Egocentric Kitchen Deep Clean and Degreasing Data

It is first-person video of a person degreasing and deep cleaning a commercial kitchen, recorded from their own point of view with synchronized sensor streams alongside. The tasks are the two rows the site’s catalog lists in Restaurant & Commercial Kitchen: spraying degreaser on hoods, walls and counters, scrubbing with pads and rinsing, and emptying and scrubbing fryers, hoods, floors and shelving with degreaser, brushes and mops. The camera sits on the head, close to what a robot’s onboard camera would see over a hood or a work surface, so the frames show what the hands and the pad do rather than a distant view of someone cleaning.

People reach this topic through close cousins: egocentric kitchen degreasing data, a scrub and degrease dataset, first-person commercial kitchen deep clean video, or custom restaurant cleaning data collection. They describe one request from different angles, and the work is the same: write the task down, collect it on demand in real kitchens, and receive validated episodes. The data is human capture by paid, consented contributors, not robot or teleoperation data. Nothing on this page states that the video carries a cleanliness score, a grease-coverage map or a contact-force reading.

Two, both in Restaurant & Commercial Kitchen under Food & Beverage, in the catalog data file lib/commercial-catalog-data.ts. The catalog lists examples for the environment such as a sit-down restaurant kitchen, a café, a coffee shop, an artisan bakery and a patisserie. "Degrease and scrub kitchen surfaces using degreaser and scrub pads" is described as spraying degreaser on hoods, walls and counters, scrubbing with pads and rinsing the surfaces clean, is rated Easy and is listed as Active collection.

"Restaurant Kitchen Deep Clean" is described as emptying and scrubbing fryers, hoods, floors and shelving with degreaser, brushes and mops, is rated Medium and is listed as Ready to deploy. Both list a head-mounted phone or a multiview rig as the capture setup. The site says nothing further about what each status means in volume or hours, so this page claims none, and what applies to a given order is confirmed when you request the quote. This page names only the tools and surfaces that appear in the two rows. The first table below reproduces them as the catalog states them.

"Trash & Recycling Removal in Kitchen" sits in the same environment. It is described as pulling full bags and recycling from the kitchen, carrying them to the bins and relining the cans, is rated Easy and is listed as Ready to deploy, with the same head-mounted phone or multiview rig capture setup. It is not a degreasing or deep clean row, so this page treats it as nearby context only and builds nothing on it.

The dishwashing and line setup rows in that environment are covered by their own pages, listed in the comparison table below. They are not part of this page’s scope.

The stereo kitchen deep clean and degreasing page covers the same two rows as stereo capture, agreed through the site’s general stereo offer and delivered as MCAP. This page covers them as egocentric capture as the catalog lists it, with the head and wrist views and the synchronized streams, and does not treat stereo or MCAP as the main topic. If your pipeline wants a calibrated stereo pair or an MCAP file, start from the stereo page.

The egocentric food plant sanitation and washdown page lists both kitchen rows beside two plant washdown rows, so it is a four-row page centred on sanitation. The egocentric wiping page covers wipe-and-reset rows. The egocentric kitchen line setup page covers the two pan and line rows. The stereo dishwashing page treats the two rows here as half of a four-row dish-pit set. This page narrows to the degreasing and deep clean rows alone and goes further into their surfaces, tools and failure modes. The second table below sets the pages side by side.

A deep clean is about where the hands, the tool and the surface sit relative to one another: how far a spray bottle is from a hood, where a pad has already been on a wall, how a brush reaches into a shelf. A head-mounted camera keeps the hands, the tool and the work area in one view, and it is the view a robot working the same kitchen would have. Two wrist cameras, where the spec asks for them, give a second and closer view of the hands than the head camera alone, which matters when a hand presses a pad flat or reaches under a hood.

The site gives no label for a degreased surface, a clean fryer or a finished shelf, and states no coverage measure for a scrubbed area, so what counts as finished is written into the spec up front. The catalog marks the degrease row Easy and the deep clean row Medium, which are skill ratings only, and the site states no task time for either.

The catalog states one capture setup for both rows: a head-mounted phone or a multiview rig. The site describes a wider stack that every program draws on: a head camera, two wrist cameras, depth, IMU, 3D hand and body pose, instance segmentation and action labels, ten streams in all, hardware-aligned to under 2 ms. Its hard-environments stack lists a global-shutter 4K/60 head camera with a 120° lens, two 1080p/60 wrist cameras, a depth sensor at 848×480 and 30 fps, and 200 Hz 6-DoF IMUs.

Which of those a kitchen deep clean order uses is set in the skill spec, and the third table below sets what is stated beside what is not. Every stream is hardware-triggered onto one clock, and the rig is calibrated at the start and the end of each session, with an episode accepted only if reprojection stays under 0.28 px RMS. The catalog states that a multiview rig adds synchronized third-person angles when the spec asks for them. The site does not state how capture hardware is protected from water or spray, and it does not state a camera count or resolution specific to these rows.

Not on the rows. The catalog lists a head-mounted phone or a multiview rig, and the site does not state that a stereo pair is running on these rows. Stereo applies only through the site’s general stereo offer: a stereo pair is a capture choice agreed in the skill spec and confirmed on a Spec Pilot. The stereo kitchen deep clean and degreasing page describes that route, including what a calibrated pair adds and what the site does not state about it.

On depth in general, the site states that metric depth is recovered from a calibrated stereo rig rather than from a standalone depth sensor on the instrumented tier, and that depth confidence maps ship so low-confidence regions can be masked. This page does not state which tier a kitchen order uses.

The site states an episode schema with hand pose of 21 joints per hand and a per-joint visibility flag, contact events, action segments with start, end, verb and noun, per-frame instance masks stored at 848×480, and one task instruction per episode. Calibration is measured every session and ships with the episode. Which of these a given kitchen order includes is set in the skill spec, and the site does not state a topic naming, an encoding or a rate for any of them on these rows.

Force and tactile readings are not among the listed streams, and no robot or teleoperation data is captured. The site states no degreased, clean or dry label, no grease-coverage map and no scrub-stroke label, so none is promised here. Delivery formats the site names are RLDS, LeRobot and WebDataset, with HDF5 and zarr as further options set in the spec.

Hand occlusion is the first risk. Fingers go behind a scrub pad, a brush or a mop head, and a tool can hide the surface it is working. The visibility flag on each joint is the answer the site gives, contact events mark when a hand meets an item, and a spec can ask for wrist views so a grip the head camera loses is still recorded.

Wet and reflective surfaces are the second. Per-frame depth confidence maps ship for kitchen captures so low-confidence regions can be masked rather than trusted, and per-frame instance masks cover wet or reflective cookware, because masks propagated frame to frame do not track them well. Spray, steam, lighting and clutter around a hood or a fryer are not described on the site, so how they affect a capture is Not stated.

An episode is also rejected when the manipulated object is out of frame for more than 15 percent of it or an undocumented bystander appears, and a reject log ships with every batch. Capture at your own facility is listed as not offered.

A deep clean chains steps that look alike on camera: spraying, scrubbing and rinsing a hood, then the same on a wall, then on a counter, or emptying a fryer and then scrubbing it. Action segments carry start, end, verb and noun, so the spec decides where one segment ends and the next begins, and which object is the noun.

The site states no episode length, no segment count and no scrub-stroke label for these rows. Whether an episode is one surface, one appliance or a whole station is set per program. Put that boundary and the verbs you expect into the skill spec, and check them on the Spec Pilot before you scale.

For every delivered episode the site states that faces, plates and screens are blurred irreversibly, and that footage that cannot be de-identified is discarded. Who may be in frame, and how a kitchen’s own staff, menus or labels are handled, is agreed in the spec. The anonymization page has the full statement.

The site states no cleaning-standard, chemical, throughput, accuracy, food-safety or certification claim for these rows, so this page describes none. It also states no restaurant, client or brand name, no degreaser brand or dilution ratio, no equipment model, no surface count and no task time for these rows. Each of those is Not stated.

Off-the-shelf covers what is already in stock. This page does not claim an off-the-shelf dataset of kitchen deep clean or degreasing, so this is custom collection: custom collection at scale through a network of thousands of capture providers, for a consistent, recurring data flow to labs.

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. The site does not say which speed applies to a kitchen order, so ask when you request the quote. Collections are billed per validated hour.

Describe the surfaces and appliances and their order, the degreaser, pads, brushes and mops and their start state, what counts as a finished surface, and the variation your pipeline is missing. Then name the streams you want, whether wrist views are needed, how episodes are bounded, and the delivery format your loader expects.

Most programs begin with a Spec Pilot, a small first batch that proves the spec and accept criteria on real footage before you scale. The fourth table below shows what each spec element decides.