docs/source/guide/glossary.md
The following table describes some terms you might encounter as you use Label Studio:
| Term | Description |
|---|---|
| Annotations | The output of a labeling task. Previously called "completions". The terms "annotations" and "labels" are frequently used interchangeably. |
| Bounding box | Region within an image. |
| Dataset | What you import into Label Studio, comprised of individual items, or labeling tasks. |
| Labels | What you add to each region while labeling a task in Label Studio. |
| Label stream | When you click Label All Tasks from the Data Manager, you are working within the label stream. |
| Labeling configuration | The labeling configuration determines what annotators and reviewers will see. It is configured in the project settings. |
| Predictions, | |
| Pre-annotations | Annotations in Label Studio format that machine learning models create for an unlabeled dataset. See import pre-annotations |
| Relation | A defined relationship between two labeled regions. |
| Result | A label applied to a specific region as stored in an annotation or prediction. See Label Studio JSON format of annotated tasks. |
| Quick view | The "quick view" is what you see when you click an individual item in the Data Manager to open it (different than viewing it in the "label stream"). |
| Record | Item in a dataset. |
| Region | The portion of the task identified for labeling. For example, when working with text, this might be a specific span of text or field. For images, an example region is a bounding box. For text, an example region is a span of text. Often has a label assigned to it. |
| Task | When you upload data to Label Studio, each item in the dataset becomes a labeling task. A task is a distinct item from a dataset that is ready to be labeled, pre-annotated, or has already been annotated. For example: a text snippet, an image, or a video clip. |
| Tags | Configuration options to customize the labeling interface. See more about tags. |
| Templates | Example labeling configurations that you can use to specify the type of labeling that you're performing with your dataset. See all available templates |