![]() ![]() It is also available as a paid version with extended functionality and support. Label Studio is available as a Community edition open source data labeling tool. 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. ![]()
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