Top 10 Data Labeling Tools for 2022

Top 10 Data Labeling Tools for 2022

1. Amazon SageMaker Ground Truth

  • Amazon allows you to enter raw data.
  • Use the built-in workflow to create automatic labeling tasks.
  • Select the right labeler from the group.
  • Assistive labeling feature for labels
  • Create accurate training datasets.
  • It is easy to use and automatic.
  • It increases data labeling accuracy.
  • This feature allows for a significant reduction in time.

2. Label Studio

  • Data is taken from different APIs, files, and HTML markup.
  • Pipelines data to a labeling structure that includes three main sub-processes
  • Data entry task that collects data from different sources.
  • The final step results in labeling in JSON format.
  • Optional labeling results can be obtained in JSON format by the prediction process.
  • Machine learning backend uses efficient and popular ML frameworks to automatically create precise datasets.
  • Data labeling for different types of data is possible.
  • It is easy to use and it works automatically
  • It is accessible from any web browser and also can be embedded in personal applications.
  • High-level dataset with precise labeling workflow.

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