Classify Images of Clouds in the Cloud with AutoML Vision
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 GCP 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 Google 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.
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Enable the AutoML API
Create a Cloud Storage Bucket
Create a dataset
Run the pedictions(Check the accuracy for the model)