Tasks

Annotate data on Mindkosh using tasks

A labeling task. Contains labels, images, annotation guide, images, workspace setting etc.

Tasks can be divided into labeling batches which can be assigned to users.

Visibility - Tasks belonging to a project are only visible to Admins, Project managers assigned to the project, and any user assigned to a batch that is part of the task.

Once created, images cannot be added/removed from the task. If you want to add more data, simply create another task with the new images within the same project.

Tasks can be in three modes

1. In progress - A task stays in this mode until at-least one batch is moved to validation mode

2. Validation - Once at-least one batch moves to validation.

3. Completed - When all batches of the task have been completed.

Orphan Tasks

Tasks that do not belong to any project. Orphan tasks are a quick way to get started. These can also be used as training tasks because they are visible to the entire organization

Visibility - Orphan tasks are visible and accessible to everyone within an organization. For this reason, while they are powerful, they should be created with care.

Creating a new task

Tasks need to be associated with an existing dataset to add data to them. Before you follow the following instructions, please make sure you have the dataset created, and that data has been added to it. Check out this guide to know more about datasets, and how to upload your data.

To create a new task, go to the Tasks page from the left sidebar, and click on the Create new task page.

Basic Settings

Enter basic details for your task

Parent Project (optional) If you would like to add this task to an existing project, you can choose one from here. You can also do this after creating a task.

Workflow modes Each batch of data starts in the Annotation mode and ends in Completed mode. You can choose to add other workflow modes here to suit your requirements. Note that this setting cannot be updated later.

Annotation type and tools Customize the tools visible on the annotation page. These can be updated later. For segmentation projects, please make sure to select polygon, which is the main method of drawing segmentation masks on Mindkosh.

Setup Labels

Setup the ontology for this task. If you already have the labels added to another task. You can copy them to the new task directly. For a detailed guide on setting up an ontology, please refer to this guide.

Upload data

You are now ready to add data to the task. To do this

Add Dataset Select an existing dataset of the appropriate data type.

Select Tags (optional) If you've added tags to your files, you can also choose to filter the data using them. For example, if you've added data from multiple cameras in the same dataset, and would like to create a task from left-camera only, you can tag them with left-cam, and choose this tag here.

Number of Batches (optional) If you would like your data to be distributed into multiple batches, you can do so here. Each batch can later be assigned to individual annotators, reviewers etc. If left blank, all data will be added to a single batch.

Labeling a task

To start labeling a task, go to the task page by clicking on the appropriate task on the Tasks page. And click on Label