Bounding box, polygon, point and line tools enable you to construct a predictable pipeline of high-quality training data that will teach your ML-powered computer vision system to find and identify objects in image and video data.
With a focus on speed, simplicity and use case diversity, this is simply the most powerful vector labeling tool on the planet. It's also the most intuitive. Configure in minutes, scale up to any size team, and create the right training data through rapid iteration.
Points & lines
Configure the label editor to your exact data structure (ontology) requirements. Vector geometry, classifications, custom attributes, hierarchical relationships and much more is available to tailor-fit your use case.
Track object counts and leverage detailed analytics about your training data so that you make informed decisions about where issues are arising and where to double down on what's working well.
Correct segmentations in real time using consensus, ensure labeling accuracy with benchmarks and set up review workflows to deliver the right training data at scale.