemas.

Annotation editor

Panels, shortcuts and the full tool tour.

Annotation tools

Boxes, polygons, points, lines, freeform and cuboids.

Review & quality

Accept, reject, and the metrics that keep datasets honest.

AI & automation

Pre-labeling models, LLM agents and plugins.

Text module

Entity spans with character-exact offsets.
New to data labeling entirely? The PixlData blog covers the wider practice: tool comparisons, annotation techniques and dataset quality guides.