Geospatial Solutions
Human-reviewed geospatial annotation

Street imagery in.Accurate GIS data out.

Our annotation team finds every traffic sign in collected street-view imagery, places the GIS point, draws the bounding box, and classifies its type and condition.

Every record passes through a data annotator, QA/QC reviewer, GIS verifier, and client review—four sets of human eyes before delivery. The result is highly accurate, client-ready geodata delivered at record speed.

Precise point
Sign bounding box
Type + condition
4-stage review
Street frame 01486 · annotation review
GIS verified
Street-view image showing a traffic sign selected for geospatial annotation
R1-1 · STOP
POINT PLACED
BOX VERIFIED
CONDITION: GOOD

Review 1

Annotator

Review 2

QA/QC

Review 3

GIS verification

Review 4

Client review

See an annotation become GIS data

Interactive demo · representative records

Select a record to inspect its location, classification, condition, confidence, and review status. The sign library supports this demo; the delivered product is the verified geospatial dataset.

CategoryQAConf–

Showing 41 of 246 signs

Annotation Evidence
Regulatory
CaptureDec 23, 2024
FacingN
DistrictDowntown

Collected street frame

Sign localized and boxed

Annotator-selected evidence frame · demo visualization

Box verified
Collected street frame with a traffic sign annotation
R1-1
Point linked to frame
Point placedBox checkedAttributes complete

Classified attributes

Sign type

STOP

MUTCD code

R1-1

Roadway

3rd Ave & Yesler Way

Facing

N

Four-stage review

Traceable

1. Annotate

2. QA/QC

3. GIS

4. Client

QA Status

QA Passed

0 open flags

Review

Approved

JR

Confidence

98%

Condition

Good

Visibility not set

Sign library reference

Demo sign library

STOP

Classification aid only · 143 coded references

CodeR1-1
MUTCDR1-1
TextSTOP
Road3rd Ave & Yesler Way

Four sets of human eyes

Accuracy is a workflow, not a claim.

Each role has a distinct responsibility and a recorded handoff. Errors are corrected upstream, and every accepted feature has a review trail.

One record. Four independent checks.
01

Data annotator

Create the record

Locates the sign, draws a tight bounding box, places the point, and assigns type and condition.

Review recorded
02

QA/QC reviewer

Challenge the annotation

Checks missed signs, box placement, classification, condition, and attribute completeness.

Review recorded
03

GIS verification

Validate the geodata

Confirms coordinate accuracy, topology, schema, domains, and delivery readiness.

Review recorded
04

Client review

Accept with confidence

Reviews a transparent, traceable dataset and resolves final comments before acceptance.

Review recorded

The product we return

A client-ready geospatial dataset.

The sign library helps demonstrate classification. The deliverable is accurate, traceable geodata built from your imagery and shaped to your schema.

Delivery built around your system
ArcGIS feature layerFile geodatabaseGeoPackageGeoJSONShapefileCSV

Verified feature layer

A point feature for every accepted sign, with stable IDs, coordinates, classification, condition, and source-frame linkage.

Included in delivery

Annotation evidence

Bounding-box geometry and image references preserve exactly where each asset was identified in the collected imagery.

Included in delivery

Quality audit trail

Reviewer status, corrections, exception notes, and acceptance history make quality visible and defensible.

Included in delivery

Data dictionary

Field definitions, coded domains, condition rules, and classification guidance support immediate client use.

Included in delivery

Need a different schema or asset class?

We tailor the annotation rules, QA thresholds, and output to the project.

Discuss your imagery

More working examples

Explore More of Our Demos

Compare this sightline scoring tool with the full collection of mapping and geospatial decision tools we've built.

Browse All Demos

Implementation stack

Technologies We Work With

We choose the stack around the job: browser maps for decision surfaces, spatial databases for reliable data, Python and GIS libraries for analysis, and annotation tools when imagery needs reviewer-ready labels.

QGIS

GIS Software

ESRI ArcGIS

GIS Platform

PostgreSQL

Database

PostGIS

Spatial Database

AWS

Cloud Platform

Google Cloud

Cloud Platform

DuckDB

Analytics Database

OpenAI

AI Platform

Claude AI

AI Assistant

CVAT

Annotation Tool

Python

Programming

React

Frontend

Node.js

Backend

Docker

Containerization

Kubernetes

Orchestration

Azure

Cloud Platform

TensorFlow

Machine Learning

Pandas

Data Analysis

NumPy

Scientific Computing

Jupyter

Data Science

Git

Version Control

Linux

Operating System

Ubuntu

Operating System

Mapbox

Mapping Platform

Leaflet

Web Mapping

Fastapi

API Framework

GeoPandas

Geospatial Analysis

GDAL

Geospatial Library