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Labs

Identifying Landmarks with Vision API

Google Cloud Vision API is capable of recognizing a range of different types of objects in images, such as faces, text, and even handwriting. In this hands-on lab, you’ll use the API to detect and identify landmarks from around the globe in both a Cloud Storage bucket and via a remote URL.

Lab platform
Lab Info
Level
Intermediate
Last updated
Sep 23, 2025
Duration
45m

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Table of Contents
  1. Challenge

    Enable the API

    Enable the Google Cloud Vision API, either through the GCP console or the Cloud Shell.

  2. Challenge

    Create the Required Cloud Storage Bucket

    Create the Cloud Storage bucket to hold the images being processed.

  3. Challenge

    Retrieve Files from the Repo and Copy Them to the Bucket

    Clone the GitHub repository to retrieve the example files and copy them to the Cloud Storage bucket.

  4. Challenge

    Call Vision API

    Execute the command to call the Cloud Vision API and process the specified file.

    Note: You will see and identify different images from what is shown in the video.

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