EGY-I Information

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. 📌 𝗠𝗲𝗱𝗶𝗰𝗮𝗹 𝗔𝗻𝗻𝗼𝘁𝗮𝘁𝗶𝗼𝗻 Annotation for 𝗖𝗧, 𝗠𝗥𝗜, 𝗖𝗕𝗖𝗧, 𝗫-𝗿𝗮𝘆, 𝗨𝗹𝘁𝗿𝗮𝘀𝗼𝘂𝗻𝗱, 𝗣𝗮𝘁𝗵𝗼𝗹𝗼𝗴𝘆, 𝗦𝘂𝗿𝗴𝗶𝗰𝗮𝗹 𝗱𝗮𝘁𝗮 2D/3D segmentation, organ labeling, vessel tracing, lesion detection Anatomical landmarks, measurements, and clinical review pipelines Support for diagnostic, surgical, and predictive AI systems 📌 𝗚𝗲𝗻𝗲𝗿𝗮𝗹 𝗮𝗻𝗻𝗼𝘁𝗮𝘁𝗶𝗼𝗻 𝗥𝗲𝘁𝗮𝗶𝗹: Product/shelf detection, OCR, barcode 𝗔𝗴𝗿𝗶𝗰𝘂𝗹𝘁𝘂𝗿𝗲: Crop & disease segmentation, field mapping 𝗥𝗼𝗯𝗼𝘁𝗶𝗰𝘀 / 𝗔𝘂𝘁𝗼𝗻𝗼𝗺𝗼𝘂𝘀: Object tracking, LiDAR, depth 𝗔𝘂𝘁𝗼𝗺𝗼𝘁𝗶𝘃𝗲: Lane detection, traffic scenes, pedestrian/vehicle tracking 𝗖𝗼𝗻𝘀𝘁𝗿𝘂𝗰𝘁𝗶𝗼𝗻 / 𝗦𝗺𝗮𝗿𝘁 𝗖𝗶𝘁𝗶𝗲𝘀: PPE detection, site monitoring, hazard events 𝗠𝗮𝗻𝘂𝗳𝗮𝗰𝘁𝘂𝗿𝗶𝗻𝗴: Defect detection, quality-control annotation 𝗚𝗲𝗼𝘀𝗽𝗮𝘁𝗶𝗮𝗹: Roads, buildings, land use, change detection 📌 𝗔𝗻𝗻𝗼𝘁𝗮𝘁𝗶𝗼𝗻 𝗦𝗸𝗶𝗹𝗹𝘀 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 📌 𝗟𝗟𝗠 𝗧𝗿𝗮𝗶𝗻𝗶𝗻𝗴, 𝗣𝗿𝗼𝗺𝗽𝘁 𝗲𝗻𝗴𝗶𝗻𝗲𝗲𝗿𝗶𝗻𝗴 & 𝗡𝗟𝗣 Arabic & English datasets Instruction tuning, dialogue annotation, NER, sentiment, intent, safety evaluation 📌 𝗧𝗲𝗰𝗵𝗻𝗶𝗰𝗮𝗹 𝗘𝘅𝗽𝗲𝗿𝘁𝗶𝘀𝗲 Tools: 3D Slicer, ITK-SNAP, CVAT, Labelbox, V7, Supervisely, Encord, Roboflow, Label Studio, Dataloop, RedBrick AI 📌 𝗪𝗵𝘆 𝗘𝗚𝗬-𝗜? Multi-layer QC from annotator to domain expert Scalable teams for small pilots or enterprise datasets Secure pipelines, NDA compliance, transparent reporting Free pilots