Warehouse Teleoperation Trace Sample (Multi-Sensor)
A sample of synchronized teleoperation traces from real warehouse tasks — RGB-D, IMU and action logs — to evaluate our Physical AI collection and annotation quality.
- Rights-cleared
- Consent documented
- 🇮🇳 India data residency
- Languages
- India-wide field operations
- Scale
- 12 hrs · 8 environments · 8 records
- Inter-annotator agreement
- α = 0.87
- QA pass rate
- 98.00%
Measured, audited, reproducible
- IAA / Krippendorff α
- 0.87
- QA pass rate
- 98.00%
Sensor streams are temporally aligned and validated; annotation of actions, objects and events reaches α = 0.87 with a 98.0% QA pass rate after geometric and temporal-consistency review. This is a collection & annotation service capability sample.
Captured on-site under employer/site consent with bystander opt-out handling and de-identification of faces and identifiers. All processing and hosting occur within India, with capture metadata and consent status tagged per sequence.
Trained field crews operate synchronized multi-sensor rigs during real warehouse tasks; sequences are calibrated, annotated with actions/objects/events, and passed through a senior QA audit. Engage us to collect or annotate physical data to your spec.
What's inside each record
A representative schema for Warehouse Teleoperation Trace Sample (Multi-Sensor). The full data card ships the complete field dictionary, value ranges and annotation rubric.
| Field | Type | Example |
|---|---|---|
| scene_id | string (uuid) | "scn_0f8a…" |
| sensors | array<enum> | ["lidar","rgb","imu"] |
| frame_path | string | "frames/scn_0f8a/…" |
| annotations | array<object> | [{label, bbox3d, track_id}] |
| events | array<enum> | ["pedestrian_cross"] |
| language | string (ISO 639) | "ind" |
| 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.
License tiers
Choose the tier that matches your use case. Every tier ships with the full data card, provenance log, and quality report.
Evaluation Sample
Contact us
Request the sample to evaluate our Physical AI collection and annotation quality.
Request the sampleCollection / Annotation Engagement
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Engage our team to collect or annotate multi-sensor data to spec, India-resident.
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