Egocentric Insulation Installation Data

Egocentric insulation installation data is first-person video of a person fitting insulation, recorded from the contributor’s own point of view with synchronized sensor streams alongside. The camera sits on the head, close to what a robot’s onboard camera would see at a wall frame, so the frames show what the hands are doing to the batt and the cavity. On this site it is a custom collection: you name the task and the setting, and capture is run on demand to a written skill spec. The data is human capture by a paid, consented contributor. It is not robot or teleoperation data, and it is not a fixed corpus you download.

The catalog describes the tasks in its own words, for example "Measure and cut insulation batts with a utility knife and staple them between studs." This page repeats those descriptions as written. People reach this topic as insulation installation robot training data, a construction insulation video dataset, egocentric insulation installer data, or custom construction task data collection. Under each phrasing the work is the same: write down the task, collect it fast, and receive validated episodes with the labels a training pipeline expects.

Two rows of the site’s commercial task catalog describe insulation work. The first table below reproduces them exactly as the catalog states them. Both sit in the Active Construction Site environment of the Construction & Trades sector, both are rated Medium, and both list the capture setup "Phone (head-mounted) / multiview rig".

The row "Cut and install insulation batts using a utility knife and staple gun" is described as "Measure and cut insulation batts with a utility knife and staple them between studs." Its status is Active collection. The row "Insulation Installation" is described as "Cut batts to size and fit insulation between studs and joists, stapling it in place." Its status is Ready to deploy. Ready to deploy means contributors and site access are set up and capture starts once a spec is signed. Active collection means recording is running now, so a spec can join an existing capture stream. The Active Construction Site environment holds 15 rows in all, and insulation is two of them.

The catalog is a list of what is captured or available, not a ceiling on what can be briefed. A step outside these two rows, such as sealing gaps, fitting insulation around wiring or pipes or covering the cavity, is a skill-spec question to settle in a Spec Pilot. The site lists none of those as insulation rows, so none is claimed here.

Each attempt is delivered as one episode. The wider stack is ten streams, hardware-aligned under 2 ms, and the capture table below lists them. The catalog lists one capture setup for both insulation rows, a head-mounted phone or a multiview rig, and which tier a program uses is set in the skill spec.

Hand pose is delivered for both hands as 21 joints per hand in three dimensions, with a per-joint visibility flag for occluded fingers. Fitting a batt puts the hands close to the framing and to each other, and a hand closing around a batt or a knife hides fingers. The flag marks the joints that were not visible instead of presenting a guess as a measurement. The only language field the site ties to Firsthand capture is one task instruction per episode, and it lists no force or tactile stream for these rows.

Inside each episode, action segments divide the timeline into spans, each carrying start_ns, end_ns, verb and noun. A segment can be one step as written in the skill spec, such as measuring a batt, cutting it, fitting it between studs or stapling it, so one installation becomes a sequence of labeled steps rather than one long clip. Hand pose, contact events, objects and, where the spec calls for them, per-frame instance masks sit alongside.

Delivery is in the format your stack already reads: RLDS, LeRobot, WebDataset, HDF5, zarr or Rerun .rrd, or raw streams with metadata. The site lists no label for the quality of the installation, such as whether a batt is cut to size, sits flush or is stapled securely. The verb and noun on each segment is the vocabulary the skill spec defines with you.

The GR00T N1 paper structures its training corpora as a data pyramid. In its words: "large quantities of web data and human videos lay the base of the pyramid; synthetic data generated with physics simulations and/or augmented by off-the-shelf neural models form the middle layer, and real-world data collected on the physical robot hardware complete the top." In that framing, first-person human video of insulation tasks would belong to the human-video base. Human capture does not replace robot data, and this page does not claim that it does.

The same paper says of the human video datasets it used: "These do not include explicit action labels but contain extensive sequences of human-object interactions." That describes those datasets, not this one. A Firsthand episode carries labeled action segments, 3D hand pose and contact events, so the structure of the step is explicit. No model named on this page was trained on Firsthand data, and this page claims no robot result or model improvement from this data.

Both insulation rows sit in the Active Construction Site environment. The site defines two capture modes: a head-mounted phone records the first-person view of real work on site, and a multiview rig with handheld grippers records a staged working set. Both insulation rows list "Phone (head-mounted) / multiview rig" and do not say which applies, so that is agreed in the spec. The site names no building, contractor or venue.

Every contributor signs a written release before capture, and each delivered episode links to that record through consent artefact IDs in the batch data card. At ingest, automated detection finds faces, plates and screens and blurs them irreversibly, and speech is scrubbed of names, addresses and card numbers. A human reviewer confirms that no un-consented person is identifiable in any frame, and footage that cannot be de-identified is discarded. The anonymization record is delivered with the data. The site states nothing about safety, protective equipment or compliance for these rows, and this page makes no such claim. The executed agreement controls.

From signed spec to first validated batch, the site states a median of 48 hours where coverage is deep and three to four weeks where it is thin and contributors need to be recruited first. It does not state which applies to the insulation rows, so that is settled in your quote. After the first batch, on-demand top-ups run against the same accept criteria.

Validation runs against signed accept criteria written into the spec before capture. An episode is rejected, among other criteria, when the manipulated object is out of frame for more than 15 percent of the episode, when more than 35 percent of depth pixels in the manipulation region are invalid, or when an undocumented bystander appears. A reject log ships with each batch, and rejected items are recaptured at the provider’s cost. The license is perpetual, irrevocable and worldwide, buyer-owned and non-exclusive by default, with exclusivity available as a separate term. The site publishes no price list, minimum order or batch size for this task family.

Describe the insulation steps, the setting and the variation cases your pipeline is missing. That becomes a written skill spec, quoted for reach, timeline and price before capture begins, and most programs run a Spec Pilot first: a small, fast first batch that proves the spec and the accept criteria on real footage before volume scales. A sample recording is on the sample data outputs page.

Name the step and the item using catalog wording such as "staple them between studs", name the setting and capture tier, and write the reject rule and acceptance test first, so the batch is judged against terms you agreed. The final table lists what the site does not state about insulation work.