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Image Annotation

Precise labels for photographs, scans, and frames, from simple tags to pixel-level masks, delivered to your class definitions and quality criteria.

Image Annotation example

What we annotate

Common task types. Every project follows guidelines agreed with you at scoping.

Bounding boxes

Rectangular boxes around objects for detection models.

Polygons

Tight outlines for irregular shapes where boxes are too loose.

Semantic & instance segmentation

Pixel-level masks for every class or every individual object.

Keypoints & landmarks

Points on joints, faces, parts, or structures for pose and shape models.

Classification & tagging

Image-level labels and attributes such as type, condition, or quality.

Image quality review

Flagging blur, occlusion, duplicates, and unusable images before labelling.

AI Needs More Than Data.

Talk to our team about annotation programs, datasets, and enterprise AI infrastructure tailored to your domain.