Labelbox
4.6
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Labelbox’s training data platform is engineered to help you improve your training data iteration loop. It is designed around three core pillars: the ability to Annotate data, Diagnose model performance, and Prioritize based on your results. With Labelbox, you can: - Decrease annotation costs by 50-80% by leveraging the latest in labeling automation, model-error analysis and active learning - Iterate 3x faster on your AI data to build more performant models - Collaborate more efficiently between data scientists, labelers and domain experts
Developer
Labelbox
HQ Location
San Francisco, California
Year Founded
2017
Number of Employees
145

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http://labelbox.com
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