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Categories and task attributes

When editing the category and task attribute configuration directly, you need to adhere to the following format:

Configuration format

{
"format_version": "0.1",
"categories": [
{ ... },
{ ... },
{ ... }
],
"image_attributes": [ // optional image-level attributes
{ ... },
{ ... },
{ ... }
],
"circle_radius": 50 // optional ego circle in 3D vector interfaces
}
Name
Type
Description
categories
array of categories
Required. List of all possible categories for a label in this dataset.
image_attributes
array of attributes
List of image-level attributes.
circle_radius
int
The radius of the circle around the ego position in the 3D cuboid and vector interface. Can be used to indicate a region in which objects should be annotated.
The categories array should contain at least one category.

Category

{
"name": "car",
"id": 1,
"color": [33, 138, 33], // optional
"has_instances": true, // optional
"lock_dimensions": true, // optional, false by default
"lock_rotation": true, // optional, false by default
"lock_position": true, // optional, false by default
"attributes": [ // optional object-level attributes
{ ... },
{ ... },
{ ... }
],
"dimensions": { // optional, only valid in the point cloud cuboid editor
"x": 0.6564944386482239,
"y": 1.3789583444595337,
"z": 1.6037739515304565
},
"foo": "bar" // optional custom key-value pairs. These will be ignored.
}
Name
Type
Description
name
string
Required. Name of the category.
id
int
Required. Index of the category.
color
array of 3 float values in [0, 255]
RGB color of the category.
has_instances
boolean
Whether the category contains instances (person, car) or not (sky, road)
attributes
array of attributes
List of object-level attributes.
dimensions
object: { "x": float, "y": float, "z": float }
Default XYZ dimensions of a new cuboid. Only valid in the point cloud cuboid editor (see Create a cuboid with default dimensions).
...
...
Other key-value pairs can be supplied, but will be ignored.

Attribute

{
"name": "color",
"input_type": "select",
"values": [
"green",
"yellow",
"red"
],
"default_value": "red" // optional
"is_mandatory": true // optional
"is_track_level: true // for sequence interfaces, optional
}
Name
Type
Description
name
string
Required. Name of the attribute.
input_type
string: select | text | number | checkbox
Required. Type of the attribute.
values
array of strings
Required when input_type is select. List of possible values.
min
string
Valid when input_type is number. Minimum value the attribute can be.
max
string
Valid when input_type is number. Maximum value the attribute can be.
step
string
Valid when input_type is number. Step when incrementing/decrementing the value of the attribute.
default_value
string | boolean depending on input_type
Default value of the attribute.
is_mandatory
boolean
Valid when input_type is select, text or number. Whether the attribute is mandatory. Mandatory attributes raise a warning when not filled in.
is_track_level
boolean
Valid in sequence datasets. Whether an attribute should remain constant across all frames for an object with a certain track ID. If false, the attribute can change each frame.

Additional examples

{
"name": "description",
"input_type": "text",
"default_value": "A nice car.", // optional
"is_mandatory": true // optional
},
{
"name": "number_of_wheels",
"input_type": "number",
"min": "1", // optional
"max": "20", // optional
"step": "1", // optional
"default_value": 4, // optional
"is_mandatory": true // optional
},
{
"name": "is_electric",
"input_type": "checkbox",
"default_value": false // optional
}
Note that the inline comments in the examples should be left out, as comments of the form//… or /*…*/ are not allowed in JSON.