Quotas & Limits

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

These quotas apply to each Cloud AutoML Vision Object Detection 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.

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

Modeling quotas

Activity Default quota
Concurrent model training (creation) requests 5

Request quotas

The current usage quotas for AutoML Vision Object Detection for non-prediction requests is 600 per minute per project. It applies collectively to all deployed models.

Online prediction request quotas

The number of online prediction per minute for Cloud AutoML Vision Object Detection are based on how many nodes are deployed. As is explained on the pricing page, many customers find that with one node hour they can serve maximum 1.5 QPS. You can adjust the number of nodes when you deploy your model. However, the total number of nodes across all the deployed models in the project is subject to the quota below.

Activity Default quota
The number of deployed model nodes 10

Offline batch prediction requests

The current usage quotas for Cloud AutoML Vision Object Detection are 5 concurrent batch prediction requests per project. These quotas apply collectively to all deployed models in a project.

Limits

Type of limit Value
Image file size Maximum: 30MB
Images per dataset Maximum: 1,000,000
Labels per dataset Minimum: 1
Maximum: 100
Images per label Minimum: 10
Recommended: 1000
Batch input CSV file size Maximum: 100MB
Number of images in batch input Maximum: 300,000

Review quotas on Google Cloud Console

There are two main ways to view your current quota limits in the Google Cloud Console:

  • Using the Quotas page, which gives you a list of all your project's quota usage and limits.
  • Using the console, which gives you quota information for a particular API, including resource usage over time.

Locate specific operation quotas in the Quotas page by first selecting Cloud AutoML API from the Service menu. With Service: Cloud AutoML API selected you can then select the appropriate Metric.

Examples:

Operation descriptionMethod nameMetric name in console
Image classification: Simultaneous model training projects.locations.models.create "Concurrent image classification model creation requests"
Image classification: Online prediction projects.locations.models.predict "Online image classification prediction requests per minute"
Object detection: Simultaneous model training projects.locations.models.create "Image object detection concurrent model creation requests"
Object detection: Simultaneous offline batch prediction projects.locations.models.batchPredict "Image object detection concurrent batch prediction requests"

Quotas page:

Quotas page with AutoML Vision quotas listed