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Physical AI Video 220 hrs · 4-view sync · 1,600 sessions

Multivision Egocentric Video Dataset (First-Person, Multi-View)

First-person (egocentric) video of everyday manual tasks, captured with synchronised multi-view rigs — for embodied AI, action recognition, hand-object interaction and imitation learning.

  • Rights-cleared
  • Consent documented
  • 🇮🇳 India data residency
Multi-sensor humanoid capture and 3D annotation illustrating the Multivision Egocentric Video Dataset (First-Person, Multi-View) physical-AI dataset
Languages
Narration in English & Hindi
Scale
220 hrs · 4-view sync · 1,600 sessions · 1600 records
Inter-annotator agreement
α = 0.89
QA pass rate
98.70%
Quality & methodology metrics

Measured, audited, reproducible

IAA / Krippendorff α
0.89
QA pass rate
98.70%

Action segments, hand-object interactions and object tracks are double-annotated at α = 0.89 with a 98.7% QA pass rate. Every session provides frame-synchronised multi-view streams with verified temporal alignment.

Provenance & consent

Captured from consenting participants performing everyday tasks under fair-pay agreements granting commercial reuse, with on-camera bystanders consented or blurred. Each session carries consent and scene-context references; all data is stored and processed within India.

Methodology

Participants wear a head-mounted camera while synchronised fixed cameras capture the same scene from multiple views. Annotators label action boundaries, hand-object interactions and object tracks; a second reviewer and a temporal-consistency audit verify alignment before each versioned release.

Data preview

What's inside each record

A representative schema for Multivision Egocentric Video Dataset (First-Person, Multi-View). The full data card ships the complete field dictionary, value ranges and annotation rubric.

Field Type Example
id string (uuid) "txt_a3f1…"
prompt string "When will this feature ship?"
response string "…"
label enum "preferred" | "rejected"
language string (ISO 639) "nar"
annotator_id string (hashed) "anr_7f3…"
qa_status enum "passed"
consent_ref string "cns_2024_…"

Representative schema — exact fields and value ranges are documented in the dataset card shipped with every licence.

Licensing

License tiers

Choose the tier that matches your use case. Every tier ships with the full data card, provenance log, and quality report.

Commercial Non-Exclusive

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Production licence for embodied-AI, action-recognition and imitation-learning models.

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Enterprise / Sovereign Exclusive

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Exclusive licensing plus bespoke tasks, environments and sensor rigs captured to spec.

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