Ai annotator
Image annotation involves labeling visual data to make it understandable and usable for machine learning and AI models. The scope covers preparing high-quality annotated images that support computer vision tasks such as object detection, image classification, segmentation, facial recognition, medical imaging analysis, and autonomous systems.Semantic Segmentation – Labeling every pixel in an image according to object class.Small-scale projects: 1,000 – 10,000 images (pilot or model testing).Quality Assurance (QA): Multi-level review processes, including peer review and supervisor audits.