code: def camvid_ds(camvid_records) -> Tuple[Dataset, Dataset]:
      train_records, valid_records = camvid_records.make_splits(
          RandomSplitter([0.8, 0.2], seed=0)
      )
  
      IMG_SIZE = 64
      tfms_ = tfms.A.Adapter(
          [A.Resize(IMG_SIZE, IMG_SIZE), A.Normalize()]
      )
  
      train_ds = Dataset(train_records, tfms_)
      valid_ds = Dataset(valid_records, tfms_)
      assert len(train_ds) == 4
      assert len(valid_ds) == 1
  
      return train_ds, valid_ds
  
imports: import pytest
  from icevision import *
  from icevision.imports import *
  from icevision.models.torchvision import faster_rcnn, keypoint_rcnn
  from icevision.models.ross import efficientdet
  from icevision.models.ross.efficientdet.backbones import *
  import albumentations
label_desc: Use image node_id 7 for calling a global function with example usage: camvid_ds(camvid_records) and returns: train_ds,  valid_ds