code: def parse_darknet_ann_list_to_cls_box(annotations):
      
      class_list = []
      bbox_list = []
      for ann in annotations:
          class_list.append(ann[0])
          bbox_list.append(ann[1:])
      return class_list, bbox_list
docs: Parse darknet annotation format into two lists for class and bounding box.
  
      Input list of [[class, x, y, w, h], ...], return two list of [class ...] and [[x, y, w, h], ...].
  
      Parameters
      ------------
      annotations : list of list
          A list of class and bounding boxes of images e.g. [[class, x, y, w, h], ...]
  
      Returns
      -------
      list of int
          List of class labels.
  
      list of list of 4 numbers
          List of bounding box.