Image Segmentation Services

iMerit supports semantic segmentation, instance segmentation, and panoptic segmentation across any image domain or taxonomy. We also provide polygon and boundary annotation for objects with complex or irregular contours, medical image segmentation (DICOM, NRRD, NIfTI), and satellite and aerial imagery segmentation. Every segmentation type is supported with custom QA rules calibrated to your pixel precision requirements.

Quality on segmentation programs is enforced structurally, not left to annotator judgment. We apply custom boundary validation rules that catch class violations, missed instances, and label inconsistencies at the pixel level before export. Production and QA are run as separate stages by separate teams. For medical programs, radiologists and clinical specialists validate organ boundaries, tumor delineations, and lesion margins at the QA stage.

Yes. iMerit supports DICOM, NRRD, and NIfTI formats natively. Medical segmentation programs include clinical expert review at the QA stage — radiologists and pathologists validate annotation accuracy, not just annotators. We are HIPAA compliant with full audit trails and strict data access controls for regulated healthcare programs.

Semantic segmentation assigns a class label to every pixel in an image (e.g. road, sky, building) but does not differentiate between separate instances of the same class. Instance segmentation gives each individual object a unique boundary mask and ID — distinguishing car A from car B, not just "car." Panoptic segmentation combines both. iMerit delivers all three types, with workflows designed to your specific use case and acceptance criteria.

Ambiguous boundaries and overlapping objects are automatically flagged during annotation and routed to senior annotators for review. We do not average away difficult cases — the hardest segmentation decisions receive the most scrutiny. Edge cases are documented, reviewed with the client where needed, and resolved consistently before delivery.

We can work directly in your annotation tools or run projects on Ango Hub, iMerit's purpose-built annotation platform. Labeled data is delivered into your training or evaluation pipeline via API or webhook in your preferred format — COCO, YOLO, Pascal VOC, or custom. No integration lift required on your end.

We begin with a scope and taxonomy alignment to define class hierarchy, boundary rules, and acceptance criteria. We then set up the annotation workflow, train the team on your taxonomy, and run a structured pilot batch to calibrate quality before scaling to production. Most programs can begin a pilot within one to two weeks of project kick-off.

iMerit delivers image segmentation across autonomous vehicles, medical AI (radiology, pathology, surgical AI), robotics, geospatial and satellite imagery, agriculture (crop and weed detection, plant health), industrial inspection (defect detection, surface analysis), and retail. Domain-specific teams are staffed and trained before any client project begins.