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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.


Path Info

Clock icon Intermediate
Clock icon 45m
Clock icon Jun 03, 2022

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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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What's a lab?

Hands-on Labs are real environments created by industry experts to help you learn. These environments help you gain knowledge and experience, practice without compromising your system, test without risk, destroy without fear, and let you learn from your mistakes. Hands-on Labs: practice your skills before delivering in the real world.

Provided environment for hands-on practice

We will provide the credentials and environment necessary for you to practice right within your browser.

Guided walkthrough

Follow along with the author’s guided walkthrough and build something new in your provided environment!

Did you know?

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