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Info

Note: This subsection does not pertain to individuals using a serverless setup for CVAT

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titleNotes from google doc

Open Chrome

Go to https://app.cvat.ai/auth/login

https://docs.cvat.ai/docs/manual/basics/registration/

Login with NCSU Google account

Set up CVAT with NCSU Google account

Continue with Google

Select the correct account

Login to NCSU account

Allow CVAT access to google account

Taken from NCSU IT documents

On your computer, go to Gmail.

If you are already signed into a personal or other Google account and it takes you directly to your inbox, try signing into multiple accounts.

If the login information for your personal or other Google account is automatically filled in, select Use another account.

If you see a page describing Gmail instead of the sign-in page, select Sign in in the top-right corner of the page.

In the Email or Phone field, enter [your Unity ID]@ncsu.edu and select Next.

On the Shibboleth Login Service page, enter your Unity ID and Password and select LOG IN.

Authenticate with Duo if prompted.

If prompted with the question "The information below would be shared with the service if you proceed. Do you agree to release this information to the service every time you access it?", select ACCEPT.

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Logging in to CVAT

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Navigating CVAT

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titlenotes from google doc

  • CVAT Pages

    • Projects – where users can create a new project, create a project from a backup, and also see the created projects. – NOTE: for the purposes of our usage, you do not need to worry about projects.

    • Tasks – Where to find separate tasks. They are sorted in creation order. This is the primary thing you’ll be working with

    • Jobs – where users can see the jobs that are assigned to them without having access to the task page, as well as track progress, sort and apply filters to the job list. NOTE: for the purposes of our usage, you do not need to worry about jobs

    • Cloud Storage - you can “attach” specific cloud storages to cvat directly (i.e. google cloud, azure) NOTE: for the purposes of our usage, you do not need to worry about cloud storage

    • Requests - allows users to track the status of data processing jobs such as exporting annotations or importing datasets. 

    • Models - contains a list of deep learning (DL) models deployed for semi-automatic and automatic annotation. (i.e. SAM)

Projects Page

Tasks Page

Jobs Page

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