Identify Damaged Car Parts with Vertex AutoML Vision

In this Project, you will:

Upload a labeled dataset to Cloud Storage using a CSV file and connect it to Vertex AI as a Managed Dataset

Inspect uploaded images to ensure there are no errors in your dataset

Review your trained model and evaluate its accuracy

1 hour 30 minutes
Intermediate
No download needed
Shareable certificate
English
Desktop only

This is a self-paced lab that takes place in the Google Cloud console. Vertex AI brings together the Google Cloud services for building ML under one, unified UI and API. In Vertex AI, you can now easily train and compare models using AutoML or custom code training and all your models are stored in one central model repository. These models can now be deployed to the same endpoints on Vertex AI. AutoML Vision helps anyone with limited Machine Learning (ML) expertise train high quality image classification models. In this hands-on lab, you will learn how to produce a custom ML model that automatically recognizes damaged car parts. Once you’ve produced your ML model, it’ll be immediately available for use. You can use the UI or the REST API to start generating predictions directly from the Google Cloud Console.

Skills you will develop

  • Machine Learning

  • Google Cloud Platform

  • Cloud API

  • Vertex AI

How Projects work

Learn a new tool or skill in an interactive, hands-on environment

You'll gain access to software and tools in a cloud workspace - no download required

Offered by

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Google Cloud

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