Create Tasks

🎏The first step to construct wholesome collaborative annotaion workflow is to create a task flow. Here is the detailed guide for you to start creating tasks.

Getting Started

Team Admin/Owner can click Team Task Management tab under the Task module on BasicAI - > click Create a Task tab to start creating a new task. The platform supports two creation methods: Create a Task by Yourself or Create a Task by Templates.



Only Team Admin/Owner is able to create a task. Learn more details on Role & Permissions page.

How do I create a task flow?Please find the detailed guide below.


Hand-on-Hand Guide:

Create a Task by Yourself:

Step 1: Fill in Task Basics

Step 2: Upload Data from Dataset

Step 3: Configure Ontology&Instructions

Step 4: Set up QA Rules (Optional)

Step 5: Configure Workflow

Step 6: Publish


Create a Task by Templates:

Create a Task by Templates

Create a Task by Yourself

The overall process of creating a task includes 5 steps: Task Basics, Upload Data, Ontology & Instructions, QA Rules and Workflow. Please refer to the following flow chart for more details.


Task&Data Type Elaborations:

BasicAI platform currently supports the creation of task types including LiDAR Fusion, Image, Audio & Video, and Text data types. The scene types and annotation types supported for publishing different data types are:

LiDAR Fusion: Supports publishing single data, scenes, 4D BEV, and the annotation type can be selected as 'instance' or 'segmentation'

Image: Supports publishing single data and scenes, and the annotation type can be selected as 'instance' or 'segmentation'

Audio & Video: Only supports publishing single data, and annotated in the type of 'instance'

Text: Only supports publishing single data, and the annotation type can be selected as 'instance' or 'relation'

Step 1: Fill in Task Basics

  1. Fill in Task Name and select Create a Task by Yourself
  2. Select Data Type: LiDAR Fusion, Image, Audio & Video, or Text
  3. To bind the task to a project, select a project from the Link to a Projectdrop-down box
  4. Select Scenario Type: Scenario Type defines how to organize data in tasks, including Single Data, Scenes, 4D BEV (only for LiDAR Fusion). Single Data is designed for detection tasks only, while Scene supports tracking tasks.
  5. Select Annotation Type: Annotation Type determines how you would like to annotate your data, including Instance (annotation tools have bounding boxes, cuboids, polygons, etc.), Segmentation, and Relations(only for Text).

Step 2: Upload Data

You can either select an already existing dataset or upload a new one. To upload a new dataset, please find more details on the Upload Dataset page.

Please note: if you cannot find the data, please check if the data has been grouped into a scene in the dataset!

  1. Click on the previously-configured Dataset to upload data. The data type needs to be consistent.
  2. Click + Add and select data from the dataset; click Select Allin the upper left corner to select all the data. After selecting the data, click Confirm to complete uploading.


Re-Group Scene Function

If you choose 'Scene' as the data type when creating a new task, we have a function called Re-Group Scene. After uploading a scene form a dataset, if the amount of data from the scene is too large, you can click Regroup the Scene for Workers and fill in thenumber of data as a Scene input box to divide the large scene into smaller scenes, which is more convenient for workers to perform the task.

Step 3: Configure Ontology & Instructions

  1. Select Class & Classification from the configured ontology, or click Editto jump to the Dataset module for ontology set-up.
  2. Slide down the page, and if necessary, you can upload the operation instructions in PDF format for workers' reference.

Step 4: Set up QA Rules (Optional)

If you need to use automated QA functions for all the data in the task, you can enable the Rules button and select the QA rules from the rule list. You can click Configure on the right side of each rule to configure it, and click View Instruction to view the rule details and descriptions. If you do not need to configure system QA, you can directly click Nextto enter the next page.

Step 5: Configure Workflow


Workflow Settings

On the Workflow page, the following options are provided for setting up:

▶️Choose task type: single-task or multi-task type,

▶️Set task life stages: add review stages except annotation

▶️Assign admins and workers: choose annotators, reviewers, inspectors and task admins

▶️Select comment tags : choose comment tags from Commments Pool

▶️ Complete Task & Annotate settings

1️⃣ Task Distribution

Choose One Task or Multiple Tasks, depending on the amount of data to be annotated. If the amount of data is too large, you can choose to create Multiple Tasks.

  1. Select One Task: proceed with the subsequent setting options directly.
  2. Select Multiple Tasks: you need to configure the amount of data for each task and the task naming rules, then click the Regenerate Tasks button to generate the task details table.
  3. Click the Config button in the task sheet to enter the subsequent configuration pages for each task.

2️⃣ Workflow Setting

Set the life cycle to be experienced for tasks, assign workers to each stage, or share task jobs with external partners.

  1. Choose team members as annotators to do annotation work.
  2. Click Add Stage to add a review stage, and assign reviewers. Up to 5 review stages can be added.
  3. Set up Claim Size (the number of data that each worker can claim at a time) and Max Claim Duration (the maximum number of minutes allowed for finishing a claim of data) on each job card.
3️⃣ Assign Admins and Inspector

Assign Task Admin and Inspector to the task. Only the inspector has permission to accept the task.

4️⃣ Comments

Select comment tags that can be displayed on the tool page, such as Missed ,Wrong Object,Wrong Label,Not Fit, etc.

5️⃣ Task Settings
  1. When to Start controls when the task starts after it is published.
    1. Automatically: Start immediately after the task is published.
    2. All Stages Ready: If share the task with partners is selected in the workflow, the task will only start after all partners accept it.
    3. Wait for My Confirmation: Admins need to start the task manually.
  2. Data Accuracy: Set the accuracy threshold of data to determine whether the data is accurate. The default threshold is 95%.
  3. Choose whether to allow workers to view submitted data.
  4. Choose whether to allow group results to be included when calculating accuracy and miss rate.
6️⃣ Annotation Settings
  1. Choose whether results must have ontology classes or classifications. If yes, choose All Results, Non-Group Results, or Group Results Only.
  2. Choose whether the result can be allowed to exceed the image area.
  3. Choose whether submission can be allowed if the result exceeds the Class limit.
  4. Enable the Measure Tools button to configure measure tools if you need to configure auxiliary lines, auxiliary tools, or dividing lines.

Step 6: Publish

After configuring all the above steps, click Publish to complete task publishing. After publishing, all tasks will be displayed under Team Task Management.

Create a Task by Templates


Task Creation Templates

BasicAI provides users with several templates for quickly creating tasks for two types of data: 3D LiDAR and Image in the autonomous driving industry. The templates use prepared datasets and ontology settings, which can help users create tasks in a faster and more efficient way.

The currently available templates are shown in the table below. After clicking on the template card, detailed explanations of the template will appear on the right side of the page.

Data TypeTask Creation TemplatesRemarks
3D LiDARQuick Start3D LiDAR task creation quick start
3D LiDARPandaSet Detection TaskSuitable for creating PandaSet 2D/3D Object Detection tasks
3D LiDARPandaSet Tracking TaskBased on 50 continuous frames from PandaSet and 4 real-world classes
3D LiDARPandaSet DebugTaskUsers can debug model results and then make comparisons in the dataset
ImageCoCo Dataset Object DetectionBased on CoCo Dataset with 10 ontology classes without attributes
ImagePandaSet Classification TaskSuitable for creating PandaSet image classification tasks

After selecting a template, click Nextto enter the subsequent steps since Upload data, which are the same as explained in the Create a Task by Yourself section above, but the dataset and ontology configurations are provided by the selected template.


Go to the Work with Tasks page to learn how to start annotation, review and acceptance, etc.

For Task Admin (Project Manager), please find more information on Manage Tasks page about how to manage tasks.