It can be time consuming to create pixel-perfect labels consistently. Our segmentation editor has performant drawing tools that helps you do complex masks faster than ever.
Customize the labeling interface ontology with optional instance-based segmentation, custom attributes, nested classes, and much more.
Knowing feature counts and object analytics for your training data means informed decision making about the state of your model capabilities today and how to improve them. Labelbox puts all of this information and more at your fingertips.
Correct segmentations in real time using consensus, ensure labeling accuracy with benchmarks and set up review workflows to deliver pixel-perfect training data at scale.