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.
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Requirements
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.
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.
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.
Frame-accurate action segments mark where feeding ends, where the seal check starts and where labeling begins, aligned to video and depth.
What counts as a good seal is Not stated on this site, so it is written into the spec and the signed accept criteria.
A perpetual, buyer-owned commercial license backed by a documented consent chain.
Why it matters
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
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
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
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
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
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
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
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
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
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
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
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
| Task | Catalog description | Skill | Capture mode | Status |
|---|---|---|---|---|
| Seal and label packaged goods using a heat sealer and label applicator | Feed packs into the heat sealer, check the seal and run them through the label applicator | Easy | Phone (head-mounted) / multiview rig | Ready to deploy |
| Packaging & Sealing | Fill packages, run them through the sealer and apply labels before casing | Easy | Phone (head-mounted) / multiview rig | Ready to deploy |
Related pages
| Page | Scope | How this page differs |
|---|---|---|
| Food and beverage manufacturing data | All eight Food & Beverage Manufacturing Plant rows, with packaging and sealing as one section | This page covers only the two sealing and labeling rows |
| Print and packaging line data | Nine packaging rows plus a print plant environment, including sealing and labeling rows across several environments | This page is limited to the two food plant rows and their wording |
| Packing and kitting data | Packing cartons, bagging and wrapping items, sealing and labeling, and building kits at pack benches and kitting stations | This page is about the heat sealer and label applicator rows in a plant |
| Barcode scanning and labeling data | Scanning, label printing, label application and tagging | This page names a heat sealer and a label applicator and does not cover scanning |
| Food QA and foreign object inspection data | The two inspection rows in the same environment | Inspection rows are separate listings and are not covered here |
Streams and tasks
| Stream or label | Status on this site | What it carries in a sealing and labeling episode |
|---|---|---|
| Head and wrist RGB, depth | Stated; ten streams synced under 2 ms | Keeps the pack, the machines and both hands on one timeline |
| 3D hand pose, per-joint visibility | Stated | Carries how the fingers hold, place and release each pack |
| Contact and grasp events | Stated | Marks when fingers meet a pack or hand it to the next machine |
| Action segments | Stated; frame-accurate | Separates feeding, checking the seal and labeling |
| Object labels | Set by your spec | Names the packs and the seal check terms in your policy |
What is not stated
| Item | Status on this site | Where it is settled |
|---|---|---|
| Definition of a good seal and how it is checked | Not stated | The written spec |
| Pack formats, pack counts, products | Not stated; the examples line names plant settings only | The written spec |
| Label contents and label formats | Not stated | The written spec |
| Heat sealer or label applicator models | Not stated; the row names machine types only | The written spec |
| Number of episodes, workers or plants | Not stated | The written spec |
| Seal strength, temperatures, throughput, cycle times | Not stated | Quoted against your spec |
| Seal outcome labels | Not stated | The written spec, if needed |
| Force or tactile data | Not stated for these rows | The written spec, if needed |
| Food-safety, HACCP, labeling-compliance, regulatory or certification claims | Not stated | Not claimed on this page |
| Robot or policy results | Not stated | Not claimed on this page |
Formats
| Format | What the official documentation states | Used for here |
|---|---|---|
| RLDS | A dataset is retrieved as episodes, and each episode holds a dataset of steps (RLDS repository README) | Episode-based training loaders |
| LeRobot | LeRobotDataset 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 |
| WebDataset | Tar files in which files that belong together share a basename, split into numbered shards (WebDataset README) | Sharded streaming for large training runs |
| HDF5 and zarr | Stated by Firsthand only | Array storage for custom pipelines |
| Rerun .rrd | Stated by Firsthand only | Multi-stream synchronized playback for review |
Example footage
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.
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
Sources
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.