What is an Annotation?

What is an Annotation?

An annotation, as opposed to a label, is defined as a single piece of meta-information, such as an object (e.g. polyline, bounding box) or image category (e.g. sunny, outdoors, etc.) used to describe raw data. For example, in a raw (unmodified) image of a forest, you may choose to put a bounding box around individual flowers, or run a polygon segmentation on trees, or categorize the image as "forest". Once your annotation project is completed and you would like to export them, the export result will contain all of these annotations and their corresponding classes.
Related Manual:

How can I create an annotation?

You can create annotations in the Label Mode.
Related Manual:

Frequently Asked Questions (FAQ)

Q) Where can I see the types of annotation configured for each project?

In order to view the annotation details of your project, go to the Overview page and view the Project Config menu, or the Project Settings page.

Q) What types of annotation does the Superb AI Suite support?

The Superb AI Suite currently focuses on computer vision, 2D annotation tools. These include bounding boxes, polygon segmentation, polyline, keypoint, image categorization.
Related Manual: Step 1 - Project Type > Annotation Type

Q) How can I make changes to the types of annotations I use for my project?

After you finalize creating your project, you can change the annotation specs on the Project Settings page (available for Admin and Owner users only). You can freely add new object classes; however, labeled data may become incompatible if you delete or change existing object class configurations.
Any other questions? E-mail us at [email protected].