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anotación multimedia

  • An open source data labeling tool for all data types.
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    What is Label Studio?
    Label Studio is a robust open-source data labeling tool designed to handle various data types such as text, images, audio, and video. It enables data scientists and machine learning engineers to create high-quality training data. The platform offers interactive labeling, model evaluation, and the integration of popular ML models for pre-labeling tasks. Label Studio supports multi-user collaboration and provides both community and enterprise versions to suit different needs.
    Label Studio Core Features
    • Supports multiple data types
    • Interactive labeling
    • Model evaluation integration
    • Multi-user collaboration
    • Flexible deployment options
    Label Studio Pro & Cons

    The Cons

    Requires technical knowledge to install and configure, not as straightforward for non-technical users.
    Some advanced features may require additional setup and familiarity with ML workflows.
    The platform does not provide native iOS or Android apps, limiting mobile accessibility.

    The Pros

    Supports a wide range of data types for labeling including images, audio, text, video, and time series.
    Open-source with active community support and contributions.
    Integrates well with machine learning pipelines via APIs and Python SDK.
    Includes ML-assisted labeling features to speed up data annotation.
    Highly configurable and adaptable to different workflows.
    Cloud storage integration for scalable data management.
    Label Studio Pricing
    Has free planNo
    Free trial details
    Pricing model
    Is credit card requiredNo
    Has lifetime planNo
    Billing frequency
    For the latest prices, please visit: https://labelstud.io
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