io-ai®

Image & video annotation.

Precise, consistent labels for computer-vision models: from bounding boxes to fine polygon segmentation and temporal video action labeling.

polygon · box · keypoint

What we do.

Every task runs through our expert-managed QA pipeline, with PII masked and a reason recorded on every item.

Object detection & classification
Boxes and class labels across large, evolving taxonomies.
Semantic & instance segmentation
Pixel-accurate polygon masks, not loose boxes.
Keypoint & skeletal
Landmark and pose annotation for tracking and biomechanics.
Video action & event labeling
Temporal segments and precise event boundaries.
Attribute tagging
Fine-grained attributes on every object and frame.

Modalities & techniques

image video polygon box cuboid keypoint polyline

Delivered cabin-panel segmentation for Airbus and damage classification across dozens of defect classes for Uber AI at >98% accuracy.

FAQ.

The questions clients ask us most about image & video annotation.

We work with standard image and video formats and export to COCO, YOLO, Pascal VOC, CVAT and custom JSON, whatever your pipeline expects.
Every project runs on a written SOP, gold-standard examples and inter-annotator agreement checks, with a peer and auditor review layered on top.
Yes. We label in your platform when you have one, or in ours, and match your ontology and shortcuts exactly.
Let's talk

Tell us what you're building.

Send us your data challenge and we'll scope a pilot, usually within a couple of working days.