Azure Custom Vision fails to load project with different error messages

Hello Iwema, Sibren,

Welcome to Microsoft Q&A,

Thank you for confirming that you have already verified your permissions and that your account has the Cognitive Services Contributor role. Since the required access is already in place, the issue is likely related to other factors such as service limits, tenant/session validation, or portal/network behavior, rather than a missing role.

Based on the errors shown in your screenshots (for example “OperationId … not supported for CheckAccess” and “One of your Azure accounts seems to have issues”) and the fact that the project sometimes loads successfully, here are a few additional areas to check.

1. Verify Free-tier usage limits

If your project is using the Free (F0) tier of Azure Custom Vision, certain usage limits apply:

Maximum 5,000 training images per project

Maximum 2 projects

1 hour of training per month

10,000 predictions per month

If one of these limits is exceeded, operations in the Training API or portal may fail and sometimes appear as generic errors.

Suggested step

Open your Custom Vision Training resource in the Azure portal → Pricing tier, and consider switching to S0 (Standard) to rule out quota restrictions.

2. Confirm the correct Azure directory and subscription

Even when permissions are correct, the portal may show access-related errors if the session is connected to the wrong Azure AD tenant or subscription.

Please check:

The Directory (tenant) selected in the Azure portal header

The Subscription associated with the Custom Vision resource

Make sure they match the environment where the project was created.

3. Refresh authentication session

Intermittent errors like the ones shown can sometimes be caused by expired tokens or cached authentication data.

You may want to try Signing out of the Azure portal, Closing the browser completely, Signing in again, Opening the project in an Incognito/Private browsing session

4. Check browser or network-related issues

Portal requests may intermittently fail if a browser cache issue or network filtering interferes with service calls.

You can try Clearing browser cache and cookies, Testing with a different browser, Trying from a different network if possible, Ensuring your network does not block endpoints such as:

• • *.customvision.ai
  • *.cognitiveservices.azure.com
• Why the project sometimes loads later

Because the project occasionally loads successfully after some time, it suggests that the project itself is intact and accessible, and the issue is more likely related to intermittent access validation or portal session behavior rather than a permanent configuration problem.

Since your Cognitive Services Contributor role is already confirmed, the issue may be caused by:

Free-tier quota limits

Tenant or subscription mismatch

Authentication/session cache issues

Browser or network filtering affecting portal requests.

I Hope this helps. Do let me know if you have any further queries.

Thank you!

Hi Iwema, Sibren,

Did you get any chance to review the above response. Do let me know if you have any further queries.

Thank you!

Hello @SRILAKSHMI C

I tried with Private Browser yesterday shortly after your comment, and it worked at the office via office network. I tried again just now at home, via regular browser (Firefox), private session, and Edge, and all of them failed.

I am using the Free Tier with one project, about 3000 images, unsure how much time was used for training, and no predictions yet. Tenant and subscription match.

This is expected behavior in case I go over the 1 hour training time a month? Based on my experience so far, I do not want to switch to the paying S0 tier to pay for an alpha software, but rather switch to a competitor product.

Hi Iwema, Sibren,

Thanks for the detailed update.

Based on what you’ve shared, this does not look like expected behavior due to Free tier limits, and I completely understand your concern here.

About the Free (F0) tier limits

Going over the 1 hour/month training limit typically results in:

Training jobs being blocked or rejected

Clear quota-related or rate-limit messages

However, it does not normally cause:

Project load failures

Errors like “OperationId … not supported for CheckAccess”

Intermittent portal access issues

Also, your current usage:

• ~3000 images (within 5000 limit)
• 1 project (within limit)
• No predictions

So based on this, quota exhaustion is unlikely to be the root cause of the project failing to load.

What your latest observation indicates

The key signal here is:

It worked once in a private session on the office network, but consistently fails now across browsers and networks

This strongly suggests the issue is not tied to browser cache or a specific network, but rather:

Intermittent backend/service issue, or

Access validation inconsistency in the Custom Vision service

The error OperationId … not supported for CheckAccess is not something expected from normal usage or quota limits, and points more toward a service-side validation issue.

Clarification,

This is not expected or intended behavior, even on the Free tier.

You should still be able to:

• Open your project reliably
• View and manage your data Even if training limits are reached.

Recommended next steps

Since you mentioned it worked intermittently before, this may still be transient.

Try opening the project through the Azure Portal instead of direct links.

If the issue persists Please let me know, and I will check with the backend team for further investigation.

Thank you!

Dear SRILAKSHMI C,

Accessing the projects via direct link or via the Custom Vision portal (customvision.ai) results in the same behaviour.
If you specifically mean the Azure Portal (portal.azure.com), please let me know how to access the project via the Azure Portal.