The complexity lies in building and scaling a data-centric workflow. It’s expensive and time-consuming without the right platform. Learn how Labelbox's data engine is enabling machine learning and data science teams to build AI, remarkably fast.
Leverage an end-to-end system that features the full set of capabilities needed to improve your model’s performance.
Quickly search, explore and manage your data in one place. Accelerate AI development with raw data, metadata, and ground truth labels at your fingertips.Learn more
Access a full suite of labeling, collaboration, and quality tools that give you complete visibility and control over data labeling operations with in-house labeling teams and labeling service vendors. Leverage automation and custom workflows to make progress as quickly as possible.Learn more
Improve your model with better data. Model is the command center for data-centric iterations, including model error analysis, mining for edge cases, finding and fixing label quality issues, and more.Learn more
Access world-class data labeling services on-demand. Get started immediately with a labeling workforce designed for your needs. Quickly scale up or down as your AI initiatives evolve. Use Labelbox Boost for everything from the smallest to the largest labeling projects.Learn more
Native storage integration with all major cloud providers, flexible model training options, and a global network of premium data labeling service providers.
There is no silver bullet when it comes to techniques for building production AI applications. However, it is certain that production AI models require human supervision for peak performance. Labelbox is the only product that brings together data labeling tools & services, model-assisted labeling, unsupervised learning, semi-supervised learning, and weak supervision techniques, and much more.
We believe that your data is your intellectual property and should be treated as such. Labelbox never uses your data for any purpose including training models.
How Blue River Technology used model-assisted labeling to reduce labeling costs by 50%
High labeling costs associated with the costs of crops vs. weeds on full image segmentation images.
Labelbox’s model-assisted labeling and collaborative annotation suite.
The company is now able to standardize how they create and manage data all in a single location and using Labelbox's automation suite, they’ve seen a reduction in labeling times by 50%, worth millions of dollars in cost savings per year.
How Burberry harnesses Labelbox and Databricks to curate their strategic marketing assets
Retail and ecommerce
How Ancestry prioritizes collaboration and training data quality to enable genealogical breakthroughs with ML
Technology and software