Task Types
A complete toolkit for image annotation
Combine AI image-labelling engines with human review to detect, segment, and classify objects across your images datasets at 10x pace.
From bounding boxes to pixel-level masks, the data labelling layer routes every image to the right vision modalities, auto-labelling engines provide results with confidence, while those above threeshold are passed automatically others are directly sent to a human reviewer so nothing gets shipped unverified.
Object detection, image classification, instance and semantic segmentation, keypoints, and document/OCR, all routed through the same Label layer.
Every image is scored by the engine best suited to its task. Labels above the configured confidence threshold are accepted automatically, everything else is queued for a human reviewer.
Yes. Ontologies are configured per project, from flat tag lists to nested, multi-level classification schemas.
Every delivery includes data-level and task-level quality metrics, plus a full audit trail suppourted by lineage report.
Labeled image data flows directly into Version for lineage tracking and Observability for production drift monitoring with no intervention of export step.