tlc.core.builtins.schemas.segmentation_schema

A schema for instance segmentation data

Module Contents

Classes

Class	Description
SegmentationSchema	A schema for instance segmentation data that includes RLE-encoded masks and per-instance properties.

API

class SegmentationSchema(

classes: str | Sequence[str] | Sequence[dict[str, str]] | Sequence[MapElement] | dict[float, str] | dict[int, str] | dict[float, MapElement] | dict[int, MapElement] | None = None,

display_name: str = '',

description: str = '',

sample_type: str = InstanceSegmentationPolygons.sample_type,

relative: bool = False,

writable: bool = True,

include_iscrowd: bool = False,

display_importance: float = 0,

*,

label_value_map: str | Sequence[str] | Sequence[dict[str, str]] | Sequence[MapElement] | dict[float, str] | dict[int, str] | dict[float, MapElement] | dict[int, MapElement] | None = None,

)

Bases: tlc.core.schema.Schema

A schema for instance segmentation data that includes RLE-encoded masks and per-instance properties.

Parameters:

• classes – The classes to use for the label. Accepts a list of class names, a dict mapping numeric keys to class names or MapElements, or a single class name string.

• display_name – Display name for the schema.

• description – Description of the schema.

• sample_type – Sample type for the column (valid values are “instance_segmentation_polygons” and “instance_segmentation_masks”).

• relative – Whether polygon coordinates are relative to image dimensions.

• writable – Whether the schema is writable.

• include_iscrowd – Whether to include the is_crowd field.

• display_importance – Display importance for UI ordering.

• label_value_map – Deprecated, use classes instead.