What Makes Image Annotation Reliable for Computer Vision? Taxonomy, Geometry, Edge Cases, and Human Review
A practical guide to reliable image annotation for computer vision—covering dataset eligibility, taxonomy, class definitions, bounding boxes, polygons, polylines, landmarks, segmentation, attributes, occlusion, edge cases, pre-annotation correction, human QA, schema validation, privacy, and reconciled delivery.