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Summary: This is a summary of an article originally published by The New Stack. Read the full original article here →
Google’s Vertex AI is a unified machine learning and deep learning platform that supports AutoML models and custom models. There are three steps involved in training this model: dataset creation, training, and inference.
For this tutorial, we will use the raw dataset of faces with mask and without mask created by Prajna Bhandary.
We will upload these images to Google Cloud Storage bucket with two folders — mask and no-mask.
This will append lines to the CSV file with the path of images with no mask.
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