DROID labels
Scheduled, license-clearedBroad multi-scene manipulation with synchronized views.
- Source size
- 76k trajectories (official release)
- License
- CC-BY 4.0, cited to the official release
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.
Confidence is calibrated and checked on held-out data from that dataset.
Broad multi-scene manipulation with synchronized views.
The corpus many teams already fine-tune on. Labels at the temporal resolution supported by the source data.
Multi-embodiment coverage.
Labels for instrumented datasets can be checked against the dataset's own force-torque traces.
Each delivery includes a manifest, checksums, provenance, a corrections history, and an integration call.
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.