code: def get_default_semantic_segmentation_scorers() -> (
      t.Dict[str, Metric]
  ):
      return {"Dice": semantic_segmentation_dict["dice_per_class"]()}
  
file_path: deepchecks/deepchecks/vision/metrics_utils/scorers.py
imports: import typing
  from copy import copy
  from numbers import Number
  import numpy
  import pandas
  import torch
  from ignite.metrics import Metric
  from deepchecks.core import DatasetKind
  from deepchecks.core.errors import DeepchecksNotSupportedError, DeepchecksValueError
  from deepchecks.utils.metrics import get_scorer_name
  from deepchecks.vision.metrics_utils import CustomClassificationScorer, CustomMetric, ObjectDetectionAveragePrecision, ObjectDetectionTpFpFn
  from deepchecks.vision.metrics_utils.semantic_segmentation_metrics import MeanDice, MeanIoU
  from deepchecks.vision.vision_data import TaskType, VisionData
label_desc: Use image node_id 3 for calling a global function with example usage: get_default_semantic_segmentation_scorers() and returns: dict