class_docstr: The StanfordCars dataset, mapping images to their respective class
code: def __getitem__(self, idx: int):
      image_name = self.annotations[idx][5][0]
      target_id = self.annotations[idx][4][0, 0]
      image_path = os.path.join(self.image_folder, image_name)
      # Beware: Stanford cars targets starts at 1
      target_name = self.class_names[target_id - 1]
      return image_path, target_name
  
imports: import argparse
  import os
  import shutil
  from scipy import io
  from torch.utils.data import DataLoader
  from tqdm import tqdm
  from vissl.utils.download import download_and_extract_archive, download_url
  from vissl.utils.io import cleanup_dir
label_desc: Use image node_id 5 for calling the StanfordCars obj's underlying member method code with example usage: obj.__getitem__(idx) and returns: image_path,  target_name