High-fidelity polygon labelling for objects that resist rectangular boxes — rooftops, agricultural plots, anatomical structures, and irregular industrial components. Our annotators produce tight, accurate outlines that unlock precision AI for any shape.
Polygonal annotation traces the exact boundary of non-rectangular objects using a series of vertices connected into a polygon. This produces far richer training data than bounding boxes, especially for objects that overlap, cluster, or have complex outlines.
Our teams excel at high-vertex-count polygons for agricultural boundaries and building footprints, as well as fine-grained medical annotation where boundary accuracy directly affects diagnostic AI performance.
We support annotation in standard polygon formats and integrate directly with GIS tools like QGIS and ArcGIS. All polygons are validated for topology correctness before delivery.
Building footprint annotation for solar potential assessment, insurance risk modelling, and urban planning AI. We annotate rooftop outlines, ridgelines, and obstructions across dense city and suburban aerial imagery.
Crop field boundaries from satellite and drone imagery for yield monitoring and resource allocation AI. We delineate individual plot boundaries, irrigation channels, and orchard rows with topologically correct polygons.
Anatomical structure delineation for radiology and pathology AI models. Our biomedical-trained annotators trace organ contours, lesion boundaries, and tissue regions in CT, MRI, and histopathology imagery.
Land parcel, road network, and water body boundary annotation for GIS and cadastral AI systems. We produce topologically valid polygon datasets that integrate directly into GIS workflows and spatial databases.
Component and defect shape annotation for manufacturing quality assurance AI. Polygon precision captures the exact morphology of cracks, chips, and irregular components that bounding boxes simply cannot represent.
Forest cover, deforestation boundary, and wetland extent mapping from multi-temporal satellite imagery. We support large-area environmental AI projects with scalable polygon annotation and change-detection labels.
Minimum vertex count, topology rules, overlap policies, and boundary snapping tolerances are defined per object class. We create illustrated annotation guides to ensure every annotator draws consistent, production-quality polygons from day one.
Sample images are annotated and reviewed for boundary accuracy and topological validity. IoU scores against reference polygons are measured, and guidelines are refined before full production begins — eliminating systematic errors early.
Scalable annotation with per-polygon QA and inter-rater agreement monitoring. Teams are organised by domain specialisation — GIS specialists for geospatial datasets, biomedical annotators for medical imagery.
Self-intersection checks, gap detection, and topological relationship validation are run on every batch before delivery. Output is provided in GeoJSON, Shapefile, COCO polygon, or any custom format your pipeline requires.
Polygons follow the true object outline with no wasted bounding box space. Our annotators are trained to minimise vertex count while maximising shape fidelity — producing clean, efficient polygon data.
Native support for geospatial formats including GeoJSON, Shapefile, and GeoPackage. Our outputs integrate directly into QGIS, ArcGIS, and PostGIS workflows without manual conversion or reprojection.
Annotation workflows certified for diagnostic AI applications. Biomedical-trained annotators follow radiologist-defined guidelines, and all medical imagery is handled under HIPAA-aligned data security protocols.
ISO 27001 ensures satellite, aerial, and medical imagery stays confidential. All projects operate under signed NDAs with encrypted data transfer, access-controlled annotation environments, and audit trails.
Ramp up polygon throughput for large aerial or satellite datasets. Our managed teams can process millions of polygons per month with consistent quality, meeting even the most demanding project timelines.
Africa's talent pool delivers premium polygon quality at competitive rates. You access the same precision and throughput as US and EU annotation providers at 40–60% lower cost — without any quality trade-off.
Get a custom quote within 24 hours. Our team is ready to discuss your dataset requirements and timeline.