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What is Label Studio?

Open Source Data Labeling | Label Studio 1.11.0

Label Studio is a versatile data labeling platform designed to fine-tune machine learning models, prepare training data, and validate AI models. With features like ML model pre-labeling and customizable tagging, users can efficiently label various data types including images, audio, text, time series, and video. The tool supports tasks such as image classification, object detection, audio transcription, sentiment analysis, and optical character recognition, making it suitable for a wide range of applications in NLP, computer vision, and IoT devices. Beyond its labeling capabilities, Label Studio offers configurable layouts, integration with ML/AI pipelines, and cloud storage connectivity, enabling users to streamline their data labeling workflow and enhance model accuracy. Trusted by a global community of data scientists, Label Studio is a powerful tool for accurate and efficient data annotation.

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⭐ Label Studio Core features

  • ✔️ ML model pre-labeling
  • ✔️ Customizable tagging
  • ✔️ Support for various data types (images, audio, text, time series, video)
  • ✔️ Support for multiple tasks (image classification, object detection, audio transcription, sentiment analysis, optical character recognition)
  • ✔️ Configurable layouts and integration with ML/AI pipelines

⚙️ Label Studio use case ideas

  1. Accelerate the training process of image classification models by utilizing Label Studio's customizable tagging and ML model pre-labeling features, allowing data scientists to efficiently label large datasets for improved model accuracy.
  2. Enhance the accuracy of object detection algorithms by leveraging Label Studio's versatile data labeling platform to annotate images with bounding boxes, polygons, or key points, enabling precise model training for various computer vision applications.
  3. Streamline the data annotation workflow for audio transcription tasks using Label Studio's support for labeling audio data, including speech-to-text transcription and annotation validation, ensuring high-quality training data for speech recognition models.

🙋‍♂️ Users of this tool

Machine learning engineers
Ai researchers
Data scientists
Data analysts
Nlp practitioners
Computer vision engineers
Iot developers

💰 Label Studio Pricing

Prices are subject to change. Always verify pricing information.

Basic

$10

Premium

$20
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❓ Label Studio FAQ

Label Studio is an open-source, versatile data labeling platform for ML models. It provides customizable tagging for various data types (images, audio, text, video) and streamlines labeling workflows for NLP, computer vision, and IoT projects, improving model accuracy.
Getting started with Label Studio is easy! Simply visit the official website and sign up for an account to start.
Label Studio uses a Subscription pricing model
The typical users of Label Studio include:
  • Machine learning engineers
  • Ai researchers
  • Data scientists
  • Data analysts
  • Nlp practitioners
  • Computer vision engineers
  • Iot developers
Yes, Label Studio provides an API that developers can use to integrate its AI capabilities into their own applications.
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Label Studio enjoys a popularity rating of 5.3/10 on our platform as of today compared to other tools. It receives an estimated average of 85.0K visits per month, indicating interest and engagement among users.