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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.). Set up AutoML Vision AutoML Vision provides an interface for all the steps in training an image classification model and generating predictions on it. Start by enabling the Cloud … Continue reading Classify Images of Clouds in the Cloud with AutoML Vision

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How to Use AutoML and Vision API in GCP

What is the Vision API and what can it do? The vision API is an API that uses machine learning and other Google services to extract information from images. The sorts of predictions that it can currently make include but are not limited to the following list: Label Detection, which is used to detect the presence of certain broad classes of objects within images Text Detection, which can be used to extract text from images, a process that also is referred to as OCR Safe Search Detection, which can be used to check if an image is safe to serve … Continue reading How to Use AutoML and Vision API in GCP