Your first opportunity to manage how your team approaches their tasks comes on page 3 of adding a new dataset, where you'll be prompted to enter instructions for your team.
In the following page, you'll be able to define the annotation flow for your team. If you skip this step, you can always come back to it under the Settings tab of the dataset in question.
To set up a basic workflow, select who will be participating in each stage of your project. If you'd like to set up a workflow where only half of images are manually reviewed, for example, you can also select what percentage of images will be sent to the next stage.
You can add and rearrange stages, and make reviewer stages read-only, allowing reviewers to comment on errors without the ability to make or edit annotations.
Finally, determine the size of the batches your workers can automatically assign to themselves, and how those batches will be sorted
Select one or more pieces of data in the Datasets page to set the priority with which they are assigned
Once you've saved your workflow and created a new dataset, you can make changes to your team's instructions and workflow under the Settings page of the dataset.
The Settings page contains all of the options above, plus additional options for determining annotators' roles.
Next up we'll take a look at how annotators can self-assign batches, as well as how you can manually assign tasks from your dataset.
Updated almost 2 years ago