From the course: Azure AI Engineer Associate (AI-102) Cert Prep: Implement Computer Vision Solutions

Unlock the full course today

Join today to access over 24,900 courses taught by industry experts.

Creating a Custom Vision project and ML workspace

Creating a Custom Vision project and ML workspace

From the course: Azure AI Engineer Associate (AI-102) Cert Prep: Implement Computer Vision Solutions

Start my 1-month free trial Buy for my team

Creating a Custom Vision project and ML workspace

“

- [Instructor] Now that we've covered what a custom Vision model is, let's see how we can create one ourselves. Here I am back in Azure Vision Studio, and I'll select Customize models with images. Next, I'll need to select the Azure AI Services resource I created earlier. Click in the name, and that'll take you into the next screen here. Here it asks you for the dataset that you want to train your images on. Before we can proceed, you need to have uploaded images to an Azure blob storage resource. I've already done this, so, let's go ahead and add a new data set for those images. In order to create a new data set, you need to specify the name of that data set, as well as the type of task that you're trying to accomplish. Here I'm just going to call my dataset Classify, 'cause I'm going to be creating a classification model. And next I need to select the task, and I'll choose image classification. After that, I need…

Contents