Note: Use an Incognito or private browser window to run this lab. Access to a standard internet browser (Chrome browser recommended).It does so by giving you new, temporary credentials that you use to sign in and access Google Cloud for the duration of the lab. This hands-on lab lets you do the lab activities yourself in a real cloud environment, not in a simulation or demo environment. The timer, which starts when you click Start Lab, shows how long Google Cloud resources will be made available to you. ![]() Labs are timed and you cannot pause them. Setup and requirements Before you click the Start Lab button Review the process of performing batch prediction using an Cosmetic Inspection solution artifact. Review the process of creating a trained Cosmetic Inspection solution artifact. Review the process involved in evaluation of a trained Cosmetic Inspection model. Provide annotations for defect instances in the training images. Import training images to train a Visual Inspection AI Cosmetic Inspection model. In this lab, you will learn how to complete the following tasks:Ĭreate a Visual Inspection AI Cosmetic Inspection dataset. Model training can take a a long time so this lab is paired with Deploy and Test a Visual Inspection AI Cosmetic Anomaly Detection Solution where you deploy the Visual Inspection solution artifact created in this lab and then use that artifact to generate inferences about sample images. You will then use the UI to prepare a Visual Inspection AI Cosmetic Inspection model for training. In this lab, you will upload a collection of training images and then annotate these training images with a set of sample defect instances to facilitate Cosmetic Inspection solution training. on any kind of surface such as those shown in the following image. Visual Inspection AI Cosmetic Inspection inspects products to detect and recognize defects such as dents, scratches, cracks, deformations, foreign materials, etc.
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