Check out release 1.6 with Video Object Tracking

Quick Start


The RectangleLabels tag creates labeled rectangles. Use to apply labels to bounding box semantic segmentation tasks.

Use with the following data types: image


Param Type Default Description
name string Name of the element
toName string Name of the image to label
[choice] single | multiple single Configure whether you can select one or multiple labels
[maxUsages] number Maximum number of times a label can be used per task
[showInline] boolean true Show labels in the same visual line
[opacity] float 0.6 Opacity of rectangle
[fillColor] string Rectangle fill color in hexadecimal
[strokeColor] string Stroke color in hexadecimal
[strokeWidth] number 1 Width of stroke
[canRotate] boolean true Show or hide rotation control

Sample Results JSON

Name Type Description
original_width number width of the original image (px)
original_height number height of the original image (px)
image_rotation number rotation degree of the image (deg)
value Object
value.x number x coordinate of the top left corner before rotation (0-100)
value.y number y coordinate of the top left corner before rotation (0-100)
value.width number width of the bounding box (0-100)
value.height number height of the bounding box (0-100)
value.rotation number rotation degree of the bounding box (deg)

Example JSON

  "original_width": 1920,
  "original_height": 1280,
  "image_rotation": 0,
  "value": {
    "x": 3.1,
    "y": 8.2,
    "width": 20,
    "height": 16,
    "rectanglelabels": ["Car"]


<!--Basic labeling configuration for applying labels to rectangular bounding boxes on an image -->
  <RectangleLabels name="labels" toName="image">
    <Label value="Person" />
    <Label value="Animal" />
  <Image name="image" value="$image" />