BOX LABELLER HOW TO

Items will then appear with a suggested label that comes from a machine learning classification model. If so, switch to one of the multiple image views to take advantage of the grouping.Īt a later point, you may see Tasks prelabeled next to the project name. This means that images are grouped together to present similar images on the same page. If these algorithms are enabled in your project, you may see the following:Īfter some amount of data have been labeled, you may see Tasks clustered at the top of your screen next to the project name. Machine learning algorithms may be triggered during your labeling. You can select the first nine tags by using the number keys on your keyboard. In all data labeling tasks, you choose an appropriate tag or tags from a set that's specified by the project administrator. Or at the bottom of the page, select Start labeling. After you read this information, at the top of the page select Tasks. They explain the type of data that you're facing, how you should make your decisions, and other relevant information. You see instructions that are specific to your project. In the table of data labeling projects, select the Label data link for your project.

If so, select Data labeling on the left-hand side to find the project. Get this information from your project administrator.ĭepending on your access level, you may see multiple sections on the left. Select the subscription and the workspace that contains the labeling project. Sign in to Azure Machine Learning studio. Contributor level access to the workspace that contains the labeling project.A Microsoft account or an Azure Active Directory account for the organization and project.

BOX LABELLER HOW TO

How to use the tools for specific labeling tasks.

Box labeller