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Food portioning and weighing

Egocentric Food Portioning and Weighing Data

Weigh the portion, fill the container, seal it, label it and stack it for service: portioning is a repeated chain of small two-handed steps behind a commercial kitchen pass. We collect custom egocentric video of food portioning and weighing on demand, to a written skill spec, with synchronized streams, 3D hand pose, contact events, action segments, anonymization and a buyer-owned license.
Tasks
Two portioning and packaging rows, as the catalog lists them
Streams
Ten, synced under 2 ms
First batch
Median 48 h in deep-coverage settings
License
Perpetual, buyer-owned

Requirements

What does portioning need that a generic cooking clip does not?

01

A repeatable chain of steps

The catalog describes portioning as a sequence: weigh cooked food into portions, fill containers, seal, label and stack them for service. The value is in the order of the steps and in how each one starts and ends, repeated across many containers.

02

Fine hand work at the scale and the container

Placing, filling and sealing are done with fingertips and a steady wrist. First-person capture keeps both hands in frame, and the two wrist cameras add a closer view. 3D hand pose carries a per-joint visibility flag, so a finger hidden behind a container is flagged rather than guessed.

Definition

What is egocentric food portioning and weighing data?

It is first-person video of a person portioning food in a commercial kitchen, recorded from a head-mounted camera, with two wrist cameras for a closer view of the hands. The contributor is a paid, consented person following a written skill spec, not an actor and not a robot.

The point of the data is what the hands do between the scale and the stack: weighing, filling, sealing, labeling. It is labeled so each step can be sliced out. Where the site states nothing, a table says "Not stated" and the answer lives in the spec or the quote.

Task coverage

Which portioning and weighing tasks can be captured, and what is their status?

The task catalog names two rows that are about weighing and portioning food into containers, both in the Restaurant & Commercial Kitchen environment. "Kitchen Meal Portioning & Packaging" is described as "Weigh cooked food into portions, fill containers, seal, label and stack them for service." It is rated Easy and listed as Ready to deploy.

"Portion and package meals using a kitchen scale and food-grade containers" is described as "Weigh each portion on the scale, fill containers to spec and seal and label them." It is rated Easy and listed as Active collection. Both list a head-mounted phone or multiview rig. The site says nothing further about what these statuses mean in volume or delivered hours, so this page claims no completed collection, and what applies to your order is confirmed when you request the quote.

This page names only the tools and steps that appear in the two rows: a scale, portions, containers, filling to spec, sealing, labeling and stacking for service. The first table below reproduces the rows as the catalog states them.

Settings and rigs

Where is portioning data captured, and on what rig?

The catalog ties both rows to Restaurant & Commercial Kitchen, with examples that include a sit-down restaurant kitchen, a café, a coffee shop, an artisan bakery and a patisserie. Both rows list a head-mounted phone or multiview rig as the capture setup.

The site does not state capture at a customer’s own facility or who hosts it, so the spec settles location and access.

Episode contents

What does each portioning episode contain?

An episode is one contributor performing one task from the skill spec, recorded with ten hardware-synchronized streams that line up within 2 ms. The site documents a canonical episode schema, and every delivery format is a view of it.

Hand pose is stored as 21 joints per hand in metres in the head frame, with a visibility flag for each joint. Contact events record when a hand meets an object. The site does not say whether a scale or a container counts as the object, so settle it in the spec.

Action segments carry a start, an end, a verb and a noun from a taxonomy the site states as 97 verbs and 512 nouns, human-reviewed. For portioning, a segment can be one step as written in the spec. Every episode links to its contributor’s signed release by a consent artefact ID, and each batch ships with a data card.

Labeling

How is portioning data labeled?

The unit of labeling is the action segment. A spec that says "portion the meal" gives you one long segment. A spec that names weigh, fill, seal, label and stack gives you a sequence you can slice by step.

Every episode is machine-checked, then reviewed by a human against its skill spec, and rejected episodes are recaptured at our cost. The site states no scale reading, portion weight, fill level or task-success label, and no force or tactile reading, so ask for any such label at the start.

Privacy

How is privacy handled when capturing in commercial kitchens?

Only what the site already states applies. Every contributor signs a written release, and each episode links to it. Faces and screens are detected and blurred irreversibly, a human reviewer confirms that no un-consented person is identifiable, and footage with bystanders who cannot be de-identified is discarded rather than shipped.

The site does not state how a kitchen’s own staff, menus or container labels are handled beyond that general rule, so settle it in the spec before capture. This is not legal advice, and the executed agreement controls.

Delivery

How is portioning data delivered, and who owns it?

Data is delivered in RLDS, LeRobot, WebDataset, HDF5, zarr or Rerun .rrd, or as raw streams with metadata, with the episode schema as the canonical layout. QA runs once, against the canonical episode, before any format is cut. The formats table sets the site’s delivery next to each maintainer’s own documentation, linked under Sources.

The license is perpetual, irrevocable and worldwide, buyer-owned and non-exclusive by default, with exclusivity available as a separate term and the executed order form governing.

Speed

How fast can a custom portioning dataset be collected?

The site states one published timeline: from a signed spec to a first validated batch, a median of 48 hours where coverage is already deep, and typically three to four weeks where it is thin because operators have to be staffed. The site does not say which applies to these two rows and promises nothing faster, so ask when you request the quote.

Collection is on demand, so a focused brief, such as one container from first weigh to stacked for service, is a normal starting point.

Getting started

How do you start a pilot?

Start with the free sample pack to check the loader and label quality, then move to a Spec Pilot: a small, fast first batch against the written spec that proves the fill rate and reject rate on your conditions before you scale.

A good portioning brief names the setting, the sequence of steps, how each step starts and ends, what counts as a reject and the privacy rule for the room. The site’s skill-spec guide walks through that structure. Then request a custom dataset.

Capture setup

What is the capture setup for a portioning collection?

The capture setup as stated on this site, applied to portioning and weighing. Counts of contributors and hours are set in the skill spec.
PartAs stated on this site
Head cameraGlobal-shutter 4K at 60 fps with a 120 degree lens
Wrist camerasTwo wrist-mounted cameras at 1080p and 60 fps
DepthDepth sensor at 848×480 and 30 fps, with per-frame confidence maps
IMU6-DoF at 200 Hz
SyncTen streams, hardware-triggered onto one PTP clock domain and aligned under 2 ms
CalibrationRe-solved with a checkerboard target at the start and end of every session; accepted only under the 0.28 px RMS reprojection gate
Catalog capture setupHead-mounted phone or multiview rig for both rows
Container types, scale models, portion weightsNot stated

Every collection runs through the same seven-stage end-to-end custom collection pipeline.

Task catalog

Which portioning and weighing rows does the catalog name?

The two catalog rows this page relies on, reproduced as the catalog states them, including status.
Task (as listed)Description (as listed)EnvironmentSkill levelCapture setupStatus
Kitchen Meal Portioning & PackagingWeigh cooked food into portions, fill containers, seal, label and stack them for service.Restaurant & Commercial KitchenEasyPhone (head-mounted) / multiview rigReady to deploy
Portion and package meals using a kitchen scale and food-grade containersWeigh each portion on the scale, fill containers to spec and seal and label them.Restaurant & Commercial KitchenEasyPhone (head-mounted) / multiview rigActive collection

Comparison

How is this page different from the neighbouring food pages?

What each neighbouring custom-collection page is about, as those pages state it. This page is only about the two weighing and portioning rows.
PageMain topicRelationship to the portioning rows
Egocentric food portioning and weighing data (this page)Weighing food into portions, filling containers to spec, sealing, labeling and stacking for serviceBuilt on the two Restaurant & Commercial Kitchen portioning rows
Egocentric meal plating and serving dataPlating, portioning and serving across eleven catalog rowsLists the two portioning rows inside a wider table; plating and serving are the main topic
Egocentric heat sealing and labeling dataTwo Food & Beverage Manufacturing Plant rows that use a heat sealer and label applicator, both Ready to deployA different environment and different tools; no weighing step in those rows
Egocentric sandwich and salad assembly dataAssembly of sandwiches and saladsLists portion sizes as Not stated; does not rely on the portioning rows
Egocentric cutting and food prep dataCutting rows with a chef’s knife and cutting board, such as chopping and portioning vegetablesNeighbouring row; the knife is the main tool there, not the scale

Episode fields

What fields does a portioning episode carry?

Episode fields as documented in the site’s episode schema, and what each is useful for in a portioning task.
FieldAs documentedUse for portioning
hand_joints21 joints per hand, in metres, head frameHow each hand places, fills or seals
hand_visibleBoolean visibility flag per jointWhich fingers are hidden behind a container
contact_eventsTimestamp, hand, object ID and kindWhen a hand meets an object in the chain
instance_masksTracked object IDs per frame at 848×480Which object is which across frames
action_segmentsstart_ns, end_ns, verb, nounOne labeled span per portioning step
depth_mm and depth_confMetric depth with a per-pixel confidence mapWhere depth can be trusted near the work surface
Scale reading, portion weight, fill level or success label, force or tactileNot statedNot stated

Delivery formats

Which formats are delivered, and what does each format’s own documentation say?

The delivery formats the site lists. The third column is taken only from the official pages linked under Sources.
FormatDelivered by FirsthandMaintainer documentation
RLDSTFDS-compatible tfrecord shards, one skill line per directoryStores episodic data; a dataset is a tf.data.Dataset of episodes, each containing a dataset of steps
LeRobotParquet plus an mp4 per camera, in the Hugging Face datasets layoutSynchronized MP4 videos or images for vision, plus Parquet files
WebDatasetListed as a delivery formatTar files in which files sharing a basename make up one training sample
HDF5, zarr and Rerun .rrdListed as delivery formatsNot described on this page

Not stated

What does the site not state about portioning and weighing?

Details a buyer may ask about and where the answer lives.
TopicOn this siteWhere it is settled
Container types, scale models and food typesNot statedWritten skill spec
Portion weights and fill-to-spec tolerancesNot statedWritten skill spec
Scale readings captured as a data streamNot statedNot offered as a stated stream
Force, tactile or torque dataNot statedNot offered as a stated stream
Accuracy or task-success labelsNot statedScoped in the spec
Food-safety or hygiene certificationsNot statedNot offered as a stated claim
Throughput, volume and which timeline applies to these rowsNot statedQuote
Robot actions or teleoperation dataNot stated; Firsthand captures humans, not robotsYour own retargeting step

Example footage

What does egocentric kitchen footage 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 weighing or portioning food into containers.

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

No food portioning or weighing clip is published on the site, so these are labelled as format and rig examples. Request a sample to see delivered files. See sample data outputs, request an egocentric data sample.

FAQ

Egocentric food portioning and weighing data, answered.

What is egocentric food portioning and weighing data?
Custom first-person video of people weighing food into portions, filling containers to spec, and sealing, labeling and stacking them for service, captured by paid, consented contributors to a written skill spec, with synchronized streams, 3D hand pose, contact events and action segments.
Which catalog rows cover it, and what is their status?
Two rows in Restaurant & Commercial Kitchen, both rated Easy: "Kitchen Meal Portioning & Packaging" is Ready to deploy, and "Portion and package meals using a kitchen scale and food-grade containers" is Active collection. This page claims no completed collection or delivered hours.
What streams and labels come with a portioning episode?
Ten hardware-synchronized streams aligned under 2 ms, 3D hand pose for both hands, contact events and action segments with a start, an end, a verb and a noun. No scale reading, portion weight, fill level, force or tactile reading is stated.
How fast can a custom portioning dataset be collected?
From a signed spec to a first validated batch, a median of 48 hours where coverage is deep and three to four weeks where it is thin. The site does not say which applies to these rows, so ask when you request the quote.
Do you capture robot or teleoperation data for portioning?
No. Firsthand captures humans, not robots. Episodes carry human hand pose and human action labels, so using them for a specific robot means your own retargeting step.
Who owns the data?
The license is perpetual, irrevocable and worldwide, buyer-owned and non-exclusive by default, with exclusivity as a separate term. The executed order form governs.

Sources

Where are the delivery formats on this page documented?

Request a custom food portioning and weighing dataset.

Tell us the setting, the steps and the privacy rule your model needs to see. We will quote reach, timeline and price against a written spec, with a first validated batch in a median of 48 hours where coverage is deep.