Explore our guides and examples to use and integrate Labelbox


Collaboratively annotate data with the internal team, your vendor, or Labelbox Boost Workforce data labeling service.

  1. Set up labeling project
  2. Set up ontology (task design)
  3. Import ground truth annotations
  4. Add members to your project


Organize, filter, visualize and explore labeled and unlabeled data with Catalog

  1. Create a dataset
  2. Bulk Classification
  3. Data curation


Train, test, and evaluate your models with the Model product

  1. Overview
  2. Import model predictions for model error analysis
  3. Model error analysis

What’s Next