One class per pixel; no instance separation. Stuff classes (road, sky, vegetation) and thing classes (vehicle, pedestrian) treated identically.
USED FOR Road scene parsing, organ regions, land-use classification
IMAGE / VIDEO / LIDAR / MEDICAL
Pixel-accurate segmentation. Your taxonomy. Your evidence pack.
Semantic, instance, panoptic, 3D, and video segmentation for regulated CV teams. EEA processing by default, EU AI Act Article 10 evidence, kappa-gated production. SAM-assisted on natural images, human-only on medical, aerial, 3D and microscopy.
EU AI Act Article 10 210,000+ contributors EEA residency by default
PROCUREMENT READINESS
Compliance posture for segmentation training data.
Article 10 enforcement begins 2 December 2027 for standalone Annex III systems, 2 August 2028 for AI embedded in regulated products. YPAI ships every segmentation engagement with the artefacts a regulated buyer needs in their file.
Included with every delivery
Annotation guideline (versioned)
Gold set with documented injection rate
Per-class IoU report
Boundary F1 / HD95 for medical work
Records of processing (Article 30)
Signed DPA + sub-processor list
EU AI Act Article 10
Data governance for high-risk CV systems. Annotation provenance, bias-examination notes, class taxonomy documentation.
GDPR Articles 7, 28, 30
Per-contributor consent. Processor agreement. Records of processing. 30-day erasure SLA. Sub-processor change notifications.
EEA processing by default
Norwegian company. EEA processing by default. EEA-only sourcing on request. EU AI Act Article 10 evidence available per project.
Request the delivery documentation →
We map the delivery documentation to your modality, regulatory class, and deployment environment.
PRIMITIVE TYPES
Five segmentation primitives.
Which one you procure depends on what your model has to know. Ordering semantic masks when the model needs instance IDs means paying twice.
Each object gets a unique ID alongside its class. Counting becomes possible: 12 pedestrians, 4 cells, 3 defects per image.
USED FOR Counting, tracking, per-object measurement
Stuff classes get per-pixel labels. Thing classes get per-pixel labels plus instance IDs. One unified mask, two semantic regimes.
USED FOR Full scene understanding, autonomous driving stack
Each LiDAR point or voxel labelled with a class. Used in automotive (street scenes) and volumetric medical (3D CT, MRI organs).
USED FOR LiDAR perception, 3D medical imaging
Per-frame masks with consistent instance IDs across time. Object tracking, surgical phase, action recognition, motion analytics.
USED FOR Video annotation, surgical workflow, sports analytics
WHERE SEGMENTATION IS PROCURED
Five verticals where pixel-class matters.
Different industries, different ontologies, same delivery contract: EEA processing by default, kappa-gated production, Article 30 records on delivery.
Automotive ADAS
Cityscapes-aligned taxonomy. Pedestrian, cyclist, vehicle, lane, traffic-sign. EU AI Act Article 10 evidence available per project.
CityscapesALKSSOTIF
Medical imaging
Brain MRI tumour (BraTS protocol), kidney CT (KiTS), histopathology nuclei. DICOM SEG output, Dice + HD95 reporting.
BraTSDICOMHD95
Satellite + aerial
Land-use classification, road extraction, building footprints, deforestation. SpaceNet schemas, GeoJSON delivery.
SpaceNetGeoJSONfwIoU
Agriculture
Crop-vs-weed, fruit yield, canopy gap, disease zones. Multispectral capable. Drone + ground imagery.
MultispectralDroneYield
Industrial + robotics
Surface defect (scratch / dent / contamination), pick-and-place region masks, LiDAR fusion for warehouse / drone / construction. Quality gate masks.
DefectLiDARRobotics
HOW WE LABEL
Every project clears the same six gates.
Calibration before production. Documented mask-IoU thresholds. Human QA applied according to the agreed acceptance and sampling plan. The artefacts you need for your Article 10 file.
Schema design
Class taxonomy locked with your team. Aligned to public benchmark (Cityscapes, COCO-Stuff, BraTS, custom) or built fresh. Versioned.
Deliverable: Versioned schema spec
Annotation guideline
Edge cases enumerated per class. Boundary policy documented (snap-to-edge tolerance, occlusion handling, ambiguous class adjudication).
Deliverable: Annotation guideline document
Calibration round
Pilot batch on shared subset. Mask IoU between annotators computed. Disagreement patterns drive guideline refinement before scale.
Deliverable: Calibration mask-IoU report
IAA gate
Production starts only when calibration clears the task-specific agreement, mask, boundary, and class thresholds in the acceptance plan.
Deliverable: Signed record that the gate was cleared
Production labelling
SAM-assisted where domain-shift permits (natural images). Human-only on medical, aerial, 3D point cloud, and microscopy where SAM under-performs.
Deliverable: Labelled batches
QA + adjudication + delivery
Review coverage and gold-set injection follow the agreed acceptance and sampling plan. Per-annotator Dice gate. Delivery ships with per-class IoU, boundary F1 / HD95 for medical, and Article 30 records.
Deliverable: Final delivery pack with metrics report
Six gates. One trail of evidence. Every delivery.
WHAT WE DELIVER
Six scenes. Point at one to see its annotation mask.
Schematic previews. Production work is delivered against your raw imagery in your chosen taxonomy.
HOVER reveal annotation
HOVER reveal annotation
HOVER reveal annotation
HOVER reveal annotation
HOVER reveal annotation
HOVER reveal annotation
PUBLIC BENCHMARK COVERAGE
Taxonomy-aligned with the corpora your model trained on.
Public datasets are useful as taxonomies, baselines, and audit references. Most are research-licensed; production work runs against your own data under your engagement DPA. Licence status is part of the procurement record.
Cityscapes
Research onlyAutomotive street scenes
Mapillary Vistas
Research onlyAutomotive, global cities
BDD100K
Research onlyUS driving
A2D2
CommercialAutomotive (Audi)
COCO-Stuff
CommercialStuff + things general
ADE20K
CommercialScene parsing
BraTS
Research onlyBrain tumour MRI
KiTS
Research onlyKidney tumour CT
LIDC-IDRI
CommercialLung nodules
SA-1B
CommercialGeneral segmentation
SemanticKITTI
Research onlyLiDAR point cloud
DAVIS
Research onlyVideo object segmentation
Licence status reflects publicly stated terms at the dataset source. Check per engagement before any commercial training use.
WHAT YOU RECEIVE
Every delivery includes the records your Article 10 file needs.
The records a regulated buyer expects, included with every segmentation engagement.
01
Annotation guideline and boundary policy.
Versioned guideline with edge cases enumerated, examples per class, glossary of domain terms, and boundary tolerance rules. Updated as adjudication surfaces new patterns; every version preserved for audit.
02
Gold set with documented injection rate.
Held-out gold set injected at 5 to 10 percent during production. The rate is documented for you; annotators are not told which items are gold. Per-annotator Dice gate. Calibration before queue entry, blind re-runs on failure. Quarterly refresh.
03
Per-class IoU and boundary metrics.
Per-class IoU report on every delivery. Boundary F1 and HD95 for medical, fwIoU for satellite. Confusion matrix and top failure modes by frequency. Panoptic Quality for panoptic work.
04
Mask IoU inter-annotator report.
Pairwise mask IoU between annotators on the calibration subset. Target: the substantial agreement band in Landis and Koch. Per-class breakdown and per-annotator over-time trend.
05
Records of processing, DPA, and sub-processor list.
Article 30 records of processing, signed Article 28 DPA, lawful-basis documentation, 30-day erasure SLA, and full sub-processor list with Article 28(2) change notifications. All included with every engagement.
START A PROJECT
Brief us. We reply inside one EU business day.
Short brief now, deeper scoping in the reply.
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QUESTIONS
Frequently asked questions
Norwegian company, EEA processing by default, EEA-only sourcing on request. 30-day GDPR Article 17 erasure SLA. Norwegian jurisdiction; transfer controls and member-state region defined per engagement.
Yes. Per-engagement self-hosted CVAT or Label Studio project, dedicated access lists, no shared annotator pools across engagements. Infrastructure isolation and separation are specified per project in the DPA and security annex.
GDPR Article 28 processor obligations, EU AI Act Article 10 data governance, EEA residency by default, DPA-by-default, and isolation controls specified per project. Security artefacts package available on request.
Work product is customer-owned. YPAI keeps no reuse, resale or model-training rights. Sub-processor list disclosed at engagement start with Article 28(2) change notifications.
Opt-in only for medical pathology, defect, surveillance footage, and content with potential distress. Screening, rotation off sensitive batches, no-penalty opt-out. Specifics documented in the project brief.
GDPR jurisdiction EU AI Act Article 10 EEA operations Consent evidence
Brief us on your segmentation project.
Reply inside one EU business day. NDA on request. DPA included.
All 5 primitives Article 30 records per delivery
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