Quotas & Limits

This document contains current restrictions and usage quotas on use of AutoML Vision. This page will be updated to reflect any changes to these restrictions and usage quotas.

These quotas apply to each AutoML Vision project and are shared across all applications and IP addresses using a given project.

You can edit your quotas up to their maximum values by selecting EDIT QUOTAS from the Quotas page of the Google Cloud Platform Dashboard. Edit the quotas for the Cloud AutoML API. To request an increase above the maximum quota, edit your quota with your requested increase and justification and submit your update. You will be notified when your request has been received. You might be contacted for more information regarding your request. After your request has been reviewed, you will be notified whether it has been approved or denied.

AutoML Vision has quotas associated with creating models, human labeling, and making requests to the models.

Modeling quotas

Activity Default quota
Model creation requests per minute 10
Concurrent model training requests 5

Human labeling request quotas

The number of images for which you can request human labeling is 5000 per month.

Request quotas

The current usage quotas for AutoML Vision are 600 prediction requests per minute per project and 600 non-prediction requests per minute per project. These quotas apply collectively to all deployed models.


Type of limit Value
Image file size Maximum: 30MB
Images per dataset Maximum: 1,000,000
Labels per dataset Minimum: 2
Maximum: 5000
Images per label Minimum: 10
Recommended: 1000
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