![]() Before customizing Label Studio extensively, you might want to review Label Studio Enterprise Edition to see if it already contains the relevant functionality you want to build. You can use any of the Label Studio components in your own tools, or customize them to suit your needs. Export the labeled data or the annotations.Only available in Label Studio Enterprise Edition. ![]() Add the labels that you want annotators to apply and customize the labeling interface. Define the type of labeling to perform on the dataset and configure project settings. Create an account to manage and set up labeling projects. Start and finish a labeling project with Label Studio by following these steps: See all available templatesĬonfiguration options to customize the labeling interface. See import pre-annotationsĮxample labeling configurations that you can use to specify the type of labeling that you’re performing with your dataset. Previously called “completions”.Īnnotations in Label Studio format that machine learning models create for an unlabeled dataset. See Label Studio JSON format of annotated tasks. What you add to each region while labeling a task in Label Studio.Ī defined relationship between two labeled regions.Ī label applied to a specific region as stored in an annotation or prediction. For text, an example region is a span of text. For images, an example region is a bounding box. The portion of the task identified for labeling. For example: a sentence of text, an image, or a video clip. What you import into Label Studio, comprised of individual items, or labeling tasks.Ī distinct item from a dataset that is ready to be labeled, pre-annotated, or has already been annotated.
0 Comments
Leave a Reply. |
AuthorWrite something about yourself. No need to be fancy, just an overview. ArchivesCategories |