Image Annotation Services for Complex Datasets
Specialized labeling tracks are assigned based on image type, object density, annotation rules, review depth, and the output format required by your training workflow.
Bounding Box Annotation
Create rectangular object labels for vehicles, people, products, signage, equipment, inventory items, and other detection targets in image datasets.
Polygon Annotation
Trace complex object contours where standard boxes do not capture visible edges, irregular shapes, overlaps, or partial object boundaries.
Semantic Segmentation
Label image pixels by category using approved class rules, mask formats, color maps, and ambiguity instructions for dense visual datasets.
Image Classification
Apply image-level categories using defined taxonomies, metadata fields, acceptance rules, and sorting logic for organized dataset preparation.
3D Cuboid Annotation
Mark object depth, orientation, and spatial placement for vehicles, shelves, rooms, infrastructure, equipment, and scene-based datasets.
Keypoint Annotation
Place landmark points on faces, bodies, products, or objects according to sequence rules, visibility conditions, and missing-point instructions.
Polyline Annotation
Trace lanes, roads, curbs, cables, borders, paths, and linear structures with continuity, intersection, and endpoint validation.
Rapid Annotation
Apply AI-augmented auto-label suggestions for recurring visual patterns, followed by label correction, reviewer checks, and approved dataset delivery.
