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Data Manager ​

The task page in Labelo is designed to provide a detailed view and management capabilities for the tasks within a project.

Once your project is set up and the labeling interface is configured, and after importing your data, you can organize and refine your dataset by applying filters and sorting options to get it ready for labeling.

Labelo datamanager

Task Actions ​

Delete Tasks or Annotations ​

  1. Open the project you want to do updates.
  2. Select a task from the project and click on the Actions button.
  3. Choose the Delete Tasks or Delete Annotations option from the dropdown.
  4. Click on OK from the modal appeared.

Assign Annotator or Reviewer ​

Assigning annotators and reviewers is a crucial step in managing data annotation projects efficiently. By assigning tasks to designated annotators and reviewers, you ensure that each task is handled by trained individuals, improving the accuracy and consistency of the annotations and review.

  1. Open the project you want to do updates.
  2. Select a task from the project and click on the “Actions” button.
  3. Choose the “Assign Annotator” or “Assign Reviewer” button from the dropdown.
  4. Choose the required annotators and reviewers from the modal appeared and assign them.

Filter Project Data ​

Filters allow you to refine the dataset to focus on specific tasks or items based on various criteria. This functionality can help streamline the labeling process, ensuring that annotators work on the most relevant or highest-priority tasks first.

Filter task

Note

You can add as many filters you want at a time. If you want to delete a filter, just click on the delete icon next to it.

Sort Project Data ​

Sorting data is a powerful feature that helps organize tasks in a specific order, making the labeling and reviewing process more structured and efficient. Sorting allows users to arrange tasks based on particular attributes or values within the dataset, improving workflow and prioritization.

Sort task

Import and Export Data ​

The import and export functionalities in Labelo's Data Manager play a crucial role in managing datasets throughout the labeling process. These features allow users to seamlessly bring in data for annotation and export the labeled data in formats suitable for machine learning models or other workflows.