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Task family

Stereo Dishwashing and Kitchen Sanitation Data

Spray off plates, rack them, run the dishwasher and put clean ware back on shelves; spray degreaser on hoods, walls and counters, scrub with pads and rinse; empty and scrub fryers, hoods, floors and shelving: commercial kitchen clean-up is wet, repetitive work with the hands, a tool and a surface always in contact. This page covers the stereo and container side of dishwashing robot training data for the Restaurant & Commercial Kitchen catalog rows: what a calibrated stereo pair adds at a dish pit and a hood, what MCAP is according to its own documentation, and what the site does not state. We run custom commercial kitchen cleaning data collection fast and on demand against a spec you write, as stereo dish pit and racking video and an egocentric kitchen degreasing dataset in MCAP, at scale through a network of thousands of capture providers.
Catalog rows
Four in Restaurant & Commercial Kitchen: two dishwashing rows and two degreasing and deep clean rows
Status
Three rows Active collection, one Ready to deploy, as the catalog lists them
Container
MCAP (.mcap), open source
License
Perpetual, buyer-owned

Why stereo and MCAP here

What do a stereo pair and an MCAP file add to dishwashing and kitchen clean-down video?

01

Depth of the ware, the rack and the surface

The site states that a stereo pair at human-eye spacing makes depth recoverable from every frame pair, so the plate, the rack, the hose or scrub pad and the hood or counter sit in the same frame as the hands.

02

Hands under water and behind ware, flagged when hidden

Racking and scrubbing put fingers behind plates, pans and shelving. 3D hand pose carries a per-joint visibility flag, so a finger hidden behind a ware is flagged as hidden rather than silently guessed, and per-frame instance masks mark the objects.

03

Ordered steps on one clock

Spraying off, racking, running the dishwasher and putting ware away are different steps in a chain, as are degreasing, scrubbing and rinsing. Streams are hardware-triggered onto one clock with a 2.0 ms cross-stream ceiling, and action segments carry start, end, verb and noun as the skill spec defines them.

04

Several streams in one container

MCAP stores multiple channels of timestamped, pre-serialized data, so a stereo pair, hand pose and IMU can share one file on one log-time axis. Which streams go in the file is set in the skill spec.

Definition

What is stereo dishwashing and kitchen sanitation data?

It is first-person video of a person doing commercial kitchen wash-up and clean-down work, recorded from their own point of view with two calibrated cameras and with hand pose and sensor streams alongside. The tasks are the rows the site’s catalog lists in Restaurant & Commercial Kitchen. Stereo describes the capture, and MCAP describes the container. They are separate choices.

The site does not state that stereo is already running on these rows. The catalog lists a head-mounted phone or a multiview rig as the capture setup, and a stereo pair is a capture choice agreed in the skill spec and confirmed on a Spec Pilot. The data is human capture by paid, consented contributors, not robot or teleoperation data. Firsthand is not affiliated with Foxglove or the MCAP maintainers.

Catalog rows

Which catalog rows does this page rely on, and what is their status?

Four, all in Restaurant & Commercial Kitchen under Food & Beverage. 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. "Restaurant Dishwashing" is described as operating dish pits, racking, washing and putting away commercial kitchenware, is rated Easy and is listed as Active collection. "Wash and rack dishware using a commercial dishwasher and spray hose" is described as spraying off plates, racking them, running the dishwasher and putting clean ware back on shelves, is rated Easy and is listed as Active collection.

"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. All four 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, hours or delivered stereo footage, 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 steps that appear in the four rows. The first table below reproduces them as the catalog states them.

Difference

How is this different from the egocentric dishwashing, sanitation and floor mopping pages?

The egocentric dishwashing page covers the two dishwashing rows as first-person capture, alongside a home kitchen set. Its only depth note is that wet and reflective surfaces degrade active-stereo depth, and it has no stereo-pair or MCAP treatment. The egocentric food plant sanitation and washdown page covers the two degreasing and deep clean rows together with two food plant rows, and has no stereo or MCAP treatment.

The stereo floor mopping page is stereo and MCAP, but its rows are the mopping, floor-care and janitorial ones, not these kitchen rows. This page is the stereo and MCAP treatment of the four Restaurant & Commercial Kitchen wash and clean-down rows together, and it leaves the food plant rows out. The comparison table below sets the pages side by side.

Why stereo

Why capture dish pit and kitchen clean-down work in stereo?

Wash-up and clean-down work is about where the hands, the ware or tool and the surface sit relative to one another: where a plate goes in a rack, how far a hose is from a counter, where a scrub pad has been on a hood. A stereo pair recovers depth from the calibrated frame pair rather than from a standalone depth sensor, so the ware, the rack, the surface and the hands share a frame.

The site gives no depth accuracy figure and no label for a clean plate, a degreased surface or a full rack, so whether those are resolvable in depth is Not stated. The site says that wet and reflective surfaces, such as a rinsed pan, a wet countertop and a steel sink, degrade active-stereo depth. How a stereo pair behaves on them is Not stated, and a kitchen spec should expect the same care. Capture at your own facility is listed as not offered.

Capture setup

What does the capture setup look like, and what is not stated?

The site describes two stereo setups and does not say which one a kitchen order uses. The hard-environments stack is 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. The off-the-shelf stereo head rig, dataset 06, is dual fisheye cameras at 1080p per eye, a 62 mm baseline, per-unit calibration, a 9-axis IMU and hand-tracking output.

Which rig, resolution and streams a kitchen order uses is Not stated on the site, and the third table below sets what is stated beside what is not. Intrinsics and extrinsics are re-solved at the start and end of every session, and streams are hardware-triggered onto one clock with a 2.0 ms cross-stream ceiling. The site does not state how capture hardware is protected from water or spray. The catalog states that a multiview rig adds synchronized third-person angles when the spec asks for them, and wrist cameras give a closer view of the hands.

MCAP

What is MCAP, per its own documentation?

MCAP is an open source container file format for multimodal log data, supporting multiple channels of timestamped pre-serialized data. It is serialization-agnostic, so messages can be Protobuf, DDS (CDR), ROS, JSON and more. Its design is row-oriented and append-only, it stores schemas alongside the data, and it offers an optional index plus optional LZ4 or Zstandard chunk compression.

Reader and writer libraries exist for C++, Go, Python, Rust, Swift and TypeScript, and the mcap CLI can inspect, merge and split files. The foxglove/mcap repository is MIT-licensed; that is the MCAP project’s licence, not the licence of a Firsthand delivery. The MCAP hub page and the glossary entry cover the format in full.

Streams

Which streams can ship in an MCAP delivery of dishwashing and clean-down data?

Firsthand offers MCAP delivery, and dataset 06 is stated as shipping as MCAP. For kitchen work the site states hand pose, a stereo-derived depth stream with confidence maps, IMU, contact events, action segments and per-frame instance masks elsewhere. What it does not state is which of those are channels in an MCAP file, how they are named, what encoding they use or at what rate.

No topic name, message schema or rate is stated on this page, and none should be assumed. Name the streams that matter in the skill spec and confirm them on a Spec Pilot batch. The fourth table below sets each stream beside what the site states about it.

Failure modes

What goes wrong when you record dishwashing and kitchen clean-down in stereo?

Wet and reflective surfaces are the first risk. The site ships per-frame depth confidence maps for kitchen captures, so low-confidence regions can be masked rather than trusted, and per-frame instance masks for wet or reflective cookware, because masks propagated frame to frame do not track them well. It lists no clean, dry or degreased label, so what counts as a finished step is written into the spec up front.

Hands are the second. Fingers go behind plates, racks, pans and shelving, and a hose or scrub pad can hide the surface it is working. The visibility flag on each joint is the answer the site gives, and contact events mark when a hand meets an item. A spec can also ask for wrist views, so a grip the head camera loses is still recorded.

Calibration is the third, because stereo depth is only as good as the rectification behind it: calibration is measured at the start and end of every session under a 0.28 px RMS gate. 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. Force and tactile readings are not among the listed streams.

Privacy

How are people and items in frame handled?

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 site states no cleaning-standard, chemical, throughput, accuracy, food-safety or certification claim for these rows, so this page describes none.

Scale

How do off-the-shelf stereo data and custom collection combine?

Off-the-shelf covers what is already in stock: the stereo category lists the stereo datasets and hand-tracking video, and only dataset 06 is stated as MCAP. This page does not claim off-the-shelf stereo coverage of the kitchen rows. Custom collection covers the rest: 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 stereo kitchen order, so ask when you request the quote. Collections are billed per validated hour.

Ordering

How do you order a stereo dishwashing and kitchen sanitation dataset?

Describe the stations and their order, the ware, racks, hoses, degreaser, pads, brushes and mops and their start state, what counts as a finished step, and the variation your pipeline is missing. Then name the streams you want in the file, the topic naming and message encoding your reader expects, whether calibration ships inside the file or beside it, and whether MCAP is the only delivery or sits beside RLDS, LeRobot or WebDataset.

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 fifth table below shows what each spec element decides.

At a glance

What you get.

Catalog rows
Four rows in Restaurant & Commercial Kitchen: "Restaurant Dishwashing", "Wash and rack dishware using a commercial dishwasher and spray hose", "Degrease and scrub kitchen surfaces using degreaser and scrub pads" and "Restaurant Kitchen Deep Clean"
Status
Active collection on the first three, Ready to deploy on "Restaurant Kitchen Deep Clean"
Catalog capture setup
Phone (head-mounted) / multiview rig; a stereo pair is agreed in the skill spec
Stereo head rig (06)
Dual fisheye, 1080p per eye, 62 mm baseline, per-unit calibration, 9-axis IMU, hand-tracking output; shipped as MCAP
Hand pose
21 joints per hand with a per-joint visibility flag
Sync
Hardware-triggered onto one clock; 2.0 ms cross-stream ceiling
MCAP topics, schemas, rates
Not stated on the site; agreed in the skill spec
License
Perpetual, irrevocable, buyer-owned, non-exclusive by default

Every collection runs through the same seven-stage end-to-end custom collection pipeline. End-to-end custom data collection is a managed service that takes an AI data need from problem to owned dataset in a single accountable pipeline.

Catalog rows

Which catalog rows cover dishwashing and kitchen clean-down?

The four rows relied on by this page, with the catalog description, environment, skill, capture setup and status as listed.
Task (as listed)Description (as listed)EnvironmentSkillCapture setupStatus
Restaurant DishwashingOperating dish pits, racking, washing and putting away commercial kitchenware.Restaurant & Commercial KitchenEasyPhone (head-mounted) / multiview rigActive collection
Wash and rack dishware using a commercial dishwasher and spray hoseSpray off plates, rack them, run the dishwasher and put clean ware back on shelves.Restaurant & Commercial KitchenEasyPhone (head-mounted) / multiview rigActive collection
Degrease and scrub kitchen surfaces using degreaser and scrub padsSpray degreaser on hoods, walls and counters, scrub with pads and rinse the surfaces clean.Restaurant & Commercial KitchenEasyPhone (head-mounted) / multiview rigActive collection
Restaurant Kitchen Deep CleanEmpty and scrub fryers, hoods, floors and shelving with degreaser, brushes and mops.Restaurant & Commercial KitchenMediumPhone (head-mounted) / multiview rigReady to deploy

Compared pages

How does this page differ from the neighbouring dishwashing, sanitation and mopping pages?

Each page, what it covers and how it treats the four kitchen rows. “Not covered” means the page leaves them out.
PageRows it coversTreatment of the dishwashing and clean-down rows
This page: stereo dishwashing and kitchen sanitation dataThe two dishwashing rows and the two degreasing and deep clean rowsStereo pair and MCAP delivery, stream map and failure modes for these four rows only
Egocentric dishwashing dataThe two dishwashing rows, and a home kitchen setEgocentric catalog treatment; notes that wet surfaces degrade active-stereo depth; no stereo-pair or MCAP treatment
Egocentric food plant sanitation and washdown dataThe two degreasing and deep clean rows, and two food plant rowsEgocentric catalog treatment; no stereo or MCAP treatment
Stereo floor mopping dataMopping, floor-care and janitorial rowsNot covered; stereo and MCAP, but different rows
Stereo commercial kitchen line cooking dataThe knife work and vegetable chopping rowsNot covered; stereo and MCAP, same environment, different rows

Stated vs not stated

What the site states about stereo capture for dishwashing and kitchen clean-down

Left to right: the item, what the site states, and what that means for a kitchen order. “Not stated” means the site does not say.
ItemWhat the site statesFor a kitchen order
Catalog capture setupPhone (head-mounted) / multiview rig on all four rowsA stereo pair is a spec choice; not stated on the rows
Stereo head rig (dataset 06)Dual fisheye, 1080p per eye, 62 mm baseline, per-unit calibration, 9-axis IMU, hand-tracking output; shipped as MCAPWhether a kitchen order uses it: Not stated
Hard-environments stack4K/60 head camera, 120° lens; two 1080p/60 wrist cameras; depth 848×480 at 30 fps; 200 Hz 6-DoF IMUWhether a kitchen order uses it: Not stated
Wet and reflective surfacesA rinsed pan, a wet countertop or a steel sink degrades active-stereo depth; kitchen captures ship per-frame depth confidence mapsStereo behaviour on these surfaces is Not stated
Objects, hands and masksPer-frame instance masks stored at 848×480; per-joint visibility flag on hand pose; contact eventsStated
CalibrationMeasured every session and shipped with the episode; 0.28 px RMS reprojection gateStated
SynchronizationHardware-triggered onto one clock; 2.0 ms cross-stream ceilingStated
Row statusThree rows are Active collection and one is Ready to deployNo volume, hours or delivered stereo footage is claimed on this page
Clean, dry or degreased labels, ware counts, chemicals, throughput, accuracy, food safety, certification, force data or resultsNot stated; the rows say dish pits, racking, commercial kitchenware, plates, a dishwasher, a spray hose, degreaser, scrub pads, brushes, mops, hoods, walls, counters, fryers, floors and shelving onlyAgreed in the skill spec, or not claimed on this page
MCAP topics, schemas, ratesNot statedAgreed in the skill spec

Stream map

Streams for kitchen wash-up work and what the site states about an MCAP file

Left to right: the stream or item, what the site states about it, and what the site states about it in MCAP. “Not stated” means the site does not say.
Stream or itemWhat the site statesIn an MCAP delivery, as the site states it
Stereo pairDual fisheye, 1080p per eye, 62 mm baseline (dataset 06)Dataset 06 is stated as shipped as MCAP; channel layout not stated
Depth with confidence mapsRecovered from the calibrated stereo pair; confidence map masks low-confidence regionsNot stated
Hand pose21 joints per hand with a per-joint visibility flagChannel layout and joint order not stated
IMU9-axis (dataset 06); 6-DoF at 200 Hz (hard-environments stack)Channel layout and rate not stated
Contact events, action segments, instance masksListed in the site’s episode schema; masks stored at 848×480Not stated
Task instructionOne per episodeNot stated
CalibrationMeasured every session and shipped with the episodePlacement in the file not stated
Topic names, schemas, encoding, ratesNot statedAgreed in the skill spec

Skill spec

What the skill spec fixes for a stereo dishwashing and kitchen sanitation order

Spec element and where a buyer can see it in the delivery. “Set per program” means the site states no fixed value.
Spec elementWhat it decidesWhere it shows up
Stations and orderWhat one step is: spray off, rack, run the dishwasher, put away, degrease, scrub, rinseEpisode boundaries and action segments; set per program
Which rowsDishwashing, degreasing, deep clean, or a mixSet per program; the dishwashing and degreasing rows are Easy, the deep clean row is Medium
Ware, tools and start stateWhich plates, racks, hoses, degreaser, pads, brushes and mops, and how they beginSet per program; the site states no clean or degreased label
Episode boundaryOne rack, one surface, one station or a full chain of stationsSet per program; the site does not state an episode length
Rig and streamsStereo pair, wrist views, hand pose, IMU and any othersThe channels you can read; confirm on the Spec Pilot
MCAP topics and encodingWhat your reader expectsSet per program
Calibration deliveryInside the file or beside itSet per program
Delivery formatHow the data is packagedMCAP alone, or beside RLDS, LeRobot, WebDataset, HDF5 or zarr
Accept criteriaWhat passes QAReject log per batch
PrivacyHow people and items in frame are protectedFaces, plates and screens blurred at ingest
LicenseWho owns the datasetPerpetual, irrevocable, buyer-owned, non-exclusive by default

Example footage

What does egocentric kitchen footage and stereo capture look like?

Two real clips already published on this site. The first is a home-kitchen clip of an operator browning mince at a gas range, listed in the site’s Kitchen & food prep set. The second is a format and rig example: a head-mounted stereo capture with hands in frame. Neither shows a dish pit, racking or degreasing.

sample-dinner-cooking.mp4 · Kitchen & food prep · home kitchen, stirring in a skillet · 640 × 360 web preview · not a dishwashing or cleaning clip
egocentric_stereo_sample.mp4 · head-mounted stereo · hands in frame · 1920 × 1080 web preview · rig example

No dishwashing, degreasing or kitchen deep clean clip is published on the site, so these are labelled as format and rig examples. Request a sample to see delivered files. See stereo sample page, stereo + wrist-cam example videos, request an egocentric data sample.

FAQ

Dishwashing robot training data, answered.

What is stereo dishwashing and kitchen sanitation data?
First-person video from two calibrated cameras of a person operating a dish pit, racking and washing commercial kitchenware, and degreasing and scrubbing kitchen surfaces, with depth and hand pose alongside.
Which catalog rows cover it, and what is their status?
Four rows in Restaurant & Commercial Kitchen. "Restaurant Dishwashing", the commercial dishwasher and spray hose row and the degreaser and scrub pads row are Active collection, and "Restaurant Kitchen Deep Clean" is Ready to deploy. This page claims no volume, hours or delivered stereo footage.
Is stereo already captured on these rows?
Not stated. The catalog lists a head-mounted phone or multiview rig, and a stereo pair is agreed in the skill spec and confirmed on a Spec Pilot.
Can it be delivered as MCAP, and what is in the file?
Yes. Firsthand offers MCAP delivery. Topic names, message schemas and rates are Not stated on the site and are agreed in the skill spec.
How does it handle wet and reflective surfaces?
The site states that wet and reflective surfaces degrade active-stereo depth, and kitchen captures ship per-frame depth confidence maps so low-confidence regions can be masked. How a stereo pair behaves on them is Not stated.
How fast is a first batch, and who owns the data?
Where coverage is deep, the median time from signed spec to first validated batch is a median of 48 hours; thin coverage runs three to four weeks. The buyer owns the dataset under a perpetual, irrevocable, non-exclusive-by-default licence, with exclusivity available.

Sources

Where is MCAP documented?

Request a custom commercial kitchen dishwashing and clean-down dataset delivered as MCAP.

Tell us the stations and their order, the ware, hoses, degreaser, pads, brushes and mops and their start states, the setting, the streams you want in the file and whether MCAP sits alone or beside a training format. We will quote reach, timeline and price against a written spec.