Physical-event labels for robot datasets.

Haptica adds five physical-state labels to datasets you already use. An ID-keyed overlay joins the labels to source episodes. The source video stays with the original dataset.

What you receive

  • A per-timestep physical-state sequence
  • A timestamped physical-event record
  • Source episode IDs
  • Corpus-specific confidence and abstention
  • Held-out quality and coverage
  • Grouped train and evaluation splits
  • Provenance
  • Corrections history
  • A training and evaluation guide

Confidence is calibrated and checked on held-out data from that dataset.

Availability

Available
Labels complete, checked, and cleared for delivery.
In production
License-cleared. Labeling underway.
Scheduled, license-cleared
Cleared and queued for labeling.
Free evaluation set
Free labels for evaluation. Never sold.

Datasets

DROID labels

Scheduled, license-cleared

Broad multi-scene manipulation with synchronized views.

Source size
76k trajectories (official release)
License
CC-BY 4.0, cited to the official release

BridgeData V2 labels

Scheduled, license-cleared

The corpus many teams already fine-tune on. Labels at the temporal resolution supported by the source data.

Source size
60,096 trajectories (official release)
License
CC-BY 4.0, cited to the official release

RoboMIND labels

Scheduled, license-cleared

Multi-embodiment coverage.

Source size
107k trajectories (official release)
License
Apache-2.0

Instrument-grounded labels

Labels for instrumented datasets can be checked against the dataset's own force-torque traces.

Ask about instrument-grounded labels

Delivery

Each delivery includes a manifest, checksums, provenance, a corrections history, and an integration call.

Start with your own data.

Send the hardest hour in your dataset. We'll return a labeled sample and show you what Haptica can cover. We reply with a secure upload link.