menu
arrow_back

Classify Images of Clouds in the Cloud with AutoML Vision

—/100

Checkpoints

arrow_forward

Enable the AutoML API

Create a Cloud Storage Bucket

Create a dataset

Run the pedictions(Check the accuracy for the model)

Classify Images of Clouds in the Cloud with AutoML Vision

2 个小时 7 个积分

GSP223

Google Cloud Self-Paced Labs

Overview

AutoML Vision helps developers with limited ML expertise train high quality image recognition models. Once you upload images to the AutoML UI, you can train a model that will be immediately available on Google Cloud for generating predictions via an easy to use REST API.

In this lab you will upload images to Cloud Storage and use them to train a custom model to recognize different types of clouds (cumulus, cumulonimbus, etc.).

What you'll learn

  • Uploading a labeled dataset to Cloud Storage and connecting it to AutoML Vision with a CSV label file.

  • Training a model with AutoML Vision and evaluating its accuracy.

  • Generating predictions on your trained model.

加入 Qwiklabs 即可阅读本实验的剩余内容…以及更多精彩内容!

  • 获取对“Google Cloud Console”的临时访问权限。
  • 200 多项实验,从入门级实验到高级实验,应有尽有。
  • 内容短小精悍,便于您按照自己的节奏进行学习。
加入以开始此实验