This is the multi-page printable view of this section. Click here to print.
We provide a variety of premium features exclusively for our paying customers.
For further details, please visit:
This article provides tips on how to effectively manage your CVAT subscriptions, including tracking expenses and canceling unnecessary subscriptions, to optimize your finances and save time.
Whether you’re a business owner or an individual, you’ll learn how to take control of your subscriptions and manage them.
See:
This section outlines the paid plans available on CVAT.ai.
| Name | Description |
|---|---|
| Solo | The Solo plan has a fixed price and is designed for personal use only. It does not assume collaboration with team members and is not suitable for use within organizations, but it removes all other limitations of the Free plan. Note: Although it allows the creation of an organization and access for up to 2 members – it is for trial purposes only! Organization and members will have all the limitations of the Free plan. |
| Team | The Team is for collaboration, it removes limitations of the Free plan for the whole organization, allowing you to share paid benefits with your colleagues. The monthly payment for the plan depends on the number of team members you’ve added. All limits of the Free plan will be removed. Note: The organization owner is also part of the team. So, if you have two annotators working, you’ll need to pay for 3 seats (2 annotators + 1 organization owner). |
Whether you’re a new user, or have a subscription to Team or Solo plan, you can subscribe to our annual plan and save up to 30% on CVAT.ai usage costs.
The annual subscription offers all the benefits of our paid plans but at a more affordable monthly rate.
For more information, see How to switch from monthly subscription to annual?
This section describes the billing model and gives short a description of limitations for each plan.
There are two types of subscriptions available for both the Solo and Team plans: monthly and annual.
For more information, see: Pricing Plans
To ensure VAT (tax) information and other relevant details are included on your CVAT.ai invoices, it’s important to add this information before making the first payment.
Here’s how you can do it:
Select checkbox I agree to refund policy (4).
Note: Please read the Refund policy before selecting the checkbox.
Click Pay & Subscribe.
All information you’ve added will appear on the billing page and in the invoice.
By following these steps, you can seamlessly add VAT and other crucial information to your invoices, making your financial transactions with CVAT.ai transparent and compliant.
In the top right corner, near the nickname, click on the arrow > manage plan.
You will see the Stripe page. Go to the Billing Information > Update Information.
Once an invoice has been paid, it is not possible to modify it. This restriction is due to the limitations of the payment processing platform used, which in the case of CVAT.ai, is Stripe.
Stripe’s policy dictates that revisions to an invoice can only be made before payment. For more comprehensive information on this policy, please refer to Stripe’s official documentation on invoice edits at their website.
If you require a quote from CVAT for payment via bank transfer, certain criteria must be met:
Should you meet these requirements, please write to support@cvat.ai
Sign of specific agreements and approvals are available if you meet specific criteria (the total subscription cost must be $10,000 and up per year), for more details contact support@cvat.ai
Yes, it is available if you fit the quota criteria, for details contact support@cvat.ai.
In the top right corner, near the nickname, click on the arrow > manage plan.
You will see the Stripe page. At the bottom of the page, you will see the Invoice History section with all invoices.
Invoices are automatically sent to the account owner’s address used for the registration.
To see the invoice click on the Show Invoice Icon
icon.
To consider your request for a discount, we’d need a few details from you:
All these details must be sent to support@cvat.ai. Once we have this information, we’ll gladly offer you a 50% discount for one year.
This section describes how to change or add payment methods.
Note At the moment this method of payment works only with US banks.
To pay with a bank transfer:
Note that the completion of the payment process may take up to three banking days.
In the top right corner, near the nickname, click on the arrow > manage plan > +Add Payment Method
Solo plan is for personal use only, you cannot add or remove team members.
Team plan is for collaboration. To add members to your Organization, go to the Manage Team plan > Update quantity.
If you’ve added a user before the current billing period ends, the payment will be prorated for the remaining time until the next billing cycle begins. From the following month onward, the full payment will be charged.
In case you removed the user before the current billing period ends, funds will not be returned to your account, but next month you will pay less by the amount of unused funds.
The procedure is the same for both Solo and Team plans.
If for some reason you want to change your plan, you need to:
If you have monthly subscription, and wish to switch to the Annual plan, please follow these steps:
The price will be adjusted according to the number of members, selected in the Quantity field (if updated), taking into account the amount of money that was not spent in the current period.
Upon payment, your subscription will be renewed and the start date will be reset to the day you switch to the new plan.
Paid plans are not mutually exclusive. You can have several active subscriptions, for example, the Solo plan and several Team plans for different organizations.
This section describes how to cancel your CVAT subscription and what will happen to your data.
Once you have terminated your subscription, your data will remain accessible within the system for a month. During this period, you will be unable to add new tasks and free plan limits will be applied.
In case you possess a substantial amount of data, it will be switched to read-only mode. It means you will not be able to save annotations, add any resources, and so on.
Following the one month, you will receive a notification requesting you to either remove the excess data or it will be deleted automatically.
To cancel the plan, in the top right corner, near the nickname, click on the arrow> manage plan > Cancel plan
Please, fill out the feedback form, to help us improve our platform.
To understand if you are eligible for a refund, see Refund policy.
Our team will review your request. We may request additional information if needed. Once approved, the refund will be processed to your original payment method within 5-10 business days.
To renew your CVAT.ai subscription, in the top right corner, near the nickname, click on the arrow> manage plan > Renew plan.
Note: This is a paid feature available for Enterprise clients.
You can now easily set up authentication with popular social services, which opens doors to such benefits as:
Currently, we offer three options:
With more to come soon. Stay tuned!
See:
To enable authentication, do the following:
Log in to the Google Cloud console
Create a project, and go to APIs & Services
On the left menu, select OAuth consent, then select User type (Internal or External), and click Create.
On the OAuth consent screen fill all required fields, and click Save and Continue.
On the Scopes screen, click Add or remove scopes and
select auth/userinfo.email, auth/userinfo.profile, and openid.
Click Update, and Save and Continue.
For more information, see Configure Auth Consent.
On the left menu, click Credentials, on the top menu click + Create credentials, and select OAuth client ID.
From the Application Type select Web application and
configure: Application name, Authorized JavaScript origins, Authorized redirect URIs.
For example, if you plan to deploy CVAT instance on https://localhost:8080, add https://localhost:8080
to authorized JS origins and https://localhost:8080/api/auth/social/goolge/login/callback/ to redirect URIs.
Create configuration file in CVAT:
auth_config.yml file with the following content:---
social_account:
enabled: true
google:
client_id: <some_client_id>
client_secret: <some_client_secret>
AUTH_CONFIG_PATH="<path_to_auth_config> environment variable.In a terminal, run the following command:
docker compose -f docker-compose.yml -f docker-compose.dev.yml -f docker-compose.override.yml up -d --build
There are 2 basic steps to enable GitHub account authentication.
Open the GitHub settings page.
On the left menu, click <> Developer settings > OAuth Apps > Register new application.
For more information, see Creating an OAuth App
Fill in the name field, set the homepage URL (for example: https://localhost:8080),
and authentication callback URL (for example: https://localhost:8080/api/auth/social/github/login/callback/).
Create configuration file in CVAT:
auth_config.yml file with the following content:---
social_account:
enabled: true
github:
client_id: <some_client_id>
client_secret: <some_client_secret>
AUTH_CONFIG_PATH="<path_to_auth_config> environment variable.In a terminal, run the following command:
docker compose -f docker-compose.yml -f docker-compose.dev.yml -f docker-compose.override.yml up -d --build
Note: You can also configure GitHub App, but don’t forget to add required permissions.
In the Permission > Account permissions > Email addresses must be set to read-only.
To enable authentication, do the following:
Create a user pool. For more information, see Amazon Cognito user pools
Fill in the name field, set the homepage URL (for example: https://localhost:8080),
and authentication callback URL (for example: https://localhost:8080/api/auth/social/amazon-cognito/login/callback/).
Create configuration file in CVAT:
auth_config.yml file with the following content:---
social_account:
enabled: true
amazon_cognito:
client_id: <some_client_id>
client_secret: <some_client_secret>
domain: https://<domain-prefix>.auth.us-east-1.amazoncognito.com
AUTH_CONFIG_PATH="<path_to_auth_config> environment variable.In a terminal, run the following command:
docker compose -f docker-compose.yml -f docker-compose.dev.yml -f docker-compose.override.yml up -d --build
The shapes converter is a feature that enables bulk actions on filtered shapes. It allows you to perform mutual conversion between masks, polygons and rectangles.
Note: All shapes converter work only when the filter is set up.
See:
Annotations actions can be accessed from the annotation menu. To access it, click on the burger icon and then select Run actions.
Note: All Shapes converter functions work in alignment with set up filter.
You will see the following dialog:
With the following fields:
| Field | Description |
|---|---|
| Select action | Drop-down list with available actions: Note: only Propagate shapes and Remove filtered shapes is available in the community version. |
| Specify frames to run action | Field where you can specify the frame range for the selected action. Enter the starting frame in the Starting from frame: field, and the ending frame in the up to frame field. If nothing is selected here or in Choose one of the predefined options section, the action will be applied to all fields. |
| Choose one of the predefined options | Predefined options to apply to frames. Selection here is mutually exclusive with Specify frames to run action. If nothing is selected here or in Specify frames to run action section, the action will be applied to all fields. |
Recommended Precautions Before Running Annotation Actions
Saving changes: It is recommended to save all changes prior to initiating the annotation action. If unsaved changes are detected, a prompt will advise to save these changes to avoid any potential loss of data.
Disable auto-save: Prior to running the annotation action, disabling the auto-save feature is advisable. A notification will suggest this action if auto-save is currently active.
Committing changes: Changes applied during the annotation session will not be committed to the server until the saving process is manually initiated. This can be done either by the user or through the auto-save feature, should it be enabled.
To convert shapes, do the following:
Annotate your dataset.
Set up filters.
From the burger menu, select Run actions.
Choose the action you need from the Select action drop-down list.
(Optional) In the Starting from frame field, enter the frame number where the action should begin, and in the up to frame field, specify the frame number where the action should end.
(Optional) Select an option from Or choose one of the predefined options to apply the action.
Click Run.
A progress bar will appear. You may abort the process by clicking Cancel until the process commits modified objects at the end of pipeline.
Note: Once the action is applied, it cannot be undone.
The basic idea behind this feature is to provide annotators with quick feedback on their performance in a job. When an annotator finishes a job, a dialog is displayed showing the quality of their annotations. The annotator can either agree or disagree with the feedback. If they disagree, they have the option to re-annotate the job and request feedback again.
To ensure transparency with the annotator, the immediate feedback shows the computed score and the minimum required score. Information about the specific errors or frames that have errors is not available to annotators.
Feedback is only available a limited number of times for each assignment, to prevent Ground Truth revealing by annotators. This is controlled by a configurable parameter, so it can be adjusted to the requirements of each project.
Immediate feedback settings, such as Target metric, Target metric threshold,
Max validations per job and others, can be configured on the quality settings page.
This feature is considered enabled if the Max validations per job is above 0. You can change
the parameters any time.
Note: This feature requires a configured validation set in the task. Read more in the quality overview section or in the full guide.
Target metric and Target metric threshold values to what is required in your project.
Each assignee gets no more than the specified number of validation attempts.
Note: this functionality is only available in regular annotation jobs. For instance, it’s not possible to use it in Ground Truth jobs.
There are three types of feedbacks available for different cases:
Immediate feedback has a default timeout of 20 seconds. Feedback may be unavailable for large jobs or when there are too many immediate feedback requests. In this case annotators do not see any feedback dialogs and annotate jobs as if the feature was disabled.
The number of attempts does not decrease for staff members who have access to a job with ground truth annotations. For instance, if you’re trying to test this feature as the task owner, you may be confused if you see the number of attempts doesn’t decrease.
The number of attempts resets when the job assignee is updated.
Segment Anything 2 is a segmentation model that allows fast and precise selection of any object in videos or images. For enterprise customers, this model can be installed in their self-hosted solution. To ensure a good experience, it is strongly recommended to deploy the model using a GPU. Although it is possible to use a CPU-based version, it generally performs much slower and is suitable only for handling a single parallel request. Unlike a regular tracking model, the SAM 2 tracker is implemented as an annotation action. This allows it to be applied to existing objects (polygons and masks) to track them forward for a specified number of frames.
Note: This feature is not available in the community CVAT version.
Note: This feature requires the enhanced actions UI plugin, which is enabled by default. Usually, no additional steps are necessary on this.
You can use existing scripts from the community repository
(./serverless/deploy_cpu.sh or ./serverless/deploy_gpu.sh).
To deploy the feature, simply run:
./serverless/deploy_gpu.sh "path/to/the/function"
cvat_redis_ondisk uses.
When running the nuclio deploy command, make sure to provide the necessary arguments.
The minimal command is:nuctl deploy "path/to/the/function"
--env CVAT_FUNCTIONS_REDIS_HOST="<redis_host>"
--env CVAT_FUNCTIONS_REDIS_PORT="<redis_port>"
--env CVAT_FUNCTIONS_REDIS_PASSWORD="<redis_password>" # if applicable
The tracker can be applied to any polygons and masks. To run the tracker on an object, open the object menu and click “Run annotation action”.
Alternatively, you can use a hotkey: select the object and press Ctrl + E (default shortcut). When the modal opened, in “Select action” list, choose Segment Anything 2: Tracker:
Specify the target frame until which you want the object to be tracked, then click the Run button to start tracking. The process begins and may take some time to complete. The duration depends on the inference device, and the number of frames where the object will be tracked.
Once the process is complete, the modal window closes. You can review how the object was tracked. If you notice that the tracked shape deteriorates at some point, you can adjust the object coordinates and run the tracker again from that frame.
Instead of tracking each object individually, you can track multiple objects simultaneously. To do this, click the Menu button in the annotation view and select the Run Actions option:
Alternatively, you can use a hotkey: just press Ctrl + E (default shortcut) when there are no objects selected. This opens the actions modal. In this case, the tracker will be applied to all visible objects of suitable types (polygons and masks). In the action list of the opened model, select Segment Anything 2: Tracker:
Specify the target frame until which you want the objects to be tracked, then click the Run button to start tracking. The process begins and may take some time to complete. The duration depends on the inference device, the number of simultaneously tracked objects, and the number of frames where the object will be tracked.
Once the process finishes, you may close the modal and review how the objects were tracked. If you notice that the tracked shapes deteriorate, you can adjust their coordinates and run the tracker again from that frame (for a single object or for many objects).