The training data platform for AI teams

A machine learning model is only as good as its training data. Labelbox is an end-to-end platform to create and manage high-quality training data all in one place, while supporting your production pipeline with powerful APIs.


Powerful image labeling tool for image classification, object detection and segmentation

When every pixel matters, you need accurate and intuitive image segmentation tools. Customize the tools to support your specific use case, including instances, custom attributes and much more.

  • Bounding box

  • Points & lines

  • Polygons

  • Instance segmentation toolkit (pen & superpixels)

  • Supports complex ontologies with nested classifications

  • Support for tiled imagery (slippy maps)

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Performant video labeling editor for cutting-edge computer vision

Label directly on the video up to 30 FPS with frame level. Additionally, Labelbox provides per frame label feature analytics enabling you to create better models faster.

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Creating training data for natural language intelligence has never been easier

Label text strings, conversations, paragraphs, and documents with fast & customizable classification and named entity recognition tools.

  • Text classification

  • Named entity recognition (beta)

  • Supports complex ontologies with nested classifications


Automated & dynamic task distribution to internal and external labeling teams

Label data with internal and external teams simultaneously. Review annotations collaboratively. Keep track of activity and progress.

Role-based access controls

Manage access to data and projects for your internal team members. Ensure access controls when working with a labeling service.

Labeler performance

Stay in the loop on internal and external labeler productivity and work quality.

External labeling workforce

Scale your labeling project with one-click outsourcing to one or multiple labeling services.


Reduce human labeling costs by 80% with model-based pre-labeling and active learning

Labelbox provides tools and workflows to choose the right data to label as well as pre-label the data with your models


Seed un-labeled data with model predictions as a starting point for the annotation process. Use your own model by integrating it with the Labelbox Prediction API.

Active learning

Always label the most important data with API driven labeling queue prioritization. This technique can greatly improve labeling productivity. Combine this with model-predicted labels as a starting point for the annotation process to see the largest improvements.


Bringing powerful analytics and insights around training data earlier

Training data

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.

Human performance

Get accurate insights into human labeling performance. Labelbox provides the ultimate transparency and standardization across internal and external labeling teams.


APIs for developers and data scientists

Labelbox is API-first so you can use it as infrastructure for your training data pipeline. Use our GraphQL and Python APIs to stream data into Labelbox, push labeled data into training environments, and programmatically work with your data.

    import Labelbox
    image_url = 'https://labelbox.com/tesla_model3.jpg'
    datasets = Labelbox.datasets()
      'dataset_id': datasets[0]['id'],
      'data': image_url

Import data row

Import labels

Import model prediction

Export label

Full API Reference

Unified infrastructure to create, edit, store and manage company wide training data.

Search, browse and curate all of your training data in one place. Investigate bad or inconsistent labels. Improve your training data collaboratively.

Start building production AI today.

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