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
        { ... },
        { ... },
        { ... }
    ]
}
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.
The categories array should contain at least one category.
Category
{
    "name": "car",
    "id": 1,
    "color": [33, 138, 33], // optional
    "has_instances": true, // optional
    "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.

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.

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.

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 `string`s	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.

Last modified 7mo ago