In Annotab Studio, workflows are fundamental to project management. This document provides an overview of workflows, detailing their stages and how to set them up.


Advanced Features

1 min


Annotab Team

Workflow Overview

A workflow in Annotab Studio guides your project's progress. Let's delve into the essentials: 

Workflow Stages

  1. Default Workflow Template: 

When initiating a new project, Annotab Studio employs a default workflow comprising three compulsory stages: 

  • Dataset: Newly imported data resides here. 

  • Annotation: Annotators work on the data, adding annotations. 

  • Completed: Annotations has been accepted. Data is ready for export/ training.

  1. Customizing Your Workflow:

To create your own workflow:

  • Drag and drop elements onto the workspace.

  • Connect these elements using joints to define your flow.  

  • Modify your workflow anytime by navigating to Dataset > Workflow > Modify after creation.

Available Workflow Stages

Annotab Studio offers diverse stages tailored to your needs: 

  • Dataset: Uploaded files for annotation or training are in this stage.

  • Annotation: Annotators work here, adding annotations to the dataset. 

  • Review: Reviewers ensure annotated data's readiness for use, taking appropriate actions based on the stage settings. 

  • Archive:  Archive data is stored separately from the dataset, but is accessible within it. When generating a new version or training a model, archive data is excluded. To include archive data, move it from "Archive" to "Dataset".

  • Sampling: Randomly divide a dataset into smaller sets. A percentage of randomly selected data will be sent through different paths in workflow.

  • Completed: Annotations has been accepted. Data is ready for export/ training.

Feel empowered to design workflows that precisely match your project's demands.

Happy annotating!


Nov 8, 2023

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