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.
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.
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 datasetConvert 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 videoAdd 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 enrichmentBuild 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 programsReview how Uthana documents capture source, dataset version, skeletons, coordinate conventions, formats, labels, quality checks, limitations, delivery, and permitted use.
Review data specificationsThis distinction stays visible throughout the site. It is both technically honest and useful for buyers comparing dataset options.
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.