01
PROJECT TYPE
Image · Detection + segmentation
Internal Demonstration Project
02
OBJECTIVE
Defined task
Demonstrate consistent object detection and segmentation with an independent validation layer.
03
DEMONSTRATION DATASET
Original synthetic input
An original synthetic warehouse environment containing boxes, pallets, workers and defined storage zones. The scene does not reproduce any operational facility.
04
ANNOTATION SCHEMA
Structured fields
- Object class
- Bounding box
- Instance mask
- Storage-zone label
- Occlusion state
- Review status
05
WORKFLOW
Managed execution sequence
- 01Confirm class definitions
- 02Annotate boxes and masks
- 03Apply storage-zone labels
- 04Run independent validation
- 05Correct boundary or class issues
- 06Finalize structured output
06
QA PROCESS
Independent review focus
- Detection completeness
- Mask-boundary review
- Class consistency
- Overlap and occlusion checks
- Independent validation status
07
EXAMPLE OUTPUT
Illustrative structured records
01package_024 · box + mask · reviewed
02pallet_006 · box + mask · corrected
03zone_cold_02 · region · reviewed
08
DELIVERY STRUCTURE
Reviewed handoff
- Detection annotations
- Instance segmentation masks
- Validation summary
- Correction log and delivery notes
DEMONSTRATION NOTICE
Internal Demonstration Project
Created to demonstrate Vantrel’s data operations workflow. No client or confidential data used.
Discuss a similar workflow