DatoricIndustrial First-Person Video Dataset
Available · 1080p+ video
Train physical AI systems on first-person workplace workflows that preserve hands, tools, objects, location context, operational phases, safety events, and completion outcomes.
Dataset specification
- 1080p+ egocentric workplace video
- Warehouse and industrial task labels
- Object, tool, and location labels
- Scan events
- Pick/place events
- Workflow phases
- Completion outcomes
- Safety-relevant labels
- Blur and exposure metrics
- Privacy redaction
- QA review
Intended uses
- Physical AI and workplace automation
- Industrial robotics and operations modeling
- Egocentric action and hand-object interaction recognition
- Workflow, completion, and safety-event prediction
Scope notes
- Site, task, contributor, capture-window, and workflow distributions are confirmed for the selected delivery.
- Safety-event labels and higher-resolution capture are available for applicable subsets and identified during review.
- Repository metadata illustrates the schema; real workplace video is supplied in the buyer review package.
Collection scope
Environments
- Warehouses and logistics facilities
- Retail backrooms and manufacturing floors
- Commercial cleaning and quality-inspection areas
Workflow coverage
- Picking, packing, scanning, stocking, sorting, inspection, and returns
- Assembly, equipment checks, cleaning, and workplace organization
- Hand-object, tool-use, scan, and pick or place events
Available scale
- Available program
- 1080p+ first-person workplace video where available
Buyer review package
- Annotation schema, data dictionary, and sample metadata in the repository
- Real video, JSON annotations, metadata, and QA summaries for review
- Target sites, workflows, contributors, capture window, and hours confirmed for the selected delivery
Annotation & metadata fields
- Task type and action segments
- Object, tool, and location-zone labels
- Hand-object interactions
- Scan and pick or place events
- Workflow phases and completion outcomes
- Safety-event labels where available
- Hand visibility, object visibility, blur, and exposure fields
- Privacy-redaction and QA review fields
Capture methodology
- Egocentric workplace video recorded from the contributor's point of view
- Operational workflows captured across warehouse, logistics, retail, manufacturing, inspection, and commercial settings
- Actions, objects, tools, location zones, scan events, workflow phases, and outcomes aligned to clips
- 1080p or higher capture used where available for the selected subset
Provenance & rights chain
- Worker and site consent documentation included in licensing review
- Commercial license and chain-of-custody record issued directly by Datoric
- Privacy-redaction requirements recorded with the selected delivery
- Collection and annotation activity handled under Datoric's published privacy notice
Quality, duplicates & PII
How submissions are reviewed and cleaned before they are accepted into the dataset.
- Blur, exposure, usable-video, hand-visibility, and object-visibility checks
- Annotation quality, workflow completion, and safety-event review
- Privacy redaction and identifier review
- Duplicate removal, malformed-record handling, and incomplete-workflow filtering
Formats & delivery
- MP4 video
- CSV metadata
- JSON annotations
- Thumbnails or preview frames
Rights & license scope
Licensed directly by Datoric for commercial AI training, with final scope controlled by the signed agreement for the selected delivery.
Version & verification
- Availability
- Available
- Datasheet version
- July 21, 2026
- Release date
- July 21, 2026
- Last verified
- July 21, 2026
- Owner
- Datoric
Frequently asked
- Which industrial workflows are represented?
- Coverage includes picking, packing, scanning, stocking, inventory, sorting, inspection, returns, assembly, cleaning, equipment checks, and related workplace workflows.
- Can we review footage from a target environment?
- Yes. The buyer review package can be scoped to target environments and workflows and includes real video, annotations, metadata, QA summaries, and licensing documentation.
- How is workplace privacy handled?
- The specification includes privacy-redaction review and buyer-visible QA fields. Site, contributor, and chain-of-custody documentation is reviewed for the selected delivery.
- Can Datoric collect at a new site or workflow?
- Yes. Custom programs can target facilities, workflows, roles, camera requirements, annotations, safety events, and acceptance criteria.