IMAGE ANNOTATION
CARCARPERSON
Bounding Box Annotation
2D/3D spatial localization with multi-class categorical tagging.
AI data annotation services
Human-validated labels for production-ready AI.
Full-spectrum annotation across image, video, text, audio, documents, LiDAR, geospatial and multimodal data, with measurable quality controls from pilot to delivery.
Request an Annotation PilotMULTIMODAL ANNOTATION
VISIONAUDIONLPENTITYOCR
Full-spectrum annotation
See what the work looks like across modalities.
Every example is synthetic and representative of a task type.
POLYGON ANNOTATION
VEHICLECYCLIST
Polygon Segmentation
Sub-pixel boundary contours for irregular, overlapping, and complex shapes.
SEMANTIC ANNOTATION
SKYBUILDINGVEGETATIONROADVEHICLE
Semantic Segmentation
Dense pixel-wise classification across complete scene environments.
KEYPOINT ANNOTATION
17 KEYPOINTS
Keypoint Annotation
Skeletal joint estimation, facial landmark tracking, and ergonomic pose points.
VIDEO ANNOTATION
ID 07F01ID 07F02ID 07F03ID 07F04
Multi-Object Tracking
Persistent identity (ID) attribution and trajectory mapping across continuous frames.
OCR ANNOTATION
INVOICE
Vendor Northstar Supply
Date 2026-08-14
Total $1,284.00
ITEM QTY AMOUNT
OCR Annotation
Structured field extraction, tabular data parsing, and text bounding polygons.
NLP ANNOTATION
MicrosoftORG opened a new office in LondonLOCATION.
Intent: announcementSentiment: neutral
NLP entity annotation
Entities highlighted with clear labels.
AUDIO ANNOTATION
Speaker A | 00:00-00:03Speaker B | 00:03-00:07
Audio segmentation
Speakers, timestamps and acoustic regions.
LIDAR ANNOTATION
VEHICLEPEDESTRIAN
3D LiDAR cuboids
Spatial objects and road structure.
Model-ready delivery
Outputs shaped for your stack.
JSONJSONLCSVXMLCOCOYOLOPascal VOCGeoJSONClient-defined
We align schemas, naming, metadata, media references, coordinate systems, dataset splits and packaging to the agreed downstream workflow.
Guidelines, issue logs, versioned exports and QA reporting keep delivery traceable.
Pilot to scale
A controlled annotation process.
01 Discovery
Define task, labels, edge cases, outputs and acceptance.
02 Pilot
Annotate representative data and expose ambiguity early.
03 Calibration
Train contributors and align decisions using reviewed examples.
04 Production
Run controlled batches with issue and change tracking.
05 Multi-level QA
Review, sample, adjudicate and rework against the quality plan.
06 Delivery
Validate and release versioned outputs with QA documentation.
Quality operating system
Prevent, detect, resolve and improve.
Project guidelines, qualification, calibration, gold tasks where appropriate, layered QA, consensus, adjudication, statistical sampling, error taxonomy, rework and acceptance reporting.
Security and governance controls are scoped per project; no unverified certification is claimed.
QA ANNOTATION
ANNOTATOR->REVIEWER->QA->ADJUDICATION->APPROVED
Frequently asked questions
Practical answers before the pilot.
Platform fit, access and workflow requirements are confirmed during scoping.
No. Targets depend on task definition, metric, ambiguity and acceptance criteria.
Yes. A representative pilot is the preferred way to validate guidelines, quality and delivery fit.
Project-specific access, transfer, retention, privacy and workforce controls are agreed before access begins.