code: def active_pascal(
      path="/tmp",
      *args,
      transform=transforms.ToTensor(),
      test_transform=transforms.ToTensor(),
      **kwargs,
  ):
      """Get active Pascal-VOC 2102 dataset.
      Arguments:
          path : str
              The root folder for the Pascal dataset
      Returns:
          ActiveLearningDataset
              the active learning dataset, training data
          Dataset
              the evaluation dataset
      """
  
      return (
          ActiveLearningDataset(
              datasets.VOCSegmentation(
                  path,
                  image_set="train",
                  transform=transform,
                  download=False,
                  *args,
                  **kwargs,
              )
          ),
          datasets.VOCSegmentation(
              path,
              image_set="val",
              transform=test_transform,
              download=False,
              *args,
              **kwargs,
          ),
      )
  
file_path: baal/experiments/segmentation/utils.py
imports: from typing import List
  import numpy
  import segmentation_models_pytorch
  from segmentation_models_pytorch.base.modules import Activation
  import torch
  from torch import nn
  from torch.nn import functional
  from torchvision import datasets
  from torchvision.transforms import transforms
  from baal import ActiveLearningDataset
label_desc: Use image node_id 1 for calling a global function with example usage: active_pascal(path) and returns: ActiveLearningDataset,  datasets