Egy-I Data Annotation

delivers high-quality medical and non-medical annotation services for AI model training, supported by multi-layer QC, domain expertise, and scalable workflows built for accuracy and consistency. Annotation for, 2D/3D segmentation, organ labeling, vessel tracing, lesion detection Anatomical landmarks, measurements, and clinical review pipelines Support for diagnostic, surgical, and predictive AI systems : Product/shelf detection, OCR, barcode : Crop & disease segmentation, field mapping /: Object tracking, LiDAR, depth : Lane detection, traffic scenes, pedestrian/vehicle tracking /: PPE detection, site monitoring, hazard events : Defect detection, quality-control annotation : Roads, buildings, land use, change detection Bounding boxes Polygons Semantic & instance segmentation Polyline & keypoints (lanes, skeletons, landmarks) Video tracking & temporal labeling 3D segmentation (organs, vessels, bones) LiDAR & point-cloud labeling OCR & transcription for documents and receipts, & Arabic & English datasets Instruction tuning, dialogue annotation, NER, sentiment, intent, safety evaluation Tools: 3D Slicer, ITK-SNAP, CVAT, Labelbox, V7, Supervisely, Encord, Roboflow, Label Studio, Dataloop, RedBrick AI? Multi-layer QC from annotator to domain expert Scalable teams for small pilots or enterprise datasets Secure pipelines, NDA compliance, transparent reporting Free pilots