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Kili

Kili.so is a data annotation platform that enables teams to label data for machine learning and artificial intelligence projects. It provides tools for annotating images, texts, audio, and video files with various annotation types like bounding boxes, polygons, semantic segmentation, and more.

The platform simplifies the data annotation process by offering features such as task management, quality control, workforce management, and collaborative annotation.

Kili.so is a data annotation platform that streamlines the process of creating labeled datasets for machine learning and artificial intelligence applications.



Pricing

  • Kili.so offers custom pricing based on project requirements
  • Pricing typically depends on the volume of data, annotation types, and workforce needs
  • Free trial or demo available upon request



Pros

  • User-friendly interface for efficient data annotation
  • Supports multiple annotation types and data formats
  • Customizable workflows and task templates
  • Integrates with popular machine learning frameworks
  • Scalable annotation workforce management

Cons

  • Limited annotation tools compared to some specialized software
  • Pricing may be higher for small teams or projects
  • Limited customization options for advanced use cases


Use Cases

  • Annotating datasets for computer vision tasks (object detection, segmentation, etc.)
  • Labeling text data for natural language processing (NLP) models
  • Annotating audio and video data for speech recognition or video analysis
  • Creating training data for various machine learning models

Target Market

  • Artificial intelligence and machine learning companies
  • Research institutions and academic organizations
  • Enterprises across various industries (healthcare, automotive, retail, etc.)
  • Computer vision and NLP startups


Competitors

  • Scale AI
  • Labelbox
  • Appen
  • CloudFactory
  • Amazon SageMaker Ground Truth