Hello video data

This tutorial walks you through the required steps to train and get predictions from your video classification model in the Google Cloud console. You'll set up your Google Cloud project to use Vertex AI. Then create a Cloud Storage bucket and copy image files to use for training an AutoML video classification model.

To complete this tutorial, you can either follow the instructions in the following pages or use the in-console walkthrough tutorial, which is a similar tutorial in the Google Cloud console.

Tutorial pages

This tutorial has several pages:

1. Setting up your project.
2. Creating a video classification dataset.
3. Training an AutoML video classification model.
4. Deploying the model for batch predictions.
5. Cleaning up your project.

In-console walkthrough tutorial

These two tutorials are available in the Google Cloud console.

Part 1

In this tutorial, you'll learn how to build a video classification model using Google's AutoML technology.

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To follow step-by-step guidance for this task directly in the Google Cloud console, click Guide me:

Guide me

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Part 2

This is the second tutorial on building an AutoML video classification model. You'll need the model you trained in Part 1 to continue.

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To follow step-by-step guidance for this task directly in the Google Cloud console, click Guide me:

Guide me

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