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Collaborative labeling results in more accurate annotations
Accurate labels result in Ground Truth training data
Ground Truth training data results in accurate models
The only end-to-end solution for managing internal data labeling projects.
Label Studio Community, our open source project, is a best-in-class data labeling tool for just about any data type and data science project.
Label Studio Team & Enterprise add management and annotator capabilities that facilitate and optimize collaborative data labeling, quality assurance & analytics, and are delivered through our secure SaaS platform.
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Heartex Label Studio powers collaborative data labeling for teams small and large. With Label Studio, you get:
Data labeling is a team sport. Data scientists, subject matter experts, engineers, operations, and annotators must work collaboratively to ensure quality results and an efficient process.
Book a 15-min demo
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Surface label quality issues early with real-time visibility into annotator performance and label quality.
We get that. That’s why we designed Label Studio to work with your data stored on your servers or cloud storage.
Data labeling is a team sport. Data scientists, subject matter experts, engineers, operations, and annotators must work collaboratively to ensure quality results and an efficient process.
Start Free TrialBook a 15-min demo
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