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Packaging

Egocentric Heat Sealing and Labeling Data

Feed packs into the heat sealer, check the seal and run them through the label applicator: two catalog rows in a food and beverage plant, captured first-person against a spec you write, for heat sealing robot training data, a label applicator dataset and fast, on-demand custom food-packaging data collection.
Sealing rows
Two catalog rows
Status
Both Ready to deploy
Billing
Per validated hour
License
Buyer-owned

Requirements

What does heat sealing and labeling data need?

01

The two packaging rows named

A spec names the heat sealer and label applicator row, the Packaging & Sealing row, or both, so the capture matches the sequence your policy has to learn.

02

Both hands, the pack and the machines in frame

A head-mounted view keeps both hands, the pack, the heat sealer and the label applicator in view while packs are fed, checked and labeled.

03

Hand pose through every feed and handoff

3D hand pose with per-joint visibility carries how the fingers hold, place and release each pack, and how they move it from one machine to the next.

04

Step boundaries on the same clock

Frame-accurate action segments mark where feeding ends, where the seal check starts and where labeling begins, aligned to video and depth.

05

A seal check defined in the spec

What counts as a good seal is Not stated on this site, so it is written into the spec and the signed accept criteria.

06

Rights you can ship on

A perpetual, buyer-owned commercial license backed by a documented consent chain.

Why it matters

What is egocentric heat sealing and labeling data, and why does it need its own page?

Egocentric heat sealing and labeling data is real-world, first-person video of the sealing-and-labeling part of plant packaging work. It is recorded from the worker viewpoint, with depth, 3D hand pose, contact events and frame-accurate action segments aligned on one hardware clock. It covers two rows the site states in its task catalog under the Food & Beverage Manufacturing Plant environment, and nothing beyond them.

The food and beverage manufacturing page covers all eight plant rows, and the print and packaging page covers nine packaging rows across several environments. This page is the focused treatment of the two plant rows that name a sealer and labeling, so a team training a policy to feed, check and label can scope exactly that.

Catalog

Which catalog rows cover heat sealing and labeling?

Two rows, both in the Food & Beverage Manufacturing Plant environment under the Food & Beverage sector. The first is "Seal and label packaged goods using a heat sealer and label applicator," described as feeding packs into the heat sealer, checking the seal and running them through the label applicator. The second is "Packaging & Sealing," described as filling packages, running them through the sealer and applying labels before casing.

Both are rated Easy, both list a head-mounted phone or multiview rig as the capture mode, and both carry the status Ready to deploy. The site defines that status as contributors and site access set up, with capture starting once a spec is signed. The environment examples line reads "Packaged food factory, bottling plant, meat processing facility, ready-meal production line."

The task

What does a heat sealing and labeling episode actually show?

In the first row, the machines named are a heat sealer and a label applicator, and the steps are to feed packs into the sealer, check the seal and run the packs through the applicator. In the second row, the steps are to fill packages, run them through the sealer and apply labels before casing. Taken together, an episode is a repeated sequence of handling a pack, moving it through a machine and checking or labeling it.

That feed, check and label pattern is why the hands matter as much as the machines. Hand pose and action segments mark when the fingers place a pack, when it leaves the sealer and when it reaches the applicator. The site does not state pack formats, pack counts or label contents.

The seal check

How is the seal check defined?

The site does not define it. The first row says only to check the seal. What counts as a good seal, how it is checked and what happens to a pack that fails are Not stated, and no seal-quality outcome is claimed on this page.

That is why the definition belongs in the written spec. The spec names the check your policy uses, and every batch is validated against signed accept criteria before it ships. The site states no seal-strength, temperature, throughput, food-safety, HACCP, labeling-compliance, regulatory or certification position for packaging work.

Capture setup

How is packaging work captured from a first-person view?

A head-mounted phone records the first-person view of real work on site, and a multiview rig adds synchronized third-person angles when the spec asks for them. Both rows list this single setup. On the rig tier, every stream is aligned to a shared clock and checked at the sync gate before an hour is billed.

Camera count, resolution and frame rate for plant work are Not stated, so session length and volume are quoted against your spec. Stereo capture is a separate tier with its own pages and is not stated for these two rows.

Streams and labels

What does each sealing and labeling episode contain?

Each episode follows the Firsthand episode schema: 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. For packaging, hand pose tracks how the fingers hold and place a pack, contact events mark when fingers meet it, and action segments mark each step.

Object labels use the terms your spec sets. Seal outcome labels, label content, force and tactile data are Not stated for these rows. If your policy needs them, they are defined in the spec. Tactile gloves are a separate capture tier with their own page.

Quality control

How is quality checked before delivery?

Every batch is validated against signed accept criteria before it ships, and a reject log ships with it. Rejected items are recaptured at our cost, and billing is per validated hour. On the rig tier, the sync gate checks stream alignment before an hour is billed.

For a sealing and labeling spec, the accept criteria are where you state what a usable episode looks like: which row, which packs, how many sequences and how the seal check and labeling steps are labelled. The site states no episode counts or seal-failure rates for plant work, so none appear here.

Privacy

How are workers and plants protected?

The environment page states that contributors are recruited to spec in Western program markets, so the footage reflects how this work is done in North American and European businesses. The site names no plant, company, city or region, and it does not state capture at a customer own plant. Access and schedule are agreed in the spec.

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, a reviewer confirms the result before anything ships, and the anonymization record is delivered with the data. Physical-safety measures, PPE rules and plant access terms are Not stated.

Delivery

How is the data labeled and delivered?

Delivery formats are RLDS, LeRobot and WebDataset, plus HDF5, zarr and Rerun .rrd. The format table below sets each against what its official documentation states. Action segments are the step labels, and any further object labels follow the spec.

Delivery is rolling, per validated batch, so a team can start training on early batches while later ones are still being collected.

Fast · on demand

How fast can a custom heat sealing and labeling dataset be collected?

Where coverage is already deep, the first validated batch lands in a median of 48 hours from signed spec. Thin environments typically take three to four weeks, because vetting operators there is the bottleneck, and we quote that up front. The site does not state which of the two applies to food plant work, so the timeline is quoted against your spec.

On-demand top-ups run against the same spec and accept criteria after each training run, which suits packaging work where the seal check and labeling steps are tuned as the policy improves.

The spec

How do you start a pilot?

You describe the packs, the seal check and the labeling steps your policy needs. We turn that into a written spec covering tasks, environments, capture tier, annotation depth and accept criteria, then quote reach, timeline and price before any capture begins.

A Spec Pilot, a small and fast first batch, can prove the spec and accept criteria before you scale. A reject log ships with every batch, and every collection ships under a perpetual, buyer-owned commercial license.

At a glance

What you get.

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 two catalog rows does this page cover?

The two Food & Beverage Manufacturing Plant packaging rows with the catalog description, skill rating, capture mode and status as listed.
TaskCatalog descriptionSkillCapture modeStatus
Seal and label packaged goods using a heat sealer and label applicatorFeed packs into the heat sealer, check the seal and run them through the label applicatorEasyPhone (head-mounted) / multiview rigReady to deploy
Packaging & SealingFill packages, run them through the sealer and apply labels before casingEasyPhone (head-mounted) / multiview rigReady to deploy

Related pages

How does this page differ from the other packaging and labeling pages?

Scope of each page, as stated on the site.
PageScopeHow this page differs
Food and beverage manufacturing dataAll eight Food & Beverage Manufacturing Plant rows, with packaging and sealing as one sectionThis page covers only the two sealing and labeling rows
Print and packaging line dataNine packaging rows plus a print plant environment, including sealing and labeling rows across several environmentsThis page is limited to the two food plant rows and their wording
Packing and kitting dataPacking cartons, bagging and wrapping items, sealing and labeling, and building kits at pack benches and kitting stationsThis page is about the heat sealer and label applicator rows in a plant
Barcode scanning and labeling dataScanning, label printing, label application and taggingThis page names a heat sealer and a label applicator and does not cover scanning
Food QA and foreign object inspection dataThe two inspection rows in the same environmentInspection rows are separate listings and are not covered here

Streams and tasks

How do the stated streams map to sealing and labeling tasks?

The streams the site states for Firsthand custom collections, set against what each carries in a sealing and labeling episode.
Stream or labelStatus on this siteWhat it carries in a sealing and labeling episode
Head and wrist RGB, depthStated; ten streams synced under 2 msKeeps the pack, the machines and both hands on one timeline
3D hand pose, per-joint visibilityStatedCarries how the fingers hold, place and release each pack
Contact and grasp eventsStatedMarks when fingers meet a pack or hand it to the next machine
Action segmentsStated; frame-accurateSeparates feeding, checking the seal and labeling
Object labelsSet by your specNames the packs and the seal check terms in your policy

What is not stated

Which sealing and labeling details does the site not state?

Fields the site does not state for heat sealing and labeling, and where each one is settled.
ItemStatus on this siteWhere it is settled
Definition of a good seal and how it is checkedNot statedThe written spec
Pack formats, pack counts, productsNot stated; the examples line names plant settings onlyThe written spec
Label contents and label formatsNot statedThe written spec
Heat sealer or label applicator modelsNot stated; the row names machine types onlyThe written spec
Number of episodes, workers or plantsNot statedThe written spec
Seal strength, temperatures, throughput, cycle timesNot statedQuoted against your spec
Seal outcome labelsNot statedThe written spec, if needed
Force or tactile dataNot stated for these rowsThe written spec, if needed
Food-safety, HACCP, labeling-compliance, regulatory or certification claimsNot statedNot claimed on this page
Robot or policy resultsNot statedNot claimed on this page

Formats

Which formats carry heat sealing and labeling data?

Delivery formats stated on the site, set against what each format official documentation states where the documentation was read.
FormatWhat the official documentation statesUsed for here
RLDSA dataset is retrieved as episodes, and each episode holds a dataset of steps (RLDS repository README)Episode-based training loaders
LeRobotLeRobotDataset v3.0 is a standardized format for robot learning data, including multi-camera video, with many episodes stored per Parquet or MP4 file (LeRobot documentation)LeRobot dataset format and tooling
WebDatasetTar files in which files that belong together share a basename, split into numbered shards (WebDataset README)Sharded streaming for large training runs
HDF5 and zarrStated by Firsthand onlyArray storage for custom pipelines
Rerun .rrdStated by Firsthand onlyMulti-stream synchronized playback for review

Example footage

What does egocentric footage of hands-on work and stereo capture look like?

Two real clips already published on this site. The first is a household chores clip of an operator carrying a cordless vacuum down a staircase into a living room, a first-person clip with the hands and a handled object in view. The second is a format and rig example: a head-mounted stereo capture with hands in frame. Neither shows heat sealing, labeling, a sealer or a plant.

sample-egocentric-capture.mp4 · household chores · carrying a vacuum between floors · fisheye, 960 × 540 web preview · not a sealing clip
egocentric_stereo_sample.mp4 · head-mounted stereo · hands in frame · 1920 × 1080 web preview · rig example

No heat sealing or labeling clip is published on the site, so these are the nearest clips and are format and rig examples only. Request a sample to see delivered files. See stereo sample page, stereo + wrist-cam example videos, request an egocentric data sample.

FAQ

Heat sealing robot training data, answered.

What is egocentric heat sealing and labeling data?
Real-world, first-person video of a person feeding packs into a heat sealer, checking the seal and running them through a label applicator, captured against a written spec with 3D hand pose, depth and action segments.
Which catalog rows does the site state for heat sealing and labeling?
Two, both in the Food & Beverage Manufacturing Plant environment: "Seal and label packaged goods using a heat sealer and label applicator" and "Packaging & Sealing." Both are rated Easy, list a head-mounted phone or multiview rig, and are Ready to deploy.
Does the site define a good seal?
No. What counts as a good seal, how it is checked and the reject rule are Not stated. They are written into the spec and the signed accept criteria. No seal-strength, temperature, food-safety, HACCP, labeling-compliance or certification claim is made.
Are force data or seal labels included?
Not stated for these rows. They are defined in the written spec if your policy needs them. The site states hand pose, depth, contact events and action segments.
How is privacy handled?
Faces, plates and screens are detected and irreversibly blurred at ingest, and a reviewer confirms the result. Each episode links to a signed contributor release, and the anonymization record ships with the data. PPE and plant safety rules are Not stated.
How fast can a custom heat sealing and labeling dataset be collected?
Where coverage is deep, the first validated batch lands in a median of 48 hours from signed spec. Thin environments typically take three to four weeks. Both rows are Ready to deploy, and the timeline is quoted against your spec.

Sources

Where are the delivery formats documented?

Request a custom dataset.

Tell us the packs, the seal check and the labeling steps your policy needs to handle. 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.