From the course: Power BI: Integrating AI

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Detecting items in image data

Detecting items in image data - Power BI Tutorial

From the course: Power BI: Integrating AI

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Detecting items in image data

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- [Instructor] The vision algorithm lets us add image tags to our data by running the images through the image tagging functionality, available using AI Insights in Power BI through Power Query. This AI model runs each image as an input. It then detects the related tags for that image by predicting what the image contains by comparing it against known existing images. It returns tags related to more than 2,000 recognizable objects, things, scenery and actions. To run the vision algorithm, we'll need to define images in Power Query as either base-64 field inputs or as URLs. You'll also need an account supporting the vision algorithm and the AI insights functionality in either Fabric or Power BI. I recommend checking the documentation to confirm what type of account you need. To run the vision algorithm, we're going to leverage images from our KinetECO company website. If we right-click on an image, we see there's a menu option to copy the URL link specifically for the image. I already…

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