Google Cloud Vision

with the google cloud vision app in {{product name}} , you can run a localizer for object detection within an image and iterate the result array requirements to use the google cloud vision app in {{product name}} , you must have a google cloud vision ai account with billing enabled connect google cloud vision and {{product name}} to get started, you must first create a connection between google cloud vision and {{product name}} , allowing the two services to communicate to create the connection, you need to google cloud vision docid\ q9cte6zfbfmfalkrxyrgs google cloud vision docid\ q9cte6zfbfmfalkrxyrgs create and configure a google cloud platform project for google cloud vision before you establish the connection in {{product name}} , you must create and configure a project in the google cloud platform to obtain your api key your google account must have cloud billing set up in order to enable the required apis in your project for information regarding how to create and manage cloud billing, see google's manage your cloud billing account guide https //cloud google com/billing/docs/how to/manage billing account create a google cloud platform project for google cloud vision to create a google cloud platform project log in to the google cloud platform using your google credentials on the welcome page, click create or select a project > new project if you already have a project, proceed to the step 5 enter a project name and select the location for your project click create select a project in the top menu, check if your new project is selected in the select a project dropdown if not, select the project you just created to create a new project or work in the existing one, you need to have the serviceusage services enable permission if you don’t have this permission, ask the google cloud platform project owner or project iam admin to grant it to you enable apis for google cloud vision to enable the required api open the left navigation menu and go to apis & services > library search for the following api cloud vision api click cloud vision api , then click enable if you see the manage button instead of the enable button, you can proceed to the next step the api is already enabled obtain your google cloud vision api key to obtain your api key in the left sidebar, click apis & services > credentials click + create credentials > api key copy your api key value shown and store it in a safe place you will use this value in the api key field in {{product name}} create the connection with google cloud vision in {{product name}} to create the connection log in to your {{product name}} account, add a google cloud vision module to your {{scenario singular lowercase}} , and click create a connection optional in the connection name field, enter a name for the connection in the api key field, enter the value you copied in the google cloud vision docid\ q9cte6zfbfmfalkrxyrgs above click sign in with google if prompted, authenticate your account and confirm access you've successfully created the connection and can now use the google cloud vision app in your {{scenario plural lowercase}} if you want to make changes to your connection in the future, follow the steps connect an application docid\ so88fm6pkt0g adkddfzz google cloud vision modules after connecting to the google cloud vision app, you can use the following types of modules to build your {{scenario plural lowercase}} images run handwriting detection within an image run label detection within an image run text detection (ocr) within an image run localizer for object detection within an image and iterate the result array run landmark detection within an image and iterate the results run face detection within an image and iterate the result array compute image dominate colors and iterate the result array detect potentially unsafe or undesirable content within an image run text detection (ocr) within a file and iterate the result array templates you can look for google cloud vision templates in make's template gallery , where you'll find thousands of pre created {{scenario plural lowercase}} google cloud vision resources google cloud vision api documentation https //cloud google com/vision/docs/reference/rest