— Use Case · Warehouse Automation
Training data for the workflows that move goods.
Warehouses are repetitive enough to automate and varied enough to break models. dexset captures the picking, packing, sorting, and scanning workflows that logistics robots need to learn — with the SKU-level context attached.
Warehouse packing · Pick, scan, pack
— Capabilities
What warehouse datasets include.
Pick, pack, and sort workflows
Human demonstrations of core fulfillment tasks across bin types, item mixes, and station layouts.
SKU and bin metadata
Item identifiers, bin locations, and shelf context attached to every interaction.
Scanning and verification
Barcode scanning, label reading, and verification steps captured as part of the task sequence.
Pallet and bulk movement
Palletizing, depalletizing, and bulk handling workflows across equipment types.
Failure and exception cases
Jammed totes, damaged items, mislabeled stock, and the recovery behaviors humans use.
Multi-view station coverage
Synchronized ego and exo views of workstations for both manipulation and monitoring models.
— In Scope
Warehouse tasks captured.
— Compliance & Trust
Compliant by design, across every dataset.
From first consent form to final delivery, dexset workflows are built to meet data protection, security, and labor standards across the regions where we capture and the regions where our customers operate.
Informed consent
Every participant is briefed and signs a release before capture begins. Consent records attach to each clip, and withdrawal requests are honored across all delivered versions.
Privacy protection
Face blurring, anonymization, and exclusion zones are applied wherever required. We minimize personal data by design and never collect more than the task brief demands.
Data security
Footage is encrypted in transit and at rest, with role-based access controls, signed delivery URLs, and per-recipient transfer records on every dataset.
Regional compliance
Capture and delivery workflows are designed to align with GDPR and UK GDPR, CCPA/CPRA, PIPL, APPI, and LGPD requirements, with regional data-residency options where needed.
Traceability & audit
Source, consent, capture, environment, and annotation records persist for every dataset, supporting audits that run from raw footage to the exported training file.
Responsible sourcing
Capture operators, demonstrators, and annotators are fairly paid and work under documented, safe conditions — quality data should never come from exploitative labor.
— What Teams Say
Trusted by robotics teams.
★★★★★
“The egocentric hand-pose labels are the best we have evaluated. Our grasp success rate improved 18% after one fine-tuning round.”
Priya Raman
Manipulation Lead, AI Robotics Company
★★★★★
“Coverage scoring meant we knew exactly what variation we were missing before training, not after burning a GPU budget on it.”
Sofia Almeida
Perception Engineer, AI Robotics Company
★★★★★
“We sent one task brief and got back a dataset that loaded into our pipeline on the first try. Custom schema, zero rework.”
Marcus Chen
ML Infrastructure Lead, Independent Robotics Vendor
— FAQ
Frequently asked questions.
Which warehouse workflows do you capture?
Bin picking, packing, tote handling, shelf stocking, barcode scanning, sorting, palletizing, inventory movement, and returns handling — captured as complete task sequences with the verification steps humans actually perform.
Do datasets include SKU-level context?
Yes. Item identifiers, bin locations, and shelf context attach to every interaction, so models learn workflows grounded in the inventory structure they will operate within.
Can you capture in live facilities?
Yes, under your safety and operational constraints — typically during planned windows or in mirrored training areas. Where live capture is not possible, we reproduce station layouts in controlled environments.
Do you capture exceptions and failures?
Deliberately. Jammed totes, damaged items, mislabeled stock, and the recovery behaviors workers use are scripted into capture plans, because exceptions are where deployed systems actually fail.
Building for logistics environments?
We capture in real and controlled warehouse settings matched to your deployment.