Workplace safety vision · Image + video

Warehouse PPE Detection

A visual dataset concept for detecting required protective equipment and restricted-zone safety events across realistic warehouse environments.

Catalogue statusIllustrative custom specification
Reference volumeIllustrative 48K-frame specification
Delivery modelScoped pilot → versioned production
Designed for

Computer-vision teams building workplace safety, compliance monitoring and incident-prevention systems.

Every specification is adapted to the buyer's model, production environment, data rights and measurable acceptance criteria.

Primary use cases
  • Helmet, vest and safety-shoe detection
  • Restricted-zone intrusion detection
  • Worker-level PPE compliance scoring
  • Safety-event evaluation benchmarks
Annotation schema

Labels tied to model behaviour.

  • person bounding box
  • helmet state
  • reflective vest state
  • safety-shoe visibility
  • restricted-zone polygon
  • occlusion level
  • camera condition
Coverage design

Variation before volume.

  • Indoor and semi-outdoor facilities
  • Day, night and mixed lighting
  • Fixed CCTV and handheld views
  • Occlusion, crowding and distant subjects
  • Different uniform and PPE styles
Quality target

Target: ≥97% audited label acceptance on an agreed sample

Targets are agreed during scoping and reported only after measurement on the applicable delivery.

Quality controls
  • Gold-set reviewer calibration
  • Geometry and class audits
  • Edge-case oversampling
  • Cross-frame consistency checks
  • Defect taxonomy with rework tracking
Delivery format

COCO JSON, YOLO export and MP4/JPEG media

Buyer-specific schema and storage requirements can be incorporated before production.

Example file package
01images/ or videos/
02annotations_coco.json
03classes.yaml
04splits.csv
05dataset_card.md
06quality_report.pdf
Documentation included

Evidence travels with the files.

  • Source and rights summary
  • Capture and coverage specification
  • Annotation guide with positive and negative examples
  • Sampling and acceptance report
  • Known limitations and version manifest
Known limitations

What buyers should understand.

  • Illustrative catalogue specification—not a ready-made licensed dataset
  • Final geography, camera mix and PPE classes require project scoping
  • Performance depends on production-environment similarity
Build from this pattern

Turn your requirement into a pilot.

Share the model objective, target environment, approximate volume and delivery constraints. We will respond with the questions needed to scope a credible dataset.

Request this dataset pattern