Image annotation
Classification, bounding boxes, polygons and instance or semantic segmentation.
Image annotation →Collect and label image, video and spatial data with project-specific taxonomies, clear guidelines and human-in-the-loop quality review.
Classification, bounding boxes, polygons and instance or semantic segmentation.
Image annotation →Frame-based labels, object tracking and temporal events.
Video annotation →Cuboids, point-cloud segmentation and spatial labels for robotics and mobility.
3D & LiDAR annotation →Collection programs scoped to scene, geography, device, use and participant needs.
Plan data collection →Facial imagery for eligible AI research and evaluation, subject to consent, privacy and licensing review.
Request facial dataset details →Guideline calibration, reviewer sampling, edge-case escalation and final validation.
Review our quality approach →Share the input modalities, label schema, edge cases and delivery requirements. We will help map the annotation and collection workflow.
Talk to our data team