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Label Studio

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Why choose Label Studio over NaturalReaders?

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Features Label Studio

  • Configurable layouts and templates

    This feature allows users to adapt their dataset and workflow to custom-determined models, enhancing working efficiency.

  • ML/AI pipeline integration

    Through Webhooks, Python SDK and API, users can create projects, import tasks, manage model predictions, enhancing project management.

  • ML-assisted labeling

    Save time by using AI-powered predictive modeling in the labeling process, improving results accuracy and reducing manual work.

  • Cloud storage connection

    Directly label data in your S3 and GCP cloud storage, simplifying data management and accessibility.

  • Advanced Data Manager

    Using advanced filters, prepare and manage your dataset in our Data Manager, having a better organization of your data.

  • Support for multiple projects and users

    This feature allows teams to work on multiple projects, use cases and data types simultaneously, enhancing team collaboration.

  • Large Community Members

    Being a part of a large community of Data Scientists offers networking opportunities and expert guidance for enhancing models.

  • Flexible and Configurable

    Adaptability enables you to optimally design your labeling process and seamlessly integrates with your existing infrastructure.

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