Data

Human motion data for AI and robotics.

License 150+ hours of studio-captured 3D human motion, turn video collections into structured skeletal motion, or build a labeled dataset around your model and target embodiment.

Why human motion data is difficult to source

Human movement unfolds over time and across a connected body. A useful dataset needs more than isolated poses: it needs consistent skeletal motion, a documented representation, and enough behavioral coverage for the intended task.

Marker-based capture provides precise 3D movement but requires specialized collection. Video contains much broader behavior, but it records pixels rather than an explicit skeleton. Existing datasets may still lack the actions, target skeleton, labels, or quality criteria a model requires.

Uthana works across those gaps with licensed studio capture, 3D motion extraction from video, labeling and enrichment, and custom dataset programs. Each source keeps its identity and limitations; captured, estimated, and enriched data should not be treated as interchangeable.

Choose the right data path

Studio motion dataset

License 150+ hours of human motion recorded with a 120-camera marker-based system in a AAA production studio. Use the data for commercial model training or evaluation under an agreement with Uthana.

Explore the studio motion dataset

Motion data from video

Convert owned or licensed video collections into temporally consistent 3D skeletal motion. Use video when behavioral range matters and marker-based capture at the same scale is impractical. The output is estimated motion, not marker-based ground truth. The delivered skeleton, alignment, metadata, and QA structure are defined for the engagement.

Explore motion data from video

Motion labeling and enrichment

Add action labels, temporal segments, trajectories, contact states, and customer-defined metadata to motion data. Scope the labels and QA rules around the fields the model actually consumes.

Explore labeling and enrichment

Custom dataset programs

Build a dataset around a missing task, motion domain, skeleton, target embodiment, or output schema. Combine existing motion, new capture, video extraction, retargeting, and enrichment in a staged program.

Explore custom dataset programs

Data specifications

Review how Uthana documents capture source, dataset version, skeletons, coordinate conventions, formats, labels, quality checks, limitations, delivery, and permitted use.

Review data specifications

Captured, estimated, and enriched data are different

  • Studio-captured motion starts with marker-based 3D measurements, and is the strongest source for a reference or evaluation set when its motion coverage matches the task.
  • Video-derived motion estimates 3D skeletal movement from pixels. It can expand behavioral coverage, but quality depends on the source footage and the estimation pipeline.
  • Enriched motion adds labels, segments, trajectories, contacts, or metadata to an underlying motion source. The label quality cannot exceed what can be observed or derived reliably from that source.

This distinction stays visible throughout the site. It is both technically honest and useful for buyers comparing dataset options.

Start with the training requirement

Share the behavior, skeleton, output schema, and evaluation criteria the model requires. Uthana will help identify whether an existing license, video-extraction engagement, enrichment program, or custom dataset is the appropriate starting point.