class_docstr: GTSRB Dataset
  
  homepage="https://benchmark.ini.rub.de"
class_docstr_tok: ["GTSRB","Dataset","homepage=","''","https",":","\/\/benchmark.ini.rub.de","''"]
code: def __init__(
      self,
      root: Union[str, pathlib.Path],
      *,
      split: str = "train",
      skip_integrity_check: bool = False,
  ) -> None:
      self._split = self._verify_str_arg(
          split, "split", {"train", "test"}
      )
      self._categories = _info()["categories"]
      super().__init__(root, skip_integrity_check=skip_integrity_check)
  
file_path: vision/torchvision/prototype/datasets/_builtin/gtsrb.py
imports: import pathlib
  from typing import Any, Dict, List, Optional, Tuple, Union
  from torchdata.datapipes.iter import CSVDictParser, Demultiplexer, Filter, IterDataPipe, Mapper, Zipper
  from torchvision.prototype.datasets.utils import Dataset, EncodedImage, HttpResource, OnlineResource
  from torchvision.prototype.datasets.utils._internal import hint_sharding, hint_shuffling, INFINITE_BUFFER_SIZE, path_comparator
  from torchvision.prototype.tv_tensors import Label
  from torchvision.tv_tensors import BoundingBoxes
  from .._api import register_dataset, register_info
label_desc: Use image node_id 1 to create a new GTSRB object from inherited base classes: Dataset with example: obj = GTSRB(root)