| Name | Label Studio |
| Overview | Label Studio is an open-source data labeling platform that supports annotation across multiple data types, including text, audio, video, and images. It offers customizable templates, machine learning-assisted labeling, and seamless integration into ML pipelines via APIs. The platform ensures collaborative workflow management, making it ideal for teams working on AI model training and validation. |
| Main Features | – Annotation of text, audio, image, and video data – ML-assisted labeling – APIs for seamless integration – Customizable workflows and templates – Webhooks for automation |
| Benefits | – Accelerates training data preparation – Supports multi-format data annotations – Enables smooth collaboration – Integrates easily with machine learning workflows – Open-source flexibility |
| Role of Use | – Data annotation – Model validation – Quality control of datasets – Collaboration within AI teams |
| Target Audience | Data scientists, ML engineers, AI researchers, annotation teams, enterprises building AI solutions |
| Pricing | Free and open-source; additional enterprise features may be offered via extended services. |
| Tags | Data labeling, open-source, machine learning, annotation, AI tools |
| App available? | No, you can only use Label Studio on website platforms. |
Label Studio
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Introduction
Label Studio is an open-source data labeling platform designed for text, image, video, and audio annotation. It offers customizable workflows, ML-assisted labeling, and seamless integration for AI model training. Learn more at Label Studio.
Category: Data analysis
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