Categories and 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 on each frame.
synced_across_sensors	boolean	Valid in multi-sensor datasets. Whether an attribute should remain constant across all sensors for an object with a certain track ID. If false, the attribute can change on each sensor.
sensors	string: 2D |3D| all	Valid in multi-sensor datasets. Whether an attribute applies to 2D sensors, 3D sensors, or all sensors.

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.