A quick look at how Graveiens AI partners with teams to deliver human data for AI models.
A computer-vision model is only as good as the labels it learns from. Our image annotation and labeling services cover the full range of vision tasks — bounding boxes, segmentation, key-points, OCR, video tracking and 3D/LiDAR — applied consistently to your ontology and benchmarked against a gold standard. The same team can run image data collection and feed labels into your broader data annotation services pipeline.
Get a labeled vision sampleFrom bounding boxes to point clouds, we build and label the visual data your CV models need to perform in the real world.
Trained annotators and reviewers apply your ontology consistently, with QA at every stage so your detection and segmentation models train on image annotation they can trust.
See data annotation servicesSegmentation and object labels on LiDAR and multi-sensor data for autonomous systems and robotics — consistent across frames and sensors.
Explore ADASVision models are only as good as their labels. Graveiens AI delivers image and video annotation — bounding boxes, polygons, keypoints, segmentation and 3D — adapted to your ontology and held to a measured accuracy bar, so your detection, classification and segmentation models train on clean, consistent data.
From millions of everyday images to specialist medical and industrial imagery, our trained annotators and domain reviewers work through a four-stage quality workflow that keeps labels accurate at scale.
Talk to our vision data teamEvery label type your models need, at scale.
2D/3D bounding boxes and tracking for object detection and tracking.
Polygon, semantic and instance segmentation for pixel-level understanding.
Landmark and pose annotation for faces, bodies and objects.
Frame-accurate labelling and interpolation for temporal models.
Representative computer-vision programmes we support.
Training data for retail, security and industrial vision.
Expert-reviewed labels for diagnostic models.
Perception data for driving and robotics.
We adapt annotation tooling and guidelines to your ontology rather than forcing you into ours, and hold quality with gold-standard checks and four-stage review. Pay-on-approval delivery means you validate accuracy before scaling a first vision pilot. Collecting first-person footage for robotics or embodied AI? See our egocentric video data collection services — or, for background, read our primer on what egocentric video is and why first-person footage matters.
Start a vision pilotHow our image annotation and labeling services compare with other providers on focus, modalities and QA.
| Provider | Core focus | Modalities | QA / accuracy approach | Engagement model |
|---|---|---|---|---|
| Graveiens AIUs | Image annotation and labeling for computer vision | Image, video, 3D/LiDAR | Four-stage QA vs a gold standard, ISO 9001:2017 | Pay-on-approval pilots, managed teams |
| Macgence | Image and video annotation for CV | Image, video | Managed workforce with human QA | Project-based managed teams |
| Cogito Tech | Computer vision data annotation | Image, video, text | Human-in-the-loop QA | Managed teams |
| Shaip | Healthcare imaging and CV data | Image, video, text | Domain-expert QA | Off-the-shelf datasets plus services |
| iMerit | Image, video and geospatial annotation | Image, video, geospatial | Expert-in-the-loop QA | Dedicated managed teams |
| Sama | Image and video annotation for CV | Image, video, sensor | SamaAssure QA | Managed workforce |
| Surge AI | Multimodal and vision-language data | Image, text, dialogue | Expert human raters | API plus managed service |
Compliance-first delivery and a pay-on-approval model that de-risks every engagement.
Measured against a gold-standard set.
We adapt tooling and guidelines to your labels.
Compliant collection with an audit trail.
Invoiced only for approved deliverables.
Send us a sample task. You only pay for deliverables you approve.
Book a pilot