Egocentric Air and Cabin Filter Replacement Data

It is real-world, first-person video of a person replacing air and cabin filters: inspecting the filter, removing it and installing the new one with a screwdriver and a shop rag. It is recorded from the operator viewpoint, with 3D hand pose, depth, contact events and frame-accurate action segments aligned on one hardware clock. The task is the one the site’s task catalog lists in two rows.

The data is human capture by paid, consented contributors, not robot or teleoperation data. This page is about cabin filter replacement robot training data in the sense of what a policy can learn from watching skilled service work, and it makes no claim that any robot has been trained on it.

Two, both in the Auto Service Center & Tire Shop environment of the Automotive & Transport sector. "Inspect, remove, and install air and cabin filters using a screwdriver and a shop rag." is rated Easy and its status is Active collection; its description column gives the setting, "Automotive repair shop with vehicle lifts, tool chests, and dedicated service bays." "Filter & Component Replacement" is rated Medium and its status is Ready to deploy; its description reads "Remove and replace air, cabin and oil filters and worn components with hand tools." Both list a head-mounted phone or a multiview rig as the capture setup.

The site says nothing further about what Active collection or Ready to deploy means in volume or hours, so this page claims no completed collection and no delivered hours. It names only the steps and tools that appear in the rows: inspect, remove, install, a screwdriver, a shop rag, filters, components and hand tools. The first table below reproduces the rows as the catalog states them.

The egocentric vehicle maintenance page covers thirteen rows across oil and fluid, filter, battery, brake and diagnostics work, and lists the two filter rows in a group of their own alongside the rest. The egocentric vehicle diagnostics page takes the one scan tool row, the egocentric car battery replacement page takes the battery rows and the stereo oil and fluid change page takes the oil and fluid rows, where an oil filter swap is part of the oil row as listed.

This page gives the two filter rows their own treatment: the steps in order, how the capture works around a screwdriver, a shop rag and a filter, what each episode carries and where the failure modes are. The comparison table below sets the pages side by side.

Inspecting comes first: the row names it before removal. The data needs to show the filter, the part around it and the hand that points at or handles it, and a spec decides whether inspecting is a step of its own. Removing follows, using a screwdriver where the row names one, and the shop rag is the second item the row names. Installing closes the sequence, seating the new filter and finishing the job.

The Ready to deploy row widens the scope: it names air, cabin and oil filters and worn components, replaced with hand tools. The site does not say which filter sits where on a vehicle, how a part is released or how a filter is checked, so this page does not describe the vehicle layout and the spec decides which filters and components an order covers.

Across all steps, action segments carry the start and end of each one as the skill spec defines them. A spec can ask for the whole replacement in one episode or isolate a single step, and the segment boundaries are what let a policy learn the order.

Filter replacement is close-range work: a tool in one hand, a part in the other, and eyes on a small opening. A head-mounted camera keeps the whole reach in frame from the viewpoint a manipulation policy will see from, and two wrist-mounted cameras give a closer view of the hands and the part.

A multiview rig adds synchronized third-person angles when the spec asks for them. That is useful in a service bay, where the vehicle itself can hide the hands from the head view. Which angles a filter replacement order uses is set in the spec.

The catalog lists one capture setup for both rows: a head-mounted phone recording the first-person view of real work on site, with a multiview rig adding synchronized third-person angles when the spec asks for them. The wider stack the site documents for hard environments is a global-shutter 4K/60 head camera with a 120° lens, two 1080p/60 wrist cameras and 200 Hz 6-DoF IMUs. Which of those a filter replacement order uses is Not stated, and the third table below sets what is stated beside what is not.

Streams are hardware-triggered onto one clock, synced under 2 ms. Depth is aligned to video, and distance-invalid pixels beyond the sensor reliable range are flagged rather than interpolated. The site does not state which shop, dealership or vehicle a collection runs in or on, and it does not state capture at a customer’s own facility, so the environment, access and schedule are agreed in the spec.

Each episode follows the same episode schema as every Firsthand custom collection: ten streams synced under 2 ms, with head and wrist RGB, depth, 3D hand pose with per-joint visibility, contact and grasp events and frame-accurate action segments. The only language data is one task instruction per episode.

For filter replacement, hand pose tracks the operator through the grip on the screwdriver and the handling of the filter. Contact events mark when a hand takes hold of an item and when it lets go, and action segments mark the start and end of each step. Because the labels share one clock with the video and depth, a step boundary lines up with the exact frame where it happens. The fourth table below lists each item.

Occlusion is the first risk. A hand, the filter or the vehicle itself can hide the fingers and the part, and the vehicle can block the first-person view. The per-joint visibility flag is the answer the site gives, contact events mark when a hand meets an item, and a spec can ask for wrist or multiview angles so a grip the head camera loses is still recorded.

Surfaces are the second. The site states that under-vehicle capture is hostile to infrared depth and that such episodes carry a depth-quality flag instead of being silently interpolated, but whether a filter replacement involves that view, and how depth behaves around a filter, a housing or a shop rag, is Not stated, so check it on a Spec Pilot.

Scope is the third. The two rows differ: one names air and cabin filters, the other adds oil filters and worn components, and neither says what one episode covers. The spec decides whether one episode is one filter or a longer visit. Filter brands, part numbers, vehicle makes, service intervals, mileage, air-quality or performance claims, service times, throughput and any safety or certification claim are Not stated and are not claimed on this page.

Every batch is validated against signed accept criteria before it ships, with a reject log. The site states that an episode is rejected when the manipulated object is out of frame for more than 15 percent of it, when more than 35 percent of depth pixels in the manipulation region are invalid, or when an undocumented bystander appears.

Billing is per validated hour, and rejected items are recaptured at our cost. The site does not state an accuracy figure for filter replacement step labels, so what counts as a pass for a step boundary is set in the accept criteria.

Every episode links to a signed contributor release through a documented consent chain, and the consent record is part of the delivery. Faces, plates and screens are detected and irreversibly blurred at ingest, and a reviewer confirms the result before anything ships. The site also states that licence plates and VIN plates in service-bay footage are blurred at ingest without exception. The anonymization record is delivered with the data.

Whether shop signage, a work order or a customer’s documents are blurred beyond that general rule is Not stated, and this page makes no claim about it. Raise any such rule in the spec.

The October 2026 off-the-shelf catalog lists ~324,800 hours across 18 datasets. None of them names air or cabin filter replacement among its tasks. Filter replacement collection to a spec is therefore custom collection: custom collection at scale through a network of thousands of capture providers, for a consistent, recurring data flow to labs. The site states no provider count or throughput for these rows.

The off-the-shelf catalog shows what the capture rigs deliver, and the custom order applies the same approach to your task. One row is Active collection and the other is Ready to deploy, and the site does not say how many hours exist for either.

Delivery formats are RLDS, LeRobot and WebDataset, plus HDF5, zarr and Rerun .rrd. The first three are training-loader formats, HDF5 and zarr carry arrays for custom pipelines, and Rerun .rrd gives a synchronized playback file for review. Converter source is readable, so you can retarget the schema to your own loader, and the episode schema page lists the fields.

Delivery is rolling, per validated batch, and formats are confirmed when the work is scoped.

Where coverage is deep, the median time from signed spec to first validated batch is a median of 48 hours; where it is thin, turnaround runs three to four weeks. One row is rated Easy and Active collection and the other Medium and Ready to deploy, and the site does not say which speed applies to a filter replacement order, so the timeline is quoted against your spec before capture begins.

On-demand top-ups run against the same spec and accept criteria after each training run, so new filter replacement data stays consistent with what you already hold. The site does not state a batch size or a later-batch turnaround, so those are quoted against your spec.

Describe the steps you want and where each starts and ends: inspecting, removing and installing. Name the tools you expect to see, which filters and components an episode covers, whether an episode covers one filter or a longer visit, what counts as a reject and the variation your pipeline is missing. We turn that into a written spec covering tasks, environments, capture tier, annotation depth and accept criteria, then quote reach, timeline and price against that document before any capture begins.

Most programs begin with a Spec Pilot, a small first batch that proves the spec and the accept criteria on real footage before you scale. The collection runs through the same seven-stage end-to-end custom collection pipeline as every Firsthand program, under a perpetual, buyer-owned commercial license, with exclusivity available. The fifth table below shows what each spec element decides.