code: def load_coco(image_set, dirname, shuffle=False):
      
      anno_files = ['instances_' + y.strip() + '.json' for y in image_set.split(',')]
      assert anno_files, "No image set specified"
      imdbs = []
      for af in anno_files:
          af_path = os.path.join(dirname, 'annotations', af)
          imdbs.append(Coco(af_path, dirname, shuffle=shuffle))
      if len(imdbs) > 1:
          return ConcatDB(imdbs, shuffle)
      else:
          return imdbs[0]
docs: wrapper function for loading ms coco dataset
  
      Parameters:
      ----------
      image_set : str
          train2014, val2014, valminusminival2014, minival2014
      dirname: str
          root dir for coco
      shuffle: boolean
          initial shuffle