Navigate to the "Label Definitions" sub-tab of your project
Type label name in the "Name" field
Rectangle is default in "Type" dropdown
Select label color from the color chooser menu
Click "Save" button
Repeat as needed for multiple labels
Rectangles enable object detection.
Architectures such as R-CNN, YOLO and SSD support rectangles (also known as bounding boxes) as input. Some use cases include detecting people in photos, buildings in satellite imagery, and gunshots in audio spectrograms.
This is useful for having classes associated with higher level instances. Example: drawing rectangles around birds for object detection, but having a class for types of bird within the rectangle (Duck, Geese, etc...).
Click "Add Sublabel"
Type a sublabel name
Choose sublabel type
Fill out label options
The Rectangle schema element creates an array of objects with data consisting of minimum and maximum XY coordinates. These minimum and maximum values define the boundaries of the rectangle. The XY coordinate values are relative (0.0 to 1.0) to width and height respectively.