The Tagger

The Tagger

The Tagger is a free, open-source data labeling tool for annotating images, audio, and text. It allows users to quickly create projects, upload data sets, create labeling schemas, assign tasks to team members, and monitor labeling progress.
opensource data-annotation image-annotation audio-annotation text-annotation

The Tagger: Free Data Labeling Tool for Images, Audio & Text

The Tagger is a free, open-source data labeling tool for annotating images, audio, and text. It allows users to quickly create projects, upload data sets, create labeling schemas, assign tasks to team members, and monitor labeling progress.

What is The Tagger?

The Tagger is a feature-rich data labeling and annotation platform used to prepare machine learning datasets. As an open-source tool, it provides a free alternative to expensive commercial labeling solutions.

Some key capabilities include:

  • Image, text, audio, and video annotation
  • Customizable labeling interfaces and schemas
  • Collaboration tools for teams
  • Quality assurance workflows to validate annotations
  • REST APIs for integration and automation
  • On-premise or cloud deployment options

Ideal for companies with tight budgets, The Tagger delivers enterprise-grade capabilities focused specifically on data annotation, without the overhead of end-to-end machine learning platforms. The open-source model fosters a growing community contributing new feature development.

The Tagger Features

Features

  1. Image, audio, and text annotation
  2. Labeling schema creation
  3. Project and task management
  4. Progress monitoring
  5. Collaboration tools

Pricing

  • Open Source
  • Free

Pros

Free and open source

Intuitive interface

Support for multiple data types

Built-in collaboration features

Active community support

Cons

Limited customization options

No proprietary data hosting

Steep learning curve for advanced features


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