FieldDetails
NameLabel Studio
OverviewLabel Studio is an open-source data labeling platform designed to enhance machine learning models, prepare training data, and validate artificial intelligence models. It supports multiple data types, such as images, audio, text, time series, and videos, and enables efficient labeling through features like machine learning model pre-labeling and customizable tagging. With capabilities for various tasks including image classification, object detection, audio transcription, sentiment analysis, and optical character recognition, it is ideal for applications in natural language processing, computer vision, and IoT. Label Studio offers integration with machine learning pipelines and cloud storage, facilitating a streamlined data labeling workflow aimed at improving model accuracy.
Key features & benefits
  • ML model pre-labeling for enhanced efficiency.
  • Customizable tagging options for flexible data annotation.
  • Support for diverse data types: images, audio, text, time series, and video.
  • Versatility across multiple tasks, including image classification and object detection.
  • Configurable layouts that integrate with machine learning and AI pipelines.
Use cases and applications
  • Speed up the training of image classification models using customizable tagging and pre-labeling.
  • Improve object detection model accuracy through precise image annotation using bounding boxes and shapes.
  • Enhance audio transcription workflows via labeling and transcription validation for speech recognition models.
Who uses?Machine learning engineers, AI researchers, data scientists, data analysts, NLP practitioners, computer vision engineers, IoT developers.
PricingSubscription model:

  • Basic plan: $10
  • Premium plan: $20

**Pricing is subject to change, verify @ Label Studio

TagsData labeling, AI annotation, Machine learning, Data preparation
App available?No

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