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Share Your Data
Upload raw images, video, text, audio, or LiDAR securely — we ingest from cloud storage, SFTP, or your existing ML pipeline.
Annotation service
Semantic Segmentation Services
Pixel-accurate semantic and instance segmentation masks for scene understanding, medical imaging, and autonomous perception models.
- Pixel-level mask accuracy
- Instance and semantic modes
- Medical and AV specialists
- Large tile and orthomosaic support
Service overview
Segmentation models need pixel-accurate masks — especially at class boundaries where detection boxes fail. Our semantic segmentation services deliver full-scene masks, instance segmentation, and panoptic labels for autonomous driving, medical imaging, agriculture, and geospatial AI.
Pixel accuracy at scale
Boundary errors inflate IoU loss and create ghost regions in deployed models. Annotators follow edge-priority guidelines with zoom-level review on thin structures — lanes, vessels, crop rows, and tool edges.
Segmentation modalities
Semantic class masks; instance masks for overlapping objects; panoptic combinations; depth-aligned segmentation for fusion models; video mask propagation across frame sequences.
Vertical expertise
Road and sidewalk parsing for AV; organ and lesion masks for radiology; weed and crop segmentation for agri-tech; building footprint extraction from satellite tiles; defect segmentation on manufacturing lines.
Large imagery workflows
Tiled annotation on orthomosaics and whole-slide pathology with cross-tile consistency checks. Drone and satellite programs scale to hundreds of thousands of tiles without losing boundary precision.
Exports for segmentation training
PNG masks, COCO segmentation JSON, Pascal VOC, and custom encodings — with color maps and class index documentation for your training pipelines.
Get started
Get segmentation masks your models can learn from. Share class definitions, imagery resolution, and IoU targets — we propose mask annotation workflow, tooling, and delivery schedule.
Industries we serve
Our annotation process
A proven calibration-to-production workflow for enterprise annotation programs.
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Project Analysis
We define labeling guidelines, class taxonomy, edge cases, and accuracy targets with your ML and product stakeholders.
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Annotation
Trained annotators label bounding boxes, masks, tracks, transcripts, or 3D cuboids in your toolchain or our workspace.
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Quality Assurance
Multi-pass review, consensus scoring, and automated checks before any dataset reaches your training jobs.
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Delivery & Support
Receive COCO, JSON, Pascal VOC, or custom exports — plus ongoing support as your models and taxonomies evolve.
Service FAQ
Answers about scope, quality, tooling, and delivery.
Both. Pixel-class masks for scene parsing and per-object instance masks for overlapping object classes.
Yes. Organ, lesion, and tissue segmentation with specialist QA loops for healthcare AI programs.
We tile orthomosaics and drone maps with consistent class boundaries across tile edges.
Ready to start your semantic segmentation services project?
Talk to our enterprise team about volume, timeline, QA targets, and pricing.